Staff Data Analyst: AI-Driven Growth & Equity

Triwill Group; Austin, Northern (TX, KY); Hybrid; USD 140,000 - 170,000; Full time

Benefits offered by this job

Stock options

Bonuses

Health, Vision & Dental insurance

Flexible vacation

Educational assistance

Free gym membership

Casual dress code

Team building events

Hybrid work arrangements

Paid parental leave

Job summary

Self Financial in Austin, TX seeks a Staff Analyst to join the Product and Customer Analytics team for driving sustainable growth across the customer lifecycle. You will own metrics and analytical systems for the Credit Builder Account and Credit Card portfolios, influencing roadmaps with data.

You will work on AI-native analytics, semantic layers, and dashboards, partnering with Product, Marketing, and Engineering to deliver measurable business impact across campaigns and lifecycle stages.

Qualifications

• 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 (e.g., banking, credit cards, lending).
• 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.
• Strong proficiency in at least one programming language for data analysis (e.g., Python, R).
• Experience with A/B testing and causal inference, including both Bayesian and Frequentist approaches and quasi-experimental methods (difference-in-differences, etc.) for cases where a clean test isn't an option.
• Excellent analytical, problem-solving, critical thinking and communication skills.
• Ability to translate business questions into actionable insights and clearly explain technical concepts to non-technical audiences.

Responsibilities

• Lead analytical projects/experiments that get past correlation to the actual drivers of customer and product behavior, segmentation, and engagement.
• Contribute directly to the data models this portfolio runs on, in partnership with Data Engineering and Analytics Engineering.
• Partner closely with Product, Marketing, and Engineering teams to define measurement strategies, set goals, and influence the business roadmap.
• Build and manage agentic AI (Claude), domain context layers, and semantic workflows (dbt Metric Flow, Semantic Layer) to enable working smarter and automation of day-to-day functions.
• Develop and maintain business intelligence dashboards and reporting that provide visibility into key lifecycle marketing KPIs, customer cohorts, and campaign performance.
• Utilize advanced analytical techniques (e.g., statistical modeling, predictive analytics, causal inference) to uncover insights and forecast the impact of initiatives.
• Communicate findings and recommendations effectively to both technical and non-technical audiences, including senior leadership.
• Stay abreast of industry trends in financial products, AI, analytics, analytics engineering, and business intelligence.

Skills

Data analytics

Communication

Critical thinking

Problem solving

Adaptability

Education

Bachelor's or Master's degree in a quantitative field

Tools

SQL

Snowflake

Redshift

BigQuery

Tableau

Looker

Power BI

dbt

Databricks

Airflow

Git

Claude

Codex

Python

R

Job description

Self Financial in Austin, TX seeks a Staff Analyst to join the Product and Customer Analytics team for driving sustainable growth across the customer lifecycle. You will own metrics and analytical systems for the Credit Builder Account and Credit Card portfolios, influencing roadmaps with data.

You will work on AI-native analytics, semantic layers, and dashboards, partnering with Product, Marketing, and Engineering to deliver measurable business impact across campaigns and lifecycle stages.