Data Analyst

Ballpoint; England; Hybrid; GBP 40,000 - 60,000; Full time

Job summary

A fast-growing marketing agency in the UK is looking for a Data Analyst to join their hybrid team. In this foundational role, you will manage performance data accuracy, implement tracking across platforms, and provide actionable insights to drive client growth. The ideal candidate should have 3–5 years of experience in data or analytics, proficient in GA4, SQL, and data pipelines. The role offers a competitive salary, generous holidays, and a vibrant work culture.

Benefits

Competitive salary

28 days paid holiday

£1,500 tech budget

Work from anywhere days

Regular team lunches

Qualifications

• Experience with DTC or subscription-based models.
• Strong understanding of attribution and tracking setups.
• Ability to communicate complex data insights clearly.

Responsibilities

• Own the accuracy and cleanliness of performance data.
• Implement tracking setups across multiple platforms.
• Support growth modeling and performance analysis.

Skills

GA4

SQL

Looker Studio

Data pipelines

Investigative mindset

Commercial instincts

Education

3–5 years in data, analytics, or marketing science

Tools

BigQuery

Python

Job description

Full time

Hybrid | 4 days per week in our Clerkenwell HQ

Why Ballpoint

Ballpoint is a fast-scaling, strategy led creative and marketing science agency built for consumer brands who want to grow fast and grow properly. We combine creative, data and experimentation to help cool brands kill their competition.

As a team, we’re made up of people at the top of their game, all with exceptional experience and a strong track record.

Ballpoint started because we knew first hand what ambitious brands actually need from an agency: not big promises and account handlers, but operators who treat their business like it’s their own.

We’ve been on the receiving end of all the problems. So we became the solution. Today, every Ballpoint strategist is ex-in-house senior talent. The people running client growth here are the people who used to hire agencies, not career account handlers learning on your budget.

Our clients reflect who we are: early innovators, fast growing startups, and household names pushing into their next phase of growth. Each brings a new challenge for us to break through, creatively, strategically and through marketing science.

Why you

People who thrive at Ballpoint are self motivated and take genuine ownership of their work. They’re commercially minded and confident making decisions, with a knack for solving problems quickly without losing clarity.

Whatever their discipline, they care deeply about their craft and are naturally curious. We want people who are always learning, always sharing, and always raising the bar. They’re comfortable challenging others and being challenged themselves, and they know how to inspire confidence with clients and teammates alike. If that sounds like you, you’ll fit right in!

We’re scaling quickly and we want the best people with us on the journey.

About this role

This is a foundational role within Ballpoint’s performance and marketing science function.

You’ll be the person who turns messy, inconsistent, multi-channel data into clean, reliable, decision ready insight. You will decipher data into the kind that unlocks real growth, not just vanity reporting.

You’ll build the infrastructure behind our clients’ growth programmes, meaning attribution, forecasting, experimentation, as well as the workflows that allow us to scale confidently.

We currently have a strong fractional setup in place, but we’re building towards a full time in house function. You’ll inherit solid foundations and a smooth handover, then take ownership of our data engine as we scale.

If you love investigating data, asking the right questions, and using insight to shape commercial decisions — this role is for you.

Note that this is primarily a Data Analyst role, with space to lean into light data engineering where useful.

What this role involves

You will:

Data Infrastructure & Hygiene

• own the accuracy, cleanliness and reliability of all performance data across paid social, paid search and retention
• implement and maintain tracking setups across GA4, Google Ads, Meta, Shopify and Looker Studio/BI tools
• troubleshoot data issues, attribution gaps and tracking inaccuracies quickly and decisively
• strengthen our data infrastructure and support client side integrations

Analysis, Insight & Commercial Decision Making

• build and own dashboards that help teams and clients understand what’s truly driving performance
• support growth modelling, forecasting, MMM, incrementality tests and contribution margin analysiswork cross channel to help contextualise performance across the full ecosystem

Experimentation & Measurement

• support the creation and analysis of structured experiments
• validate results, whilst ensuring statistical soundness, and turn learnings into repeatable frameworks
• help establish Ballpoint’s best practices as we scale

Collaboration & Enablement

• work directly with our fractional data analyst during the handover period
• arm the wider team with the tools, clarity and insight they need to make the best decisions
• bring a calm, methodical, commercially minded approach to the data

Skills & Experience

You should have:

• 3–5+ years experience in a data, analytics or marketing science role
• Strong experience working with GA4, Looker Studio (or Tableau/Power BI), SQL, spreadsheets and data pipelines
• Experience working with DTC or subscription-based models, including performance, retention and cohort analysis
• Practical familiarity with paid media, Shopify data and multi-channel datasets
• A deep understanding of attribution and tracking (conversion events, pixels, UTMs, server-side setups, signal loss, etc.)
• Strong commercial instincts with the ability to see beyond platform metrics to real business impact
• Investigative mindset: you’re curious, ask sharp questions and dig into root causes rather than surface patterns
• A structured approach to troubleshooting and improving data systems
• Clear communication whilst being able to translate complexity into clarity for non-technical teams

Desirable:

• Experience with BigQuery
• Python for light scripting or transformation work
• Experience linking first-party data or building small data workflows
• Familiarity with subscription lifetime value modelling

What does success look like

30 Days

• You’ll have full context on each Ballpoint client: business model, growth goals, acquisition channels and key data sources
• You’ve completed a deep audit of data flows, tracking setups, attribution models, BI dashboards and accuracy gaps
• You’ll have produced a clear list of high-impact fixes and opportunities (data hygiene, measurement clarity, forecasting gaps) with recommended next steps
• You’ll be confidently running analysis for small projects and supporting the team with insight, not guesswork

60 Days

• You’ve rolled out fixes to tracking, attribution, dashboarding and general data hygiene
• You’ve built the core frameworks for measurement clarity: KPIs, forecasting models, contribution margin views, cohort/retention analysis
• You’ll be the main source of truth for growth decisions, joining strategic conversations with clean data and clear thinking

90 Days

• Data feels “clean,” trustworthy and structured across all core clients
• Paid performance decisions are being shaped by your models, forecasting and insight
• You’re operating independently: diagnosing issues, answering commercial questions, spotting opportunities and proposing tests
• You’ve built a roadmap for how Ballpoint’s data engine scales: sources, tooling, dashboards, attribution, and measurement confidence

Package

• Competitive salary
• 28 days paid holiday excluding bank holidays
• £1,500 tech budget
• EMI Scheme
• Enhanced Parental Leave Policy
• Work from anywhere days
• Monthly socials
• Regular team lunches
• Annual offsite