About the role and why it's unique:
- As a Data Analyst II, Marketing, you'll be part of our Growth/UA analytics team, supporting our integrated media strategy across both digital and offline channels.
- Develop and maintain comprehensive reporting metrics to track performance across the full marketing mix including digital campaigns, TV, radio, OOH, and print media.
- Analyze acquisition funnels, user journey flows, and retention patterns to optimize CAC while balancing long-term customer value and payback targets.
- Create and maintain dashboards and visualizations that provide a unified view of marketing performance across all channels.
- Identify correlations between offline media initiatives and digital engagement/conversion metrics.
- Collaborate with marketing teams to provide strategic recommendations for cross-channel campaign optimization and budget allocation.
- Support the development of attribution models that account for both digital and offline touchpoints.
Who you are:
- 3+ years of experience in marketing analytics across digital and/or traditional media channels.
- Strong SQL skills with the ability to query complex datasets and join multiple data sources.
- Experience with dashboard creation and data visualization tools.
- Familiarity with mobile marketing measurement platforms (AppsFlyer, Adjust, Branch, or similar DMPs).
- Knowledge of offline media measurement tools and methodologies (iSpot, Nielsen, Kantar, or similar).
- Understanding of key marketing metrics including CAC, LTV, ROAS, and multi-touch attribution models.
- Experience analyzing user acquisition campaigns across multiple channels, including the ability to identify halo effects from offline to online.
- Ability to work with time-series data to identify correlations between offline media flights and digital performance.
- Strong problem-solving skills with the ability to translate data insights into actionable recommendations.
- Excellent communication skills to present findings to both technical and non-technical stakeholders.
Even better if you have:
- Experience in the sports betting, gaming, or fantasy sports industries.
- Knowledge of A/B testing methodologies and statistical significance.
- Experience with Python, R, or other programming languages for data analysis.
- Familiarity interpreting the outputs of marketing mix modeling (MMM) or other advanced media measurement techniques.
- Background in geo-testing methodologies for media incrementality measurement.
- Experience working with cross-channel attribution solutions.
- Understanding of TV advertising metrics and measurement challenges.
- Background in cohort analysis and customer segmentation.
- Strong interest in sports.
Compensation and Benefits:
Our target starting base salary range for this position is between $110,000 and $120,000, plus target equity. The starting base salary will depend on a number of factors including the candidate's skills and experience, among other things.
What we can offer you:
- Unlimited PTO (we're extremely flexible with the exception of the first few weeks before & into the NFL season).
- 16 weeks of fully paid parental leave.
- A $500 home office allowance.
- A connected virtual first culture with a highly engaged distributed workforce.
- 5% 401k match, FSA, company paid health, dental, vision plan options for employees and dependents.
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