Founding Data Lead

Pocket
San Francisco
Workplace: RemoteFull timeUSD 150,000 - 180,000 annuallyFunction: Entrepreneurship & Venture BuildingExperience: 3+ yearsSkills: ["Ownership","Data accuracy","Data reliability","Communication","Stakeholder influence","Turning ambiguous questions into analysis"]

Own Pocket’s data foundation and decision-making systems end to end—building reliable pipelines, a single source of truth, and analytics that product, growth, marketing, sales, finance, and operations can trust. Design data models and transformation layers, instrument events and customer lifecycle tracking, define KPIs and governance, and drive cohort, retention, and attribution analysis. Turn ambiguous questions into clear recommendations for founders and teams.

Loading

Loading job details...

Preparing the role view and application actions.

FursaFursa
Pocket
Pocket
2 days ago

Founding Data Lead

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 22 hours agoStatus: Live

Job Summary

Own Pocket’s data foundation and decision-making systems end to end—building reliable pipelines, a single source of truth, and analytics that product, growth, marketing, sales, finance, and operations can trust. Design data models and transformation layers, instrument events and customer lifecycle tracking, define KPIs and governance, and drive cohort, retention, and attribution analysis. Turn ambiguous questions into clear recommendations for founders and teams.
Location: San Francisco
Workplace: Remote
Employment Type: Full time
Job Function: Entrepreneurship & Venture Building
Seniority: Mid level

Key Responsibilities

  • •Build Pocket’s data strategy, architecture, and analytics foundation, ensuring a reliable single source of truth across key data sources.
  • •Develop data pipelines, warehouse architecture, transformation models, and enforce data quality with monitoring and documentation.
  • •Define company-wide metrics and KPIs with governance, including event taxonomy, identity resolution, and customer lifecycle tracking.
  • •Analyze the full customer journey and produce cohort/segmentation insights (e.g., acquisition to churn, referral) to identify highest-value users.
  • •Create executive dashboards and self-serve analytics, and provide proactive recommendations explaining why results happened and what to do next.

Pay and Benefits

Salary: USD 150,000 - 180,000 annually
Equity and Bonus:Equity
Perks:Equity

Key Requirements

  • •3+ years of experience across data analytics, analytics engineering, data science, data engineering, or a similarly quantitative role.
  • •Advanced SQL skills and strong working knowledge of Python.
  • •Hands-on experience building reliable data pipelines and models, not just analyzing datasets.
  • •Experience with modern data warehouses and transformation tools such as dbt, plus BI/product analytics tooling.
  • •Strong understanding of cohort analysis, retention, funnels, segmentation, experimentation, CAC, LTV, and attribution.
Experience:3+ yearsHigh-growth startupTechnology companyE-commerceSubscriptionMobile appHardwareConsumer technologyDTC
Skills:OwnershipData accuracyData reliabilityCommunicationStakeholder influenceTurning ambiguous questions into analysis
Tech Stack:PythonSQLDbtShopifyAmazon

Eligibility

Work Authorization:Sponsorship available.

Company Brief

Pocket
Offers a consumer-facing mobile service called Pocket aimed at helping users manage money and digital wallets through a simple app and card, focusing on everyday spending and personal finance convenience.
Industry: Neobanking
Website