or apply directly on Self Financial's site. We never take the application ourselves.
Is this posting real?
- This role has been open
- 13 days Self Financial's roles stay open a median of 38 days
- Reposted
- No
- Salary listed
- Yes 100% of Self Financial's roles list one
- Ghost-job risk at Self Financial
- moderate 2 stale, 0 reposted of 7 open
- Hiring momentum
- 9 roles opened in the last 90 days ↑ up vs. the prior 90 days
- Last confirmed on the employer's board
- 2026-09-17
Measured from postings appearing on and disappearing from Self Financial's own greenhouse board since 2026-08-03. Full hiring picture for Self Financial.
About this role
As a Staff Data Analyst at Self Financial, you will lead analytical projects to understand customer behavior and product performance, contributing to data models and collaborating with various teams. Your role involves building AI-driven analytics systems, developing dashboards, and utilizing advanced analytical techniques to drive insights and influence business decisions. You will also communicate findings to both technical and non-technical stakeholders, ensuring that your work has a direct impact on the company's mission to improve financial inclusion.
- benefits
- 5/5
- freshness
- 4/5
- career value
- 5/5
- role clarity
- 5/5
- pay transparency
- 5/5
Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of Self Financial as an employer.
What you need
- Bachelor's or Master's degree in a quantitative field such as Statistics, Mathematics, Economics, Computer Science, or a related discipline
- 8+ years of experience in a data analytics role, with significant experience supporting product teams, preferably within fintech or a related consumer-facing industry
- Experience working in cloud-based data warehouses with proven expertise in SQL (e.g., Snowflake, Redshift, BigQuery)
- Experience building dashboards and reports using BI tools (e.g., Tableau, Looker, Power BI)
- Experience working with analytics engineering ELT tools (e.g., dbt, Databricks, Airflow, Git)
- Experience with AI (e.g., Claude, Codex), including building skills, agents, and context harnesses
Nice to have
- Familiarity with marketing automation platforms and customer data platforms
- Experience with predictive modeling techniques (e.g., regression, classification) and machine learning concepts
- Understanding of customer lifetime value (CLTV) modeling and cohort analysis
- Experience working in an agile development environment
What you get
- Company equity in the form of Stock Options
- Performance-based bonuses
- Generous employer-paid health, vision and dental insurance coverage
- Flexible vacation policy
- Educational assistance
- Free gym membership
Worth weighing
- Base salary range is $140,000 - $170,000, which may vary based on individual factors
- Role involves significant ownership and influence, which may be challenging for some candidates
- Requires comfort with ambiguity and complex problem-solving in a fast-paced environment
Summarised from Self Financial's posting. Read the full original.
Listed by Self Financial on their greenhouse job board, last confirmed open on 2026-09-17. PitchMeAI is not the employer.
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