Self Financial

Self Financial

Staff Data Analyst

Austin, TX · Staff+

Sponsorship not specified$140k-$170kDetected 41 days ago
PythonGitSQLBigQuerySnowflakeRedshiftDatabricksMachine LearningAirflowdbtData AnalysisData EngineeringData VisualizationAgentic AIStatisticsA/B TestingCommunicationCollaborationProblem SolvingCritical Thinking

Stay score

odds of building a lasting career here

54Sponsors, lottery-bound
Cap-exempt (no lottery)0
Sponsors this role80
Entry-level history0
PERM / green-card track0
Lottery odds (Level III)83
Fits your clock70

Sponsors, but it's cap-subject — you still face the weighted lottery (~45% per draw at Level III). Good if you win; have a cap-exempt backup on your list.

Lottery odds assume a STEM candidate.

Personalize to your clock →

H-1B wage level

the lottery is wage-weighted — each level is one more entry

Level III · 3×
Level I$77,3341 entry
Level II$101,9622 entries
Level III$126,5893 entries
Level IV$151,2164 entries

$11,216 more — $151,216 — moves this role to Level IV and 4 lottery entries. That figure is inside the range the employer already advertised.

Based on the DOL prevailing wage for this occupation and worksite, a base salary of $151,216 would place this position at wage Level IV. That figure is within the posted range, and I'd like to target it. This role classifies under "Data Scientists" for prevailing-wage purposes.

DOL prevailing wage, 2026-27 wage year · Data Scientists (15-2051) · Austin-Round Rock-San Marcos, TX. Wage level is derived by USCIS from the offered wage, occupation and worksite; the occupation shown is inferred from the job title.

Community outcomes

No reports yet — be the first to help the next applicant.

About the role

  • Generous health, dental, and vision insurance coverage
  • Gym membership options through ClassPass or monthly reimbursement
  • Company equity in the form of stock options

Responsibilities

  • Lead analytical projects/experiments that get past correlation to the actual drivers of customer and product behavior, segmentation, and engagement. Understanding which movements are noise versus those we should act on.
  • 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.
  • Team building events and activities

Requirements

  • 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 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.
  • Ability to translate business questions into actionable insights and clearly explain technical concepts to non-technical audiences.
  • Dedicated Work Ethic: You are willing to dive deep into the data, tackle challenging problems head-on, and see projects through to completion with rigor and attention to detail.
  • Innovator & AI Enthusiast: You are curious about emerging technologies, including AI, and eager to explore how they can be applied to improve analytical processes, models, and marketing effectiveness.
  • Experience building dashboards and reports using BI tools (e.g., Tableau, Looker, Power BI).
  • Excellent analytical, problem-solving, critical thinking and communication skills.

Nice to have

  • Preferred Skills:

Skills

  • 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's Exciting

Compensation

  • $140,000 - $170,000 annually.
  • Individual pay is based on factors unique to each candidate, including skill set, experience, and other job-related reasons.

Benefits

  • Employer-paid benefits including life, disability, and cost-containment resources
  • Education reimbursement program
  • Paid parental leave
  • Relocation bonus to move to Austin
  • Flexible vacation

Company info

  • We're looking for people who share our passion and are driven to tackle challenges, find solutions and make the financial space better for the communities we serve.
  • Executing on our mission requires deep collaboration across our teams to ensure our products reach the people who can benefit from them the most, particularly the 100 million+ Americans who have no or low credit.
  • At this time, we are only able to consider applicants who are U.S. Citizens or Green Card Holders for employment opportunities.
  • Company performance-based bonuses
  • Direct Impact: Your analysis and insights will directly shape how we engage with our customers, influencing key marketing strategies and product decisions that help people improve their financial health.

Equal opportunity

  • We are an Equal Opportunity Employer.
Apply directly at Self Financial →Create a free account for alerts like thisView Self Financial immigration profile

This listing is sourced directly from Self Financial's careers page and normalized into a canonical job model.