Make yourself visible and let companies apply to you.
Roles

Tableau Jobs in London

Overview

Looking for top Tableau jobs in London? Discover the latest opportunities for data analysts, BI developers, and visualization experts on Haystack. Whether you're an experienced Tableau professional or just starting, our London-based job listings connect you with leading companies seeking your skills. Start your next career move today with Haystack’s Tableau jobs in London!
Filters applied
London
Tableau
Search
Salary
Location
Remote preference
Role type
Seniority
Tech stack
Sectors
Contract type
Company size
Visa sponsorship
Data Analyst - Fintech SaaS Game Changer. Hybrid
RecruitmentRevolution.com
Epsom
Hybrid
Mid - Senior
Private salary
RECENTLY POSTED
python
zendesk
sql
looker
tableau
This isn’t a back-office data role.You’re not buried in IT, and you’re not just building dashboards for someone else to interpret.You’re the data expert who sits alongside the sales team, fixes the spreadsheets everyone else avoids, turns messy data into insight, and helps customers get live and confident with the platform. Half your day is deep in numbers and automation. The other half is working directly with people - onboarding, training, and enabling real-world outcomes.If you’re a hands-on Data Analyst who enjoys ownership, visibility, and influence - and you want your work to directly impact growth - this role is built for you.The Role at a Glance: Data Analyst Epsom, Surrey HQ Based 3 days / 2 days per week working from home £30,000 - £40,000 DOE Plus Benefits and potential progression to Head of Customer Success Full time, Permanent - Monday - Friday - 8:30am - 5:30pmAwards: British Credit Awards 2025 Finalist for Innovation in Credit. Fintech Winners at the CICM British Credit Awards 2023, Credit & Collections FinTech Supplier Award 2023 Clients: Verizon, Informa plc, Zoopla, Rentokil, Haymarket, SSE, Zendesk, Johnson Controls, ADT and More Culture: Informality and Flexibility, Work-Life Balance, Wellbeing, Personal Growth and TrustYour Skills: Data Analyst. Python. SQL. An expert with Excel. Customer Service.Who we are:We power a financial tool that solves a problem for the majority of B2B Global companies irrespective of size, with a working monetisable model and a path to Global scale.Having recently launched our MVP, we are currently working with new clients to elicit feedback and improve the usability to support scalable growth.Feedback from industry professionals has been extremely positive. Our product offering is enhanced further by the current economic landscape.The Data Analyst Role:We’re looking for a hands-on data pro who’s far more than a number cruncher. This is an Operational All-Rounder role for someone with the analytical rigor of a Data Analyst and the drive to work at the sharp end of the business - supporting sales, enabling customers, and getting things live.You’ll sit at the crossroads of Operations, Sales Support, and Data. Beyond building reports, you’ll be client-facing (supporting trials and onboarding), owning operational execution, and acting as the analytical engine behind our sales team.What You’ll Own:Your role will be split roughly 50/50 between Sales & Marketing support and Operations & Data.Data, Insights & Sales Enablement:• Own the Data Function: Build sharp, decision-ready reports on business performance and customer activity. • Power the Sales Team: Be the analytical engine behind sales - prepping data, cleaning lead lists, and turning prospect data into clear, actionable insights (no meeting ownership required). • Commission & Billing Accuracy: Use transaction data to produce precise, reliable commission and billing reports. • Smarter Processes: Automate manual reporting and clean messy data to make everything faster, cleaner, and more scalable.Operations & Customer Success:• Get Customers Live: Roll up your sleeves to onboard new customers and ensure everything is set up correctly from day one. • Run Trials & Training: Lead product trials and client training, confidently guiding customers through their own data. • Improve Customer Data: Identify and fix poor-quality data that’s holding customers back. • Spot Risk & Opportunity Early: Monitor usage data to identify thriving customers and those needing support, proactively flagging insights to account teams.What You Bring:This role demands serious technical horsepower. You must think in data logic, automation, and structure - not just reports.Must-Have Technical Skills:• Advanced Excel Power User. You go far beyond Index/Match and Pivot Tables. Macros/VBA are required. • Data Cleaning & StructuringWhat Makes You Stand Out:• BI & Dashboards - Experience building dashboards in Tableau, Looker, or similar tools. • Python for Data - Ability to analyse data using Python puts you firmly in top-tier territory.The Right Profile:• Mid-to-Senior Operator • Client-Facing Confidence • Execution-DrivenThis is a rare opportunity to join a fast-growing, award-winning FinTech at a pivotal stage - post-MVP, scaling with enterprise clients, and building the foundations for global growth.If you’re execution-driven, technically sharp, confident with customers, and excited by a role that blends data, operations, and commercial impact, we’d love to hear from you.Your next move could take you from Data Analyst to Head of Customer Success in a business that genuinely values trust, flexibility, and personal growth.Application notice We take your privacy seriously. When you apply, we shall process your details and pass your application to our client for review for this vacancy only. As you might expect we may contact you by email, text or telephone. Your data is processed on the basis of our legitimate interests in fulfilling the recruitment process. Please refer to our Data Privacy Policy & Notice on our website for further details.If you have any pre-application questions please contact us first quoting the job title & ref. Good luck, Team RR.
