Cette offre d'emploi n'est plus disponible
Data Engineer & Analyst
Ballpoint
- London, England, United Kingdom
- London, England, United Kingdom
À propos
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 analysis
work 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
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
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
£1,500 tech budget
EMI Scheme
Enhanced Parental Leave Policy
Work from anywhere days
Monthly socials
Regular team lunches
Annual offsite
Seniority level
Mid-Senior level
Employment type
Full-time
Job function
Information Technology
Industries
Advertising Services
#J-18808-Ljbffr
Compétences linguistiques
- English
Avis aux utilisateurs
Cette offre a été publiée par l’un de nos partenaires. Vous pouvez consulter l’offre originale ici.