Lead Marketing Analyst, Performance Marketing

Runna

Greater London

Hybrid

GBP 77,000 - 93,000

Full time

12 days ago
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Benefits offered by this job

Flexible working
25 days holiday
Runna & Strava subscriptions
Headspace membership
Gym budget
Private health insurance
Workplace pension

Job summary

Runna, the leading runner training platform, is seeking an Analytics Lead for its Performance Marketing function in London. You will define KPIs, build measurement frameworks, and translate data into decisions that drive acquisition, retention, and growth.

Collaborating with growth marketing, strategy and finance, you’ll build attribution models, run experiments, and deliver dashboards that reveal actionable insights for stakeholders across the business.

Qualifications

  • 5+ years in marketing data analytics or analytics engineering.
  • Advanced SQL across marketing platforms and Snowflake.
  • Experience designing experiments, including incrementality testing and A/B methodologies.
  • Strong Python for data cleansing, transformation, and analysis.
  • Ability to translate complex technical findings into clear recommendations for stakeholders.
  • Experience mentoring junior analysts and helping set technical standards.

Responsibilities

  • Own the analytics and measurement strategy for Runna Performance Marketing, defining KPIs and building measurement frameworks.
  • Build high-quality marketing attribution models to guide campaign strategy.
  • Measure spend impact using MMM, MTA, Incrementality Testing and surface new platforms for testing.
  • Maintain up-to-date awareness of paid media trends and privacy requirements and apply them to attribution and measurement.
  • Design and deliver dashboards that make insights intuitive and accessible for stakeholders.
  • Collaborate with growth marketers to design and evaluate experiments across channels and geos.

Skills

Advanced SQL
Python
Experiment design
Data modeling
Mentoring

Education

Degree in CS/Math/Stats/Data Science

Tools

Apple Ads
Google Ads
Meta
AppsFlyer
Snowflake

Job description

We're putting together a talented team to build the #1 training platform for Runners. We help everyday runners become outstanding by building an incredible app providing world-class training, coaching and community for everyone, whether you're improving your 5k time or training for your first marathon. We’re growing extremely fast! In November 2023 we closed a $6.5M funding round led by JamJar with participation from Eka Ventures, Venrex and Creator Ventures. In 2024, we were selected by Apple as one of three global finalists for the iPhone app of the year, reflecting the innovation and impact of what we’ve built & in 2025 we were acquired by Strava! Our ambition is huge: to become the go-to global leading training platform for millions of runners everywhere. We’re growing with purpose and looking for people who want to build something meaningful with lasting impact. With the recent acquisition by Strava accelerating our journey, now is a really magical time to join.

About This Role

You’ll be the analytics lead for Runna's Performance Marketing function, bringing rigor and strategic insight to paid media, acquisition, and marketing-led initiatives. Working closely with growth marketing, strategy, and finance, you'll define the right metrics, build measurement frameworks, and turn data into decisions that shape how millions of athletes experience Runna. We follow a flexible hybrid model that translates to more than half of your time on-site – 3 days per week in Runna’s office based in London, UK.

The Team You'll Join

The Marketing Analytics team powers the decisions that drive both Strava and Runna's user and subscription growth and retention. We sit at the intersection of data and strategy, partnering across marketing, product, and finance to accelerate learning, make data-informed decisions, and define data-inspired solutions that fuel both Strava and Runna's growth.

What You'll Do
  • Own the analytics and measurement strategy for Runna Performance Marketing, including defining KPIs, building measurement frameworks, and translating outputs into actionable recommendations for key stakeholders, with additional support for other marketing areas such as Lifecycle and Organic Marketing where needed
  • Build high-quality marketing attribution models, using your paid media expertise as the foundation the team uses for campaign strategy
  • Leverage MMM, MTA, Incrementality Testing and other tools to measure the impact of spend distribution across business units, geos and channels, and surface new platforms for testing
  • Maintain up-to-date awareness of paid media industry trends and best practices, including evolving privacy requirements and tracking standards and apply them to our attribution and measurement approach.
  • Partner with performance marketers to design and evaluate experiments across marketing channels and geos, ensuring rigorous incrementality measurement
  • Design and deliver dashboards that make key insights intuitive and accessible
  • Work with stakeholders across the business to turn open-ended questions into technical solutions
What You’ll Bring to the Team
  • Substantial experience (5+ years) in marketing data analytics or analytics engineering, with a track record of building high-quality, reusable data models and BI dashboards for varied stakeholders
  • Advanced SQL skills, including building complex, scalable queries across marketing platforms (e.g. Apple Ads, Google Ads, Meta, AppsFlyer) and data warehouses (ideally Snowflake)
  • Experience designing and evaluating experiments, including incrementality testing and A/B methodologies
  • Strong Python skills for data cleansing, transformation, and analysis
  • A track record of translating complex technical findings into clear recommendations for both technical and non-technical stakeholders
  • Experience coaching or mentoring more junior analysts and helping set technical standards for a team
Bonus Points If You Have
  • Relevant Degree: A degree in a related field such as Computer Science, Mathematics/Statistics, or Data Science is great to have.
  • Continuous Integration/Continuous Deployment: Knowledge of CI/CD best practices and experience with methodologies and tooling, such as GitHub actions, is beneficial but not required.
  • Fitness: Experience with fitness data (e.g. heart rate data, FIT files) or even a general interest in fitness will be beneficial for understanding the domain.
Compensation & Benefits

We're offering a salary of £76,500 - £92,700, plus participation in Strava’s long-term incentive (stock) programs.

We're also committed to continually evolving our benefits to support you as we grow. Here is a brief overview of what we currently offer in the UK.

  • Flexible working – we typically spend 3 days a week together in our Vauxhall office
  • 25 days holiday, plus bank holidays
  • Free Runna & Strava subscriptions for you and 3 of your friends (get ready to be your friends' fave person or save them for holiday presents!)
  • Headspace membership
  • Money every year to spend on gear, events and the gym!
  • Private health insurance with Bupa and workplace pension scheme
  • Modern Health is a mental wellness platform and app that combines technology with professional support to improve mental well-being and reduce stress
  • Carrot fertility support: this benefits provider can provide inclusive fertility, hormonal health, and family-forming benefits to our global employee population and takes the burden off what we know can be a stressful process
Our Interview Process
  • Initial application and HackerRank Assessment (20 mins)
  • Screening call with Talent team (30 minute video call)
  • Interview with the Hiring Manager (30 minute video call)
  • SQL Take-Home Test (max 2-3 hours to complete, and discussed on a call with a couple members of the team)
  • Analytics Case Study Interview (Performance Marketing) (60 minute video call)
  • Meet the team (2x 30 minute in-person chats with more members of the team)

Please let us know if there's anything we can do to better accommodate you throughout the interview process. This can range from scheduling interviews around childcare commitments to accessibility requirements. We want you to show your best self in the process, so please speak to your Talent Partner!

We’re unfortunately unable to sponsor for this role

Compensation Range: £76.5K - £92.7K

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