Snowflake Data Engineer
Tenth Revolution Group
London
Hybrid
Senior
£85,000 - £100,000
RECENTLY POSTED
snowflake
processing-js
aws
git
kafka
python
+4
Senior Snowflake Data Engineer - Hybrid - £85k-£100k About the Role I am looking for an experienced Senior Snowflake Data Engineer to join a dynamic team working on cutting-edge data solutions. This is an exciting opportunity to design, build, and optimise high-performance data pipelines using Snowflake, dbt, and modern engineering practices. If you are passionate about data engineering, test-driven development, and cloud technologies, we’d love to hear from you. Key Responsibilities Design, develop, and optimise scalable data pipelines in Snowflake. Build and maintain dbt models with robust testing and documentation. Apply test-driven development principles for data quality and schema validation. Optimise pipelines to reduce processing time and compute costs. Develop modular, reusable transformations using SQL and Python. Implement CI/CD pipelines and manage deployments via Git. Automate workflows using orchestration tools such as Airflow or dbt Cloud. Configure and optimise Snowflake warehouses for performance and cost efficiency. Required Skills & Experience 7+ years in data engineering roles. 3+ years hands-on experience with Snowflake. 2+ years production experience with DBT (mandatory). Advanced SQL and strong Python programming skills. Experience with Git, CI/CD, and DevOps practices. Familiarity with ETL/ELT tools and cloud platforms (AWS, Azure). Knowledge of Snowflake features such as Snowpipe, streams, tasks, and query optimisation. Preferred Qualifications Snowflake certifications (SnowPro Core or Advanced). Experience with DBT Cloud and custom macros. Exposure to real-time streaming (Kafka, Kinesis). Familiarity with data observability tools and BI integrations (Tableau, Power BI). On offer Opportunity to work with modern data technologies and large-scale architectures. Professional development and certification support. Collaborative, engineering-focused culture. Competitive salary and benefits package. Interested? Apply now with your CV highlighting your Snowflake, DBT and DevOps experience
Customer Insights Manager, Product Management
Mastercard
Twickenham
Remote or hybrid
Mid - Senior
Private salary
RECENTLY POSTED
sql
tableau
Our PurposeMastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential.Title and SummaryCustomer Insights Manager, Product ManagementOur Purpose:Mastercard is a global technology company in the payments industry. Our mission is to power an inclusive, digital economy by making transactions safe, simple, smart, and accessible. Through secure data, trusted networks, and strategic partnerships, we enable individuals, financial institutions, governments, and businesses to realize their full potential.Mastercard Prepaid Management Services (MPMS) delivers end-to-end prepaid card solutions across multi-currency travel money solution, corporate per diem, expenses, compensation solutions, Gift cards segments. MPMS operates a scalable, modular platform that supports a global portfolio of prepaid programs, combining innovation with operational excellence.We are looking for a Product & Customer Insights Manager to drive our product management function towards a more data-oriented direction. The ideal candidate is detail-oriented, highly motivated, analytical, and is comfortable around data-intensive projects.Key Responsibilities:In this position, you will:• Develop product KPIs & key metrics across all MPMS verticals i.e Consumer Travel, Corporate per diem, expenses, Gift solutions. • Responsible for developing data-driven innovative scalable analytical solutions and identifying opportunities to support business and client needs in a quantitative manner and facilitate informed recommendations / decisions. • Execute deep-dive analyses on trends, customer behavior, and performance metrics to support strategic decisions and portfolio management. • Build and manage dashboards to track key product and business KPIs. • Partner with global and regional teams to ensure consistency across data sources. • Maintain and enhance internal analytics tools and dashboards (e.g. SQL, Oracle intelligence, Adobe analytics, Appstores analytics,) to ensure data integrity, usability, and adoption across teams. • Create repeatable processes to support development of modelling and reporting • Activities include developing and creating predictive models, behavioral segmentation frameworks, profitability analyses, ad hoc reporting, and data visualizations. • Collect feedback on ways we can improve the analytical framework and objective measurement strategies for marketing products & services. • Scale the adoption of the measurement tools and seek opportunities of improvement in the process. • Build processes to scale volume of measurement execution for marketing engagements via standardized strategies & models, building dashboards, etc. • Partner with Technical Program Management, & Product management function to add ideas into AHA and own end to end delivery through product development & management. • Partner with Technical Program Management, Solution architecture, System Analysts, Engineering, to build new capabilities and dashboards. • Partner with Finance, Treasury, Marketing and Technical Teams to align data definitions, improve analytical infrastructure, and strengthen the product’s measurement framework. • Partner with Privacy teams to ensure data uses align with Mastercard policies and principles for Data Responsibility. • Serves as a mentor for junior-level colleagues, and develops talent via ongoing training, peer review etc.All About You:• Advanced experience in data management, data mining, data analytics, data reporting, data product development and quantitative analysis. • Advanced SQL skills, ability to write optimized queries for large data sets. • Data visualization tools (Tableau, Domo, and/or Power BI/similar tools) experience is a plus. • Experience with data validation, quality control and cleansing processes to new and existing data sources. • Track record in cross-team team management, data analysis, & data strategy. • Excellent English, quantitative, technical, and communication (oral/written) skills. • Ownership of end-to-end Project Delivery/Risk Mitigation. • Able to prioritize and perform multiple tasks simultaneously. • Able to work across varying time zone. • Self-motivated, operates with a sense of urgency. • Strong Project Management skills. • Excellent influencing skills – proven track record of driving adoption of data-driven recommendations and articulating technical outputs to non-technical audiences. • Experienced in Excel or other data analysis software – demonstrated track record of analysis experience and quantitative insights. • Experienced in Power point presentation tool – comfortable building insights content and presentation stories. • Curious and self-motivated; acts with a sense of urgency and thrives in a fast-paced environment. • Global mindset – ability to be an effective & empathetic partner across regions/cultures.Corporate Security Responsibility
Abide by Mastercard’s security policies and practices;
Ensure the confidentiality and integrity of the information being accessed;
Report any suspected information security violation or breach, and
Complete all periodic mandatory security trainings in accordance with Mastercard’s guidelines.
