- Company: Get A Job.ai
- Location: London
- Salary: Pay not listed
Website Get A Job.ai
Represented by Get A Job.ai
Responsibilities
We are representing a global marketing and creative services organisation seeking a skilled Data Analyst to join their onsite team in London. This role is central to delivering insight that drives improvements across the full commercial ecosystem—from customer experience and retailer investment effectiveness to marketing performance and post-purchase journeys.
A core part of your remit will be designing, building, and managing a marketing and sales performance dashboard underpinned by Google BigQuery and delivered in Looker Studio. This dashboard will serve as a critical decision-making tool, surfacing insight such as campaign uplift, halo effects, retailer investment impact, and share performance across products and markets.
Marketing & Sales Performance Analytics
- Design, build, and maintain a marketing and sales performance dashboard in Looker Studio, combining sell-out sales data, market volume and share data, and campaign activity logs
- Define the underlying data model, transform source files, and design the reporting layer to support consistent, scalable KPI delivery
- Identify and quantify the impact of retailer investment, including uplift in sales and market share during campaign periods
- Analyse correlations between campaign activity and commercial performance to determine which marketing levers are most effective
- Measure and report on halo effects across products and retailers resulting from promotional and campaign activity
- Define and calculate key performance metrics including uplift, baseline, market share, activity intensity, and halo effects
- Work with syndicated market data sources to enrich performance analysis with market volume and share context
Customer Experience & Digital Analytics
- Conduct analysis of the current customer experience, including user behaviour, content and campaign performance, and conversion pathways
- Benchmark key customer journeys against competitor websites to identify gaps and opportunities
- Provide regular insight into paid promotions, post-purchase experience, and customer satisfaction trends
- Support planning, optimisation, and operational management of post-purchase and onboarding experience
- Analyse content utilisation, engagement, and drop-off points, and recommend enhancements
- Collaborate with HQ and local teams on onboarding content production and implementation
- Support feature management including evaluation, testing performance, and monitoring adoption
Reporting, Dashboards & Stakeholder Insight
- Build and maintain dashboards, reports, and ad hoc analyses across customer experience, onboarding, e-commerce, retail performance, and promotion activity
- Translate data into clear insights that guide decision-making within marketing, CX, digital, and commercial teams
- Present findings clearly to stakeholders at all levels, ensuring insight is embedded in planning and operational processes
- Use platforms like GWI to build digital personas and audience profiles that support broader marketing planning
What We're Looking For
Essential Skills & Experience
- Proven experience as a data or insight analyst within digital, e-commerce, retail, marketing, or agency environments
- Strong proficiency in Google BigQuery and advanced SQL, including data modelling and reporting layer design
- Hands-on experience building dashboards in Looker Studio, with a clear understanding of how to structure underlying data models for robust, scalable dashboard performance
- Demonstrable experience combining sell-out sales, market share, and campaign activity datasets to generate commercial insight
- Ability to define and calculate metrics including uplift, baseline, market share, activity intensity, and halo effects
- Strong marketing analytics capability, including campaign effectiveness measurement across paid and promotional channels
- Good understanding of digital customer journeys, content performance metrics, and e-commerce KPIs
- Experience with analytics platforms such as Google Analytics GA4, Adobe Analytics, or similar
- Excellent communication and storytelling ability—capable of translating complex business questions into dashboard logic and presenting findings clearly to non-technical audiences
- Experience working with multi-market teams and managing stakeholder expectations across business functions
- A passion for data-driven decision-making and an interest in how AI can enhance analytics workflows
Preferred Skills
- Proficiency in Python (pandas) for data transformation, automation, and workflow scripting
- Broader experience with Google Cloud Platform (GCP), including automating data ingestion and transformation workflows
- Experience working in retail, e-commerce, or retailer media environments
- Familiarity with GfK or other syndicated market data sources
- Experience with additional BI tools such as Tableau or Power BI
How We Work With You
Our talent team at Get A Job.ai partners with leading organisations to connect exceptional candidates with career-defining opportunities. When you apply through our platform, a dedicated recruiter will review your profile and conduct an initial screening to understand your experience and career goals.
If your background aligns with this Data Analyst role, we will submit your details to our client for consideration. Throughout the process, we'll keep you informed and provide guidance. Please note that direct contact with the client is not permitted—all communication should flow through Get A Job.ai to ensure a smooth and professional experience.
