{"id":698502,"url":"https://alion.io/job/self-staff-data-analyst","title":"Staff Data Analyst","company":{"id":689807,"name":"Self","domain":"self.inc","url":"https://alion.io/company/self-4","size_band":"201-500","is_staffing_agency":false,"is_intermediary":false,"ats_vendor":"Greenhouse","truth_index":null},"role":"Analytics","role_family":"Analytics","seniority":"staff","employment_type":null,"work_mode":"hybrid","remote_scope":null,"hiring_geo_confidence":"structured","locations":["Austin, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":140000,"max":170000,"currency":"USD","period":"year","gross":null,"usd_annual":170000},"salary_estimate":null,"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":true,"technologies":[{"name":"A/B Testing","optional":false},{"name":"AI Agents","optional":false},{"name":"Amazon Redshift","optional":false},{"name":"BigQuery","optional":false},{"name":"Claude","optional":false},{"name":"Databricks","optional":false},{"name":"dbt","optional":false},{"name":"Git","optional":false},{"name":"Google BigQuery","optional":false},{"name":"Looker","optional":false},{"name":"Power BI","optional":false},{"name":"Python","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false},{"name":"Tableau","optional":false},{"name":"Agile","optional":true},{"name":"Machine Learning","optional":true}],"status":"live","first_seen_at":"2026-09-03T19:16:08Z","employer_posted_date":"2026-09-11","last_verified_at":"2026-09-24T01:06:26Z","board_verified":true,"closed_at":null,"days_open":20,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":20},"description":"Self Financial is a venture-backed, high-growth FinTech company with a mission to increase economic inclusion and financial resilience by empowering people to build credit and build savings.\nWe'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.\nOur team is passionate about challenging the status quo of the credit industry by providing people accessible tools to take control of their credit. 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.\nRole Summary:\nSelf is looking for a Staff Analyst to join our Product and Customer Analytics team for our most important problem, driving sustainable growth throughout the customer’s lifecycle. This role is for a builder who works backwards from having a deep understanding of how the business functions, what data it takes to build that understanding, and then applying a deep analytical lens.\nYou will have company-wide visible ownership of the metrics and analytical systems in the Credit Builder Account and Credit Card portfolio as well as the Customer lifecycle itself. You must be comfortable influencing teams and having a strong point-of-view that is loosely held but informed by data.\nYou are joining a highly AI Native team with high autonomy across data modeling, analysis, and predictive use cases. You are expected to be comfortable with semantic layer build outs, and the core tenets of what it takes to build an AI native analytics platform that enables high velocity with high trust decision making.\nWhat you will do:\nLead 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.\nContribute directly to the data models this portfolio runs on, in partnership with Data Engineering and Analytics Engineering.\nPartner closely with Product, Marketing, and Engineering teams to define measurement strategies, set goals, and influence the business roadmap.\nBuild 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.\nDevelop and maintain business intelligence dashboards and reporting that provide visibility into key lifecycle marketing KPIs, customer cohorts, and campaign performance.\nUtilize advanced analytical techniques (e.g., statistical modeling, predictive analytics, causal inference) to uncover insights and forecast the impact of initiatives.\nCommunicate findings and recommendations effectively to both technical and non-technical audiences, including senior leadership.\nStay abreast of industry trends in financial products, AI, analytics, analytics engineering, and business intelligence.\nWho You Are:\nOutcome & Impact Focused: You understand that your success ultimately depends on your impact, you are driven by the desire to create tangible business results. You prioritize initiatives that will have the greatest impact.\nDedicated 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.\nInnovator & 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.\nHungry for Growth: You have a strong desire to continuously learn, expand your skillset, and seek out new challenges. You are proactive in your own development.\nThrives in Ambiguity: You are comfortable navigating complex, sometimes undefined problems and can bring structure and clarity to ambiguous situations in a fast-paced environment.\nReal Ownership Mentality: You take full responsibility for your work, from initial analysis to communicating results and influencing action. You treat every challenge as an opportunity to make a difference.\nQualifications:\nBachelor's or Master's degree in a quantitative field such as Statistics, Mathematics, Economics, Computer Science, or a related discipline.\n8+ 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).\nExperience working in cloud-based data warehouses with proven expertise in SQL (e.g., Snowflake, Redshift, BigQuery).\nExperience building dashboards and reports using BI tools (e.g., Tableau, Looker, Power BI).\nExperience working with analytics engineering ELT tools (e.g., dbt, Databricks, Airflow, Git)\nExperience with AI (e.g., Claude, Codex), including building skills, agents, and context harnesses.\nStrong proficiency in at least one programming language for data analysis (e.g., Python, R).\nExperience 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.\nExcellent analytical, problem-solving, critical thinking and communication skills.\nAbility to translate business questions into actionable insights and clearly explain technical concepts to non-technical audiences.\nPreferred Skills:\nFamiliarity with marketing automation platforms and customer data platforms.\nExperience with predictive modeling techniques (e.g., regression, classification) and machine learning concepts.\nUnderstanding of customer lifetime value (CLTV) modeling and cohort analysis.\nExperience working in an agile development environment.\nWhat's Exciting About the Role:\nDirect 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.\nChallenging Problems: You'll tackle complex analytical challenges related to customer behavior, segmentation, and optimization in a fast-paced, data-rich environment.\nStrategic Partnership: