Senior Data Analyst - User Acquisition, Remote Growth

Mode.Inc; United States; Remote; USD 120,000 - 160,000; Full time

Benefits offered by this job

100% remote-first global environment

Equity plan

Individual bonuses via Company Bonus/激

Job summary

Mode is a fast-growing technology company building businesses at the intersection of AI, data, mobile apps, and digital experiences, with a global user base over 100M monthly active users. We are seeking an analytics-focused professional to design datasets, own UA performance metrics, and develop predictive models to optimize growth across paid channels.

You will build scalable data pipelines, validate cross-source data, and run advanced analyses including A/B tests and incrementality studies to

Qualifications

• Proven SQL and Python skills with analytics experience.
• Experience in UA/performance marketing data environments.
• Familiarity with at least one MMP and dashboards.

Responsibilities

• Design, build, and maintain datasets and data pipelines for self-service analytics.
• Own UA performance measurement across paid channels (Meta, Google, TikTok, AppLovin).
• Build and maintain predictive LTV models and cohort curves.
• Reconcile and validate data across MMPs, ad networks, and internal event data.
• Analyze web-to-app and web funnel performance to identify drop-offs.
• Design and interpret incrementality tests, geo-holdouts, and A/B tests.
• Monitor traffic quality and flag anomalies such as fraud or low-quality sources.
• Partner with the UA team on budget allocation and channel mix scenarios.

Skills

SQL

Python

Data analysis

A/B testing

Causal analysis

Tools

AppsFlyer

Adjust

Singular

Branch

Redshift

Spark

Airflow

Job description

Mode is a fast-growing technology company building businesses at the intersection of AI, data, mobile apps, and digital experiences, with a global user base over 100M monthly active users. We are seeking an analytics-focused professional to design datasets, own UA performance metrics, and develop predictive models to optimize growth across paid channels.

You will build scalable data pipelines, validate cross-source data, and run advanced analyses including A/B tests and incrementality studies to