GCP Data Engineer
Lime Street Recruitment Limited
City of London
Remote or hybrid
Mid - Senior
Private salary
RECENTLY POSTED
processing-js
tableau
In the role you will be designing and developing complex data processing modules and reporting using Big Query and Tableau. In addition, you will also work closely with the Infrastructure/Platform Team who are responsible for architecting, and operating the core of the client’s Data Analytics platform.You will:Work with both the business teams data scientists and engineers to design, build, optimise and maintain production grade data pipelines and reporting from an internal Data warehouse solution, based on GCP/Big QueryWork with finance, actuaries, data scientists and engineers to understand how the client can make best use of new internal and external data sourcesWork with the client’s delivery partners at to ensure robustness of Design and engineering of the data model/ MI and reporting which can support their ambitions for growth and scaleBAU ownership of data models, reporting and integrations/pipelinesCreate frameworks, infrastructure and systems to manage and govern data assetsProduce detailed documentation to allow ongoing BAU support and maintenance of data structures, schema, reporting etc.Work with the broader Engineering community to develop the client’s data and MLOps capability infrastructureEnsure data quality, governance, and compliance with internal and external standards.Monitor and troubleshoot data pipeline issues, ensuring reliability and accuracy.TPBN1_UKTJ
Senior Technical Analyst, Marketing & Reader Revenue
GUARDIAN NEWS AND MEDIA
London
Hybrid
Senior
Private salary
RECENTLY POSTED
r
python
pandas
sql
tableau
Join our team at the Guardian and be a part of a diverse and inclusive global organisation that delivers fearless, investigative journalism, and holds power to account. Our team of award-winning journalists, cutting-edge commercial professionals, and industry-leading digital experts are committed to making a difference and represent a wide range of backgrounds and perspectives. We offer a challenging and exciting environment for career development, with a focus on training, growth and fostering an inclusive culture.We are now looking for a Senior Technical Analyst to join our Marketing & Reader Revenue (MRR) team. At the Guardian, analytics plays an important role in supporting strategic decisions through robust, high-quality analysis. The Senior Technical Analyst will be embedded within the department and focused on delivering practical, data-driven insights aligned to the Guardian’s priorities. The MRR team supports revenue and subscriptions growth through customer behaviour and marketing performance analysis.The team’s primary objective is to enable MRR and the associated Product and Engineering teams to be audience centric, data driven, and to deliver meaningful, actionable insights in response to long term trends. You’ll support subscription and revenue growth by analysing marketing performance, customer behaviour and retention strategies.About the Role
Develop and enhance analytics workflows and reporting processes that support day-to-day performance tracking, using tools such as SQL, Python, and Tableau to streamline data access and insight delivery.
Develop, refine, and own critical KPIs, with a particular focus on Lifetime Value (LTV), retention, churn, conversion, and acquisition efficiency—ensuring these are consistently measured and aligned with strategic goals.
Independently scope and deliver analytical projects from end to end: defining the problem, selecting appropriate methods, conducting in-depth analysis, and communicating results that support data-driven decision-making.
Translate complex datasets into clear, actionable insights, using tools like Tableau and strong written communication to create structured outputs that are easy to interpret and tailored to diverse audiences.
Ensure data quality and reporting accuracy across all BAU and project-based outputs through robust testing, documentation, and peer review processes.
Act as a trusted partner to stakeholders across MRR, advising on data best practices and how to effectively use analytics to drive decisions.
Build subject matter expertise in your focus area, such as content performance, advertising inventory, or reader behaviour—and share insights to elevate team and organisational understanding.
Foster strong cross-functional relationships with Product, Data Engineering, UX Research, and other teams to align analytics work with wider business objectives and improve data workflows.
Contribute to a high-performing, collaborative analytics culture, participating in peer reviews, sharing best practices, and supporting team-wide improvements in standards, documentation, and tooling.
About You
Demonstrated experience in data analytics including scoping, delivering, and communicating analytics projects that support department goals.
Strong experience in SQL and practical experience in Python (or R), including packages such as pandas for analysis.
Writes clean, well-documented code and follows good documentation/versioning practices.
Strong expertise in KPI development—particularly Lifetime Value (LTV), retention metrics, acquisition efficiency, and conversion tracking.
Applied knowledge of experimental testing (A/B and multivariate)
Skilled in data visualisation and dashboard creation (e.g. Tableau), communicates findings clearly and concisely
Open, inclusive team contributor—willing to share feedback, mentor junior team members, and continuously learn from others as well as keeping collaborators and managers informed of progress, blockers, and results throughout project delivery.
Comfortable with ambiguity and structuring analysis from first principles.