Pay
Compensation details will be discussed during the screening process based on your experience and the client's budget.
Equal Opportunity
Get A Job.ai is committed to inclusive hiring practices. We welcome applications from candidates of all backgrounds and ensure that every applicant is considered fairly without regard to race, ethnicity, religion, gender, sexual orientation, age, disability, or any other protected characteristic.
Apply with Get A Job.ai
A recruiter will review your profile and submit you to the client. Do not contact the client directly.
Apply through Get A Job.ai. A recruiter will review your profile and submit you. Do not contact the client directly.
Apply through Get A Job.ai. A recruiter will review your profile and submit you.
Explore Get A Job.ai online
Working in London, UK
Weather right now in London, UK: checking… · Local time: · Air quality: · Daylight: · UV index: · Wind: · Pollen:
London is the capital and largest city of England and the United Kingdom, with a population of 9.1 million people in 2024. Its wider metropolitan area is the largest in Western Europe, with a population of 15.4 million. London stands on the River Thames in southeast England, at the head of a 50-mile (80 km) tidal estuary down to the North Sea, and has been a major settlement for nearly 2,000 years. Its ancient core and financial centre, the City of London, was founded by the Romans as Londinium and has retained its medieval boundaries. The City of Westminster, to the west of the City of London
England is a country that is part of the United Kingdom. It is located on the island of Great Britain, of which it covers about 62%, and more than 100 smaller adjacent islands. England shares a land border with Scotland to the north and another land border with Wales to the west, and is surrounded by the North Sea to the east, the English Channel to the south, the Celtic Sea to the south-west, and
Nearby green space: 12 parks within 1.5km — closest is Whitehall Garden (364m). via OpenStreetMap
Nearest public transit: Charing Cross (station, 41m). via OpenStreetMap
- Elevation 18m (59 ft)
Source: Wikipedia (state)
About this role & career path
Traits that fit this role
- Achievement Orientation
- Intellectual Curiosity
- Cautiousness
- Integrity
- Attention to Detail
Source: O*NET Work Styles (Distinctiveness Rank).
Typical preparation needed: Job Zone 5: Extensive Preparation Needed. Most of these occupations require graduate school -- for example, a master's degree, and some require a Ph.D., M.D., or J.D. — via O*NET
Industry news
- Troutman Pepper Locke Weekly Consumer Financial Services Newsletter – September 22, 2026 - Consumer Financial Services Law Monitor
- Meta’s Muse Comes for Financial Stocks - WSJ
- OpenAI launches ChatGPT for financial services industry - Reuters
Source: O*NET (public-domain bulk data)
Salary & compensation
Workers in Business & Financial Operations occupations earn a national median of $76,859 — via US Census ACS / Data USA
Market context
- Similar listings in London 1
Job details above are provided by the employer/source. The sections on this page are compiled from public data sources with AI assistance.
Accommodations: if you need a workplace accommodation to apply for or perform this job, see ADA.gov or EEOC.gov for guidance on your rights and how to request one.
Listing facts
- Role Data Analyst
- Employer Get A Job.ai
- Location London
- Type Full Time
- Pay (from listing) Pay not listed
- Posted September 23, 2026
- Apply by October 24, 2026
- Overview Full job description on this page (800 words)
Facts above come from this job record on Get A Job.AI — not copied from third-party review sites.
Typical work in Data Analyst
Independent occupational context from O*NET (U.S. public-domain labor data). This is about the occupation, not a rewrite of this employer's posting.
- Apply mathematical or statistical techniques to address practical issues in finance, such as derivative valuation, securities trading, risk management, or financial market regulation.
- Research or develop analytical tools to address issues such as portfolio construction or optimization, performance measurement, attribution, profit and loss measurement, or pricing models.
- Interpret results of financial analysis procedures.
- Develop core analytical capabilities or model libraries, using advanced statistical, quantitative, or econometric techniques.
- Define or recommend model specifications or data collection methods.
- Produce written summary reports of financial research results.
Limited public data for this employer
We only show facts we can ground in public sources (Wikidata, O*NET, news/discussion links, or this listing). We do not invent Glassdoor-style ratings, salaries, or testimonials when data is thin. Use the listing facts, occupation context, and related openings below while we continue researching.
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Occupation family: Data Analyst
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