Senior Data Analyst, UA & Growth Analytics

Inclusively Remote; United States; Remote; USD 110,000 - 165,000; Full time

Job summary

Mode is a fast-growing tech company focused on AI, data, mobile apps, and digital experiences with a global audience. We are seeking a Senior Data Analyst to partner with the User Acquisition team, owning measurement from attribution to cohort LTV and payback, and turning insights into actionable spend recommendations.

You will design datasets and pipelines, improve data quality, and build predictive models to guide budget decisions across multiple channels.

Qualifications

• 4+ years in analytics, with at least 2 years supporting user acquisition or performance marketing for mobile apps.
• Solid SQL and Python programming skills, and experience working with large-scale production data.
• Hands-on experience with at least one MMP (AppsFlyer, Adjust, Singular, or Branch) and an understanding of attribution windows, re-engagement, and postbacks.
• Experience building dashboards, LTV/payback models and cohort analyses.
• Familiarity with growth marketing concepts like A/B Testing, Causal analysis, Incrementality, MMM, iOS SKAN & privacy changes.
• Nice to have: Big Data tools (Redshift/Spark/Airflow), experiment design, predictive modeling, log analysis, AI, or startup/tech exposure.

Responsibilities

• Design, build, and maintain datasets and data pipelines for self-service analytics across the organization.
• Improve data quality, accuracy, reliability, and documentation for analytics.
• Own UA performance measurement across paid channels, including CPI/CAC, ROAS, retention, and payback by channel, campaign, geo, and creative.
• Build and maintain predictive LTV models and cohort curves to inform bid and budget decisions.
• Reconcile and validate data across MMPs, ad networks, and internal event data; investigate attribution discrepancies.
• Analyze web-to-app funnel, from landing page to install to reward, and identify drop-offs.
• 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 and post-install behavior.
• Partner with UA team on budget allocation and channel mix scenarios; translate findings into spend recommendations.

Skills

SQL

Python

Data analysis

Analytical thinking

Cross-functional collaboration

Communication

Growth analytics

Tools

AppsFlyer

Adjust

Singular

Branch

Job description

Mode is a fast-growing tech company focused on AI, data, mobile apps, and digital experiences with a global audience. We are seeking a Senior Data Analyst to partner with the User Acquisition team, owning measurement from attribution to cohort LTV and payback, and turning insights into actionable spend recommendations.

You will design datasets and pipelines, improve data quality, and build predictive models to guide budget decisions across multiple channels.