We actively encourage applications from candidates who are Black, Asian or minority-ethnic (BAME), or from other groups traditionally underrepresented in the UK media.We operate in a hybrid environment working 3 days a week from our offices in Kings Cross and 2 days a week remotely.We value and respect all differences (seen and unseen) in all people. We aspire to have inclusive working experiences and an environment that reflects the audience we serve, where our people have equal access to career development opportunities, their voices are heard and can contribute to our future. We actively encourage applications from people of all backgrounds. Many of our staff work flexibly and we will consider all requests for flexible working arrangements.How to ApplyTo apply, please upload your latest CV and a cover letter which outlines why you’d love to take on this role, and why you’re a great match for what we’re looking for.We appreciate the time taken to prepare each application we receive. We do not use AI-assisted technology to review applications; every application is reviewed by a member of our recruitment team.The closing date for applications is Friday 23rd January 2026.All roles at the Guardian are open for everybody to apply. It is important to us that you feel supported and comfortable throughout your recruitment process, in order to perform your best. Please let us know if there are any changes we could make to help your application, this includes providing documents in accessible formats or personalising the process to better support your needs. Please contact Anna Vipers on anna.vipers@theguardian.com to discuss further so we can work with you to support you through your application.Benefits at the GuardianYou’ll have 30 days of annual leave per year (plus bank holidays) with the option to purchase an additional 5 days. Our pension scheme is generous; if you contribute 5% then we will contribute 8-12% (depending on your age). We believe in giving back, which is why employees are given 2 volunteering days annually and the option of payroll giving. Season ticket loans are also available.You are entitled to private healthcare, life cover, income protection, and eye tests. You can also opt in to dental insurance.We have enhanced maternity, paternity, adoption and shared parental leave policies in place. We also support our employees by offering an IVF, menopause, baby loss, and trans equality policy.Culture and WellbeingWe want everyone to feel like they belong at the Guardian and we champion diversity of thought. Our various employee forums provide a platform to use their voice to foster an inclusive workplace. We became the first major media organisation to achieve B Corp status.We offer tools to help you prioritise your wellbeing including access to our employee benefits platform which provides tailored support for health and wellbeing. In addition, we also offer free yoga and pilates classes. These run alongside our corporate gym membership and cycle to work scheme.Our canteen has views overlooking the Regents Canal and caters for breakfast, lunch and dinner.Learning and DevelopmentWe encourage personal and professional growth. Employees have access to a broad range of tools and solutions, and we are happy to support the pursuit of professional qualifications through vocational courses and apprenticeships.
Lead Data Engineer
ARC IT Recruitment
London
Hybrid
Senior
£100,000
RECENTLY POSTED
processing-js
aws
git
kafka
python
bash
+3
Lead Data Engineer required to join my Client’s Technology Team and contribute to their Group Architecture Board in building the next generation of their eCommerce data platform. You will play a pivotal role in designing and maintaining a modern, cloud-based data architecture. Working closely with product, technology, and wider business stakeholders, you will be crucial in developing scalable data pipelines, improving reliability, and enabling smarter, data-driven insights and decisions.You will have a direct voice in how we design, build, and evolve our platform and the technologies we adopt!
We are looking for a pragmatic, innovative, and self-motivated problem solver who delivers results through collaboration and technical excellence.
Data Architecture Specialist: Design and develop robust data models, ETL/ELT processes, and data marts that support complex analytics and operational use cases.
Pipeline Optimization: Maintain and optimize data pipelines and warehouse environments to ensure top-tier performance, reliability, and scalability.
Cross-Functional Collaboration: Effectively collaborate with cross-functional teams to translate business and technical requirements into high-quality, robust data solutions.
Data Quality Ownership: Perform deep data analysis to validate assumptions, identify issues, and own data quality, consistency, and accuracy end-to-end.
Best Practices Champion: Confidently promote best practices for data engineering, governance, and platform reliability within a modern cloud-based architecture.
You will need to have skills and experience in the following:
Cloud Data Architecture: Strong knowledge of modern, cloud-based data architecture and tooling (eg, S3, Glue, Redshift, Athena, Lake Formation, Iceberg/Delta).
AWS Platform Build: Demonstrable experience designing and building modern data platforms in AWS.
ETL/Orchestration Expertise: Expertise in ETL/ELT design and data orchestration, specifically with Apache Airflow.
SQL Mastery: Strong SQL skills with significant experience in query tuning and performance optimisation.
Programming Proficiency: Proficiency in Python and Bash (for data processing, Scripting, and automation).
Data Streaming: Familiarity with streaming data technologies (eg, Kinesis, Kafka, or similar).
DevOps Principles: Experience with version control (git) and CI/CD for data pipelines.
BI/Visualisation: Familiarity with BI and visualisation tools such as Tableau, QuickSight, or similar.
Data Governance Tools: Experience with data cataloguing, metadata management, and data lineage tools.
Contextual Understanding: Passionate about data quality, governance, and understanding the business context behind the data.
