Lead Marketing Analyst, Performance Marketing

Socket.dev

London

Hybrid

NOK 964,000 - 1,168,000

Full time

4 days ago
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Benefits offered by this job

Flexible working
25 days holiday
Runna/Strava subscriptions
Headspace membership

Job summary

Runna is seeking an Analytics Lead to drive performance marketing decisions with rigorous data insight. You will partner with growth, strategy, and finance to define metrics, build measurement frameworks, and translate data into decisions impacting millions of runners.

The role focuses on paid media attribution, MMM/MTA, experiment design, and building scalable data models. This is a hybrid role with three days per week on-site at the London office.

Qualifications

  • 5+ years in marketing data analytics or analytics engineering.
  • Ability to build reusable data models and BI dashboards for varied stakeholders.
  • Strong SQL skills across marketing platforms and data warehouses.
  • Experience designing and evaluating experiments (incrementality testing, A/B).
  • Proficient in Python for data cleansing, transformation, and analysis.
  • Able to translate complex findings into clear recommendations.

Responsibilities

  • Own analytics and measurement strategy for Runna Performance Marketing; define KPIs and build measurement frameworks.
  • Build high-quality marketing attribution models and inform campaign strategy.
  • Use MMM, MTA, and Incrementality Testing to measure spend impact across units, geos, and channels; surface new testing platforms.
  • Stay updated on paid media trends and privacy/tracking requirements; apply to attribution and measurement.
  • Collaborate with marketers to design and evaluate experiments across channels and geos; ensure rigorous incrementality.
  • Design and deliver dashboards making insights intuitive and accessible.
  • Turn business questions into technical solutions across stakeholders.

Skills

Marketing analytics
Advanced SQL
Experiment design
Python
Communicating findings
Mentoring

Education

Degree in Computer Science / Mathematics / Statistics / Data Science

Tools

Snowflake
AppsFlyer
GitHub Actions

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

  1. Flexible working – we typically spend 3 days a week together in our Vauxhall office

  2. 25 days holiday, plus bank holidays

  3. 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!)

  4. Headspace membership

  5. Money every year to spend on gear, events and the gym!

  6. Private health insurance with Bupa and workplace pension scheme

  7. Modern Health is a mental wellness platform and app that combines technology with professional support to improve mental well-being and reduce stress

  8. 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

Please see more info on our benefits here: Benefits at Runna

Our Interview Process

Our aim is to keep the interview process as straightforward and enjoyable as possible, and will consist of the following stages:

  1. Initial application and HackerRank Assessment (20 mins)

  2. Screening call with Talent team (30 minute video call)

  3. Interview with the Hiring Manager (30 minute video call)

  4. SQL Take-Home Test (max 2-3 hours to complete, and discussed on a call with a couple members of the team)

  5. Analytics Case Study Interview (Performance Marketing) (60 minute video call)

  6. 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

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