Senior Data Analyst: AI-Driven Analytics & Dashboards

Existence; Los Angeles (CA); Remote; USD 105,000 - 145,000; Full time

Benefits offered by this job

Remote work

Travel to LA HQ occasionally

Job summary

Existence is seeking a Senior Data Analyst to own the analytics layer of the business, defining metrics, building dashboards, analyzing user behavior, and reading out experiments. You’ll shape data collection and partner with the Data Engineer to feed the warehouse.

You’ll drive AI-enabled analytics, instrument data requirements, and deliver executive reporting to help leadership make data-driven decisions across product, growth, and operations.

Qualifications

• 5+ years in analytics, product analytics, or a closely related quantitative role.
• Strong SQL and comfort working with large behavioral datasets in a modern warehouse (Snowflake).
• Fluency in consumer software KPIs across Product, Growth/Marketing, and Finance, and a track record of defining and standardizing them.
• Demonstrated experience building dashboards, recurring reports, and executive-level business intelligence.
• Solid grounding in experimentation: designing A/B tests, choosing appropriate statistical methods, and communicating results honestly.
• Experience with cohort analysis, segmentation, funnel analysis, and retention modeling.
• Ability to explain quantitative findings clearly to both technical and non-technical executives.
• Comfortable in a fast-moving, early-stage environment where the data function is still being built.
• Can be trusted with sensitive user data and held to the highest security and privacy standards.
• Must have a a clear sense of the difference between reporting and insight: you don't stop at 'here's what the numbers show,' you form a point of view and make a recommendation

Responsibilities

• Own KPI architecture across consumer software funnel: acquisition, activation, engagement, retention, conversion, monetization, LTV, CAC, churn, and cohort performance.
• Build and maintain company dashboards and recurring reports for Product, Marketing, Finance and leadership.
• Analyze user behavior, feature adoption, engagement, retention, cohorts, and funnels for product leadership insights.
• Create user-level reporting for segmentation, cohort and longitudinal analysis, tying behavioral data to surveys and research.
• Partner with Marketing to measure acquisition efficiency, attribution, channel performance, CAC/LTV/ROAS dynamics.
• Design and run A/B tests and other experiments; read out results to inform decisions.
• Deliver concise, reliable executive reporting to the CEO, COO, CPO, and CMO.
• Define data requirements and collaborate with Data Engineering to validate and warehouse them.
• Set standards for metric definitions, documentation, and analytical rigor.
• Leverage AI tools to speed up analysis and reporting; explore new tools as they prove useful.

Skills

SQL

Dashboards

Experimentation

Cohort analysis

Retention modeling

Communication with execs

Education

Bachelor's degree in a quantitative field

Tools

Snowflake

Dagster

Mixpanel

Evidence.dev

Job description

Existence is seeking a Senior Data Analyst to own the analytics layer of the business, defining metrics, building dashboards, analyzing user behavior, and reading out experiments. You’ll shape data collection and partner with the Data Engineer to feed the warehouse.

You’ll drive AI-enabled analytics, instrument data requirements, and deliver executive reporting to help leadership make data-driven decisions across product, growth, and operations.