This role is London-based and operates on a hybrid working model, requiring 2 to 3 days per week in the office. The compensation package offers a salary up to £100k plus a performance bonus and a comprehensive benefits package.London (Hybrid)To £100k plus bonus
Analytics Engineer (Telecoms) x2
Hays Technology
London
Remote or hybrid
Mid - Senior
£544,000/day - £725,544/day
RECENTLY POSTED
processing-js
terraform
sql
microsoft-azure
tableau
dbt
Your new company Working for a renowned British telecoms organisationYour new role We are seeking 2x Analytics Engineer to join our team at a leading telecoms organisation. This role focuses on transforming raw data into clean, analytics-ready datasets and bridging the gap between engineering and analytics by dealing with data transformations end processes feeding end user outputs. You will work on data transformation processes feeding end-user outputs, optimisation, ensuring accuracy, scalability, and improving performance and resource usage for large-scale data processing.What you’ll need to succeed
Experience working as a Analytics Engineer/ or similar role that lands between a hands on Data Analyst/ Engineer.
Proven experience in complex data process migration projects.
Hands-on experience working with large-scale data environments.
Spark optimization experience
Strong experience with Microsoft Azure cloud-based platform.
Expertise in setting up and managing data pipelines.
SQL and data modeling expertise.
Familiarity with dbt or similar data transformation tools.
Knowledge of orchestration and optimization techniques for data workflows.
Experience with Infrastructure as Code (Terraform) for cloud deployments.
Familiarity with Tableau, including setting up and maintaining Tableau Cloud solutions.
Demonstrated ability in developing, testing, and deploying complex data models and methodologies.
What you’ll get in return Flexible working options available.What you need to do now If you’re interested in this role, click ‘apply now’ to forward an up-to-date copy of your CV, or call us now.Hays Specialist Recruitment Limited acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job you accept the T&C’s, Privacy Policy and Disclaimers which can be found at (url removed)
Data Engineer (Snowflake and Matillion) - £425PD - Remote
Tenth Revolution Group
City of London
Fully remote
Mid - Senior
£350/day - £425/day
RECENTLY POSTED
snowflake
fabric
aws
git
python
airflow
+4
Data Engineer ( Snowflake and Matillion) - £425PD - Remote About the Role We are looking for a Data Engineer with strong experience in Snowflake and Matillion to design, build, and maintain scalable data pipelines and analytics-ready data models. You’ll work closely with analytics, product, and business teams to turn raw data into reliable, high-quality datasets that power reporting, dashboards, and advanced analytics. This role is ideal for someone who enjoys working in a modern cloud data stack and takes pride in building clean, performant, and well-documented data solutions. Key Responsibilities Design, build, and maintain ELT pipelines using Matillion to ingest data from multiple sources into Snowflake Develop and optimize data models in Snowflake for analytics and reporting use cases Ensure data quality, reliability, and performance across pipelines and warehouse workloads Collaborate with analytics engineers, data analysts, and stakeholders to understand data requirements Implement best practices for Snowflake (clustering, scaling, cost optimization, security) Monitor and troubleshoot data pipelines, resolving failures and performance issues Manage and evolve data transformations using SQL and version control Document data pipelines, models, and business logic for long-term maintainability Support CI/CD processes and promote automation across the data platform Required Qualifications 3+ years of experience as a Data Engineer or in a similar role Strong hands-on experience with Snowflake (data modeling, performance tuning, security) Proven experience building pipelines with Matillion Advanced SQL skills and solid understanding of ELT best practices Experience working with cloud data architectures (AWS, Azure, or GCP) Familiarity with version control systems (e.g., Git) Strong problem-solving skills and attention to detail Ability to communicate clearly with technical and non-technical stakeholders Nice to Have Experience with dbt or other transformation frameworks Exposure to data orchestration tools (Airflow, etc.) Understanding of data governance, lineage, and metadata management Experience supporting BI tools (Power BI, Tableau, Looker, etc.) Python experience for data tooling or automation Experience working in an agile or product-driven environment To apply for this role please submit your CV or contact Dillon Blackburn on (phone number removed) or at (url removed). Tenth Revolution Group are the go-to recruiter for Data & AI roles in the UK offering more opportunities across the country than any other recruitment agency. We’re the proud sponsor and supporter of SQLBits, Power Platform World Tour, and the London Fabric User Group. We are the global leaders in Data & AI recruitment
Lead Analyst, Advertising
GUARDIAN NEWS AND MEDIA
London
Hybrid
Senior
Private salary
RECENTLY POSTED
python
sql
tableau
Join our team at the Guardian and be a part of a diverse and inclusive global organisation that delivers fearless, investigative journalism, and holds power to account. Our team of award-winning journalists, cutting-edge commercial professionals, and industry-leading digital experts are committed to making a difference and represent a wide range of backgrounds and perspectives. We offer a challenging and exciting environment for career development, with a focus on training, growth and fostering an inclusive culture.We are now looking for a Lead Analyst to join our Advertising analytics team. Reporting to the Senior Analytics Manager, the Lead Analyst works with the data & analytics team within GNM’s advertising department to support business objectives and inform strategic decisions and planning.The Lead Analyst is a key role, driving analytical best practice by providing leadership, innovation and delivery alongside advertising subject matter expertise.About the RolePlay a significant role in driving analytical best practice at the Guardian. This will include leading innovation in an area of Analytics practice on a project basis. Design and proactively propose data analysis to answer complex business questions. Take responsibility for the delivery of medium sized analytics initiatives and projects. Deliver data driven insight with a persuasive narrative, and coach others in doing the same. Support the Analytics management team in inspiring analysts and support the development of the wider team’s functional skills. Encourage