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Mode is a fast-growing technology company building mobile apps and digital products that reach 100M+ monthly active users globally. The company was recognized by Deloitte as the #1 fastest-growing software company in North America on the 2023 Technology Fast 500. Mode is expanding its AI and data business and building direct relationships with companies that can benefit from its data and capabilities.
You will be the analytical partner to Mode's User Acquisition team, owning the measurement of how the company acquires users across its portfolio of mobile apps and web properties. Your work will span attribution and channel performance to cohort LTV and payback analysis, translating findings into clear recommendations on budget allocation and spend optimization.
Key responsibilities include:
- Design, build, and maintain datasets and data pipelines that enable self-service analytics and data-driven decision-making across the organization
- Improve data quality, accuracy, reliability, and documentation
- Own UA performance measurement across paid channels (Meta, Google, TikTok, AppLovin, Unity), including CPI/CAC, ROAS, retention, and payback by channel, campaign, geo, and creative
- Build and maintain predictive LTV models and cohort curves to support bid and budget decisions on early signals
- Reconcile and validate data across MMPs, ad networks, and internal event data; investigate discrepancies in attribution, installs, and revenue
- Analyze web-to-app and web funnel performance to identify drop-off points
- Design and read incrementality tests, geo-holdouts, and A/B tests to measure true lift beyond last-touch attribution
- Monitor traffic quality and flag anomalies including fraud, low-quality sources, and unexpected post-install behavior
- Partner with the UA team on budget allocation scenarios and translate findings into spend recommendations
Mode is a 100% remote-first, global company offering a competitive compensation package, equity participation, individual bonuses, generous perks and benefits, open PTO, and wellness days.
REQUIREMENTS:
- 4+ years in analytics, with at least 2 years supporting user acquisition or performance marketing for mobile apps
- Solid SQL and Python programming skills; experience working with large-scale production data
- Hands-on experience with at least one MMP (AppsFlyer, Adjust, Singular, or Branch) and understanding of attribution windows, re-engagement, and postbacks
- Experience building dashboards, LTV/payback models, and cohort analyses
- Familiarity with growth marketing concepts: A/B testing, causal analysis, incrementality, inferential statistics, MMM, iOS SKAN, and incoming privacy changes
- Analytical excellence to dissect complex, ambiguous problems and uncover actionable insights
- Business acumen to translate data and analysis into business impact
- Exceptional written and verbal communication skills for cross-functional collaboration
- Nice to have: experience with Big Data tools (Redshift/Spark/Airflow), experiment design, predictive modeling, log analysis, AI, or tech/startup environments