teamwork and drive a culture of collaboration across the Guardian’s data teams. Work as an analytics consultant to a variety of stakeholders, building rapport and developing understanding of their business areas. Play an influential role for the team, contributing to most data decisions and carrying significant weight in any discussions, and a go-to person for the teamAbout YouExperience in a hands-on data analysis role manipulating complex data sources at scale, ideally supporting advertising or marketing teams. Deep experience interpreting data and using varied analytical methodologies for solving complex business challenges with data. Knowledge of a wide variety of analytical techniques including construction of statistical tests. Advanced SQL and the ability to efficiently analyse large amounts of data, Python would also be an advantage Highly skilled in Data Visualisation techniques and design (e.g. using Tableau, Power BI or similar).We actively encourage applications from candidates who are Black, Asian or minority-ethnic (BAME), or from other groups traditionally underrepresented in the UK media.We operate in a hybrid environment working 3 days a week from our offices in Kings Cross and 2 days a week remotely.We value and respect all differences (seen and unseen) in all people. We aspire to have inclusive working experiences and an environment that reflects the audience we serve, where our people have equal access to career development opportunities, their voices are heard and can contribute to our future. We actively encourage applications from people of all backgrounds. Many of our staff work flexibly and we will consider all requests for flexible working arrangements.How to ApplyTo apply, please upload your latest CV and a cover letter which outlines why you’d love to take on this role, and why you’re a great match for what we’re looking for.We appreciate the time taken to prepare each application we receive. We do not use AI-assisted technology to review applications; every application is reviewed by a member of our recruitment team.The closing date for applications is Thursday 15th January 2026.All roles at the Guardian are open for everybody to apply. It is important to us that you feel supported and comfortable throughout your recruitment process, in order to perform your best. Please let us know if there are any changes we could make to help your application, this includes providing documents in accessible formats or personalising the process to better support your needs. Please contact Anna Vipers on anna.vipers@theguardian.com to discuss further so we can work with you to support you through your application.Benefits at the GuardianYou’ll have 30 days of annual leave per year (plus bank holidays) with the option to purchase an additional 5 days. Our pension scheme is generous; if you contribute 5% then we will contribute 8-12% (depending on your age). We believe in giving back, which is why employees are given 2 volunteering days annually and the option of payroll giving. Season ticket loans are also available.You are entitled to private healthcare, life cover, income protection, and eye tests. You can also opt in to dental insurance.We have enhanced maternity, paternity, adoption and shared parental leave policies in place. We also support our employees by offering an IVF, menopause, baby loss, and trans equality policy.Culture and WellbeingWe want everyone to feel like they belong at the Guardian and we champion diversity of thought. Our various employee forums provide a platform to use their voice to foster an inclusive workplace. We became the first major media organisation to achieve B Corp status.We offer tools to help you prioritise your wellbeing including access to our employee benefits platform which provides tailored support for health and wellbeing. In addition, we also offer free yoga and pilates classes. These run alongside our corporate gym membership and cycle to work scheme.Our canteen has views overlooking the Regents Canal and caters for breakfast, lunch and dinner.Learning and DevelopmentWe encourage personal and professional growth. Employees have access to a broad range of tools and solutions, and we are happy to support the pursuit of professional qualifications through vocational courses and apprenticeships.
Commercial Data Analyst/Scientist
HAYS
London
Hybrid
Mid - Senior
£45,000 - £50,000
python
powerbi
sql
salesforce
tableau
A great opportunity for a Data Analyst/Scientist to join a well-known global media business in LondonYour new company You’ll be joining a global enterprise that operates across publishing, entertainment, experiential marketing, and strategic brand collaborations. Its commercial model includes intellectual property licencing, creative consultancy, and bespoke campaigns designed to captivate audiences and elevate brand presence.Your new role This permanent role focusses on translating data into actionable business strategies, working closely with both technical and commercial teams. You will collate and analyse data and make recommendations across the business to enable strong business impact. You will be a key player in the global business planning process. Your responsibilities will include (but not be limited to):
Champion smarter decisions by building seamless data systems that turn numbers into clear business stories.
Decode trends across products, pricing, and markets to fuel strategic conversations.
Keep the pulse of the business alive with evolving dashboards and insights that matter.
Collaborate across teams to reshape how data flows and informs action.
Explore predictive models and machine learning to unlock what’s next.
Deliver sharp insights that help teams make smarter, customer-first decisions.
Harness a powerful tech stack - from Salesforce Media Cloud to NetSuite and beyond - to decode data and drive clarity.
Elevate reporting with stakeholders, turning complexity into crisp, actionable views.
Spot gaps, surface opportunities, and help business units stay ahead of the curve.
Dive into forecasting, financial modelling, and storytelling through data.
Collaborate globally, connecting dots across departments to fuel long-term strategy.
Lead the shift to a new BI system (Domo), transforming how insights are shared and understood.
Build intuitive dashboards and empower teams with training that makes data accessible.
Keep reporting fresh, relevant, and ready for what’s next.
What you’ll need to succeed
Commercial experience with the ability to translate technical solutions into commercial actions
Understanding of data structures and relational data, with a core understanding of how data is stored and structured, and how this can be analysed and manipulated
Experience of creating reporting structures from scratch in a BI tool, i.e. PowerBi, Tableau, Domo etc.
Experience working in a cross-functional capacity, partnering with key business stakeholders (commercial business partners and business leaders), translating data in a way they can understand, with actionable insights. Providing ongoing support for their requirements.
Experience working in the Retail/Ecommerce sector is advantageous (not essential)
You’ll be a curious self-starter who is excited at the prospect of undertaking a ‘greenfield’ job opportunity
Excellent communication skills and the ability to communicate your role to analytical business partners
Ability to make practical connections from data to business results
Financial/data modelling experience
Confident working with data using SQL - building queries that unlock insights.
Skilled in using Python to explore, shape, and make sense of complex datasets.
You will bring financial expertise shaped by global experience in fast-paced sectors like tech, retail, digital, or FMCG.
A financial analysis background combined with a finance-related degree or part qualification (i.e. actively studying ACCA/CIMA).
What you’ll get in return- Flexible working options are available with a hybrid working pattern of 1 day in the office and 4 from home each week following successful completion of training and/or probationary period.
25 days annual leave with the option to roll over unused days, plus bank holidays. Additionally, the company shuts down on Christmas Eve and New Year’s Eve.
BUPA healthcare
Pension (employee 3%, employer 5%)
Life assurance scheme 4x salary
Travel insurance
Eye tests / contribution to cost of glasses required for computer use
Subsidised gym membership
Learning & development opportunities (please note that this does not include study support)
Two volunteering days per year
Employee assistance programme
Company/team socials and events
What you need to do now If you’re interested in this role, click ‘apply now’ to forward an up-to-date copy of your CV, or call us now. If this job isn’t quite right for you, but you are looking for a new position, please contact us for a confidential discussion about your career. #
Senior Data Engineer
Hays Technology
City of London
In office
Senior
£500/day - £544/day
python
sql
tableau
Your new company A leading Telecoms company with an office based in London. Your new role As a Senior Data Engineer, you will play a key role in migrating complex data processes based on Mobile Network Data onto a Databricks environment linked to Tableau delivery mechanisms. What you need to succeed Previous expereince working as a Data Engineer for a large enterprise Experience with Databricks Strong experience in writing, deploying, and optimising code (Python, SQL, or equivalent). Experience working with Microsoft Azure’s cloud-based platform. Deep understanding of databases and ability to write efficient analytical queries. Experience in setting up / maintaining Tableau Cloud solutionsWhat you’ll get in return An exciting opportunity to join an international organisation working with a major Telecoms organisation. Furthermore, a competitive day rate for this role will be offered in addition to your own dedicated Hays Consultant to guide you through every step of the application process. What you need to do now If you’re interested in this role, click ‘apply now’ to forward an up-to-date copy of your CV, or call us now. If this job isn’t quite right for you, but you are looking for a new position, please contact us for a confidential discussion about your career. Hays Specialist Recruitment Limited acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job you accept the T&C’s, Privacy Policy and Disclaimers which can be found at (url removed)
AVP Senior Auditor Data Analytics
HAYS
London
Hybrid
Senior
£90,000
r
python
talend
sql
tableau
Data Analytics Internal Audit role within an exciting banking group looking to grow significantlyData Analytics AVP - Audit Posting End Date Job DetailsWho we are United by a sense of purpose towards our customers – to be a trusted partner for the long-term – and our universal banking platform in EMEA, we have an international growth agenda and award-winning products, meaning we provide exciting opportunities to work on a diverse range of projects and initiatives. We deliver a full suite of corporate finance products and solutions to our customers as well as investment banking and advisory services, and a range of innovative solutions in global capital markets. Read on to find out how you could enhance your skills and gain valuable experience by joining us to support our clients’ transition to a sustainable future. Role Summary We’re looking for an AVP Data Analytics within the Internal Audit Department to join our team. This London-based role sits within the Audit Department Internal Audit (ADIA) and is part of a four-member Data Analytics team. The team reports to the Audit COO. It supports audit and credit review assignments across EMEA by leveraging data analytics and maintaining Computer Aided Auditing Tools (CAATs) for continuous auditing and monitoring. The role requires: • Strong communication and interpersonal skills, including presenting insights to senior stakeholders. • Proficiency in data analytics tools (Python, R, ACL, SAS) and visualisation platforms (Tableau, Power BI). • Experience with databases (Oracle, SQL Server) and ETL tools (Alteryx, Talend, Informatica). • Ability to work independently and collaboratively across teams. • Commercial awareness and understanding of business processes in Corporate Banking, Capital Markets, and Credit. • Knowledge and understanding of using AI within Internal Audit would be advantageous. • Experience of being within the data analytics team of an internal audit function is desirable. Business Area Audit Department Internal Audit (ADIA), part of SMBC Bank International plc, London. ADIA is an independent function reporting to the Board Audit Committee and responsible for audits and credit reviews across all EMEA legal entities and business lines. Position Description The role involves: • Collaborating with audit teams to deliver data-driven insights. • Developing dashboards, reports, and presentations for senior management. • Maintaining documentation and understanding of data structures across firm systems. • Supporting the delivery of approximately 80 internal audit reports annually. • Managing and prioritising data analytics requests and development pipelines. • Collaborating with team members and promoting adoption of analytics tools within the Audit Department. Competencies Customer Focus Driving Change Driving Results Embraces Diversity Enterprise Leadership Judgement and Decision-Making Risk Management Strategic and Visionary Trust and Integrity What we offer For all the expertise and experience you bring to help us make a difference, it’s only sustainable if we support you to build your career and be your best self, so we offer competitive company benefits, centred around promoting positive well-being and work-life balance. We also believe in fostering a diverse and inclusive work environment, where all team members’ perspectives and contributions are valued. Initiatives in place which promote a diverse and inclusive culture and healthy work-life balance include hybrid working, Sport & Social Clubs and Diversity and Inclusion networks. As an employee, you have access to a host of both useful and exciting benefit offerings. See below some of the benefits on offer to you: • Hybrid and flexible working • Competitive paid leave days • Benefits to support your physical wellbeing, including private medical insurance and life and invalidity insurance • Various policies to support your mental wellbeing, including a robust behavioural health network with counselling and coaching services • Access a wide range of learning and development opportunities and career progression opportunities • Ambitious remuneration package So, if you like a challenge and want to continuously grow and develop in a role where you will be supported along the way by a dynamic and diverse team, apply today!!4740973
Data Engineer – GCP/DSS
DCV Technologies
London
Hybrid
Mid - Senior
£65,000/day - £75,000/day
processing-js
terraform
python
kanban
bash
sql
+2
Job Title: Data Engineer – GCP/DSS Department: Enabling Functions Location: Hybrid, London Type: Both Contract (Inside IR35) & Permanent available Salary: Competitive; depends on experience and open to discussion Purpose of Job What you will be working on While our broker platform is the core technology crucial to success – this role will focus on supporting the middle/back-office operations that will lay the foundations for further and sustained success. We’re a multi-disciplined team, bringing together expertise in software and data engineering, full stack development, platform operations, algorithm research, and data science. Our squads focus on delivering high-impact solutions – we favour a highly iterative, analytical approach. You will be designing and developing complex data processing modules and reporting using Big Query and Tableau. In addition, you will also work closely with the Infrastructure/Platform Team, responsible for architecting and operating the core of the Data Analytics platform. Principle Accountabilities Work with both the business teams (finance and actuary initially), data scientists and engineers to design, build, optimise and maintain production grade data pipelines and reporting from an internal Data warehouse solution, based on GCP/Big Query. Work with finance, actuaries, data scientists and engineers to understand how we can make best use of new internal and external data sources. Work with our delivery partners at EY/IBM to ensure robustness of design and engineering of the data model/MI and reporting which can support our ambitions for growth and scale. BAU ownership of data models, reporting and integrations/pipelines. Create frameworks, infrastructure and systems to manage and govern data assets. Produce detailed documentation to allow ongoing BAU support and maintenance of data structures, schema, reporting etc. Work with the broader Engineering community to develop our data and MLOps capability infrastructure. Ensure data quality, governance, and compliance with internal and external standards. Monitor and troubleshoot data pipeline issues, ensuring reliability and accuracy Regulatory Conduct and Rules
Act with integrity
Act with due skill, care and diligence
Be open and co-operative with Lloyd’s, the FCA, the PRA, and other regulators
Pay due regard to the interests of customers and treat them fairly
Observe proper standards of market conduct Education, Qualifications, Knowledge, Skills and Experience * Experience designing data models and developing industrialised data pipelines. * Strong knowledge of database and data lake systems. * Hands-on experience in Big Query, dbt, GCP cloud storage. * Proficient in Python, SQL and Terraform. * Knowledge of Cloud SQL, Airbyte, Dagster. * Comfortable with shell scripting with Bash or similar. * Experience provisioning new infrastructure in a leading cloud provider, preferably GCP. * Proficient with Tableau Cloud for data visualization and reporting. * Experience creating DataOps pipelines. * Comfortable working in an Agile environment, actively participating in approaches such as Scrum or Kanban Desirable Skills Experience of streaming data systems and frameworks would be a plus. Experience working in regulated industry, especially financial services, would be a plus. Experience creating MLOps pipelines is a plus The applicant must also demonstrate the following skills and abilities Excellent communication skills (both oral and written). Pro-active, self-motivated and able to use own initiative. Excellent analytical and technical skills. Ability to quickly comprehend the functions and capabilities of new technologies. Ability to offer balanced opinion regarding existing and future technologies. How to Apply If you are interested in the Data Engineer – GCP/DSS position, please apply here
Page 1 of 1

Frequently asked questions

What types of Tableau jobs are available in London?
London offers a wide range of Tableau job opportunities, including roles like Tableau Developer, Data Analyst, Business Intelligence Analyst, and Data Visualization Specialist across various industries.
What skills are typically required for Tableau jobs in London?
Common skills for Tableau roles include proficiency in Tableau Desktop and Server, strong SQL knowledge, data analysis, understanding of business intelligence concepts, and the ability to create interactive dashboards.
Are there opportunities for both junior and senior Tableau professionals in London?
Yes, the London job market has opportunities for all experience levels, from entry-level Tableau Analyst positions to senior Tableau Consultants and BI Managers.
How can I apply for Tableau jobs listed on the Haystack job board?
Simply create an account on Haystack, upload your CV, and apply directly to the Tableau job listings that interest you. You can also set up job alerts to get notified about new Tableau opportunities in London.
What is the typical salary range for Tableau professionals in London?
Salaries vary based on experience and role, but typically range from £40,000 for junior positions to over £80,000 for senior Tableau experts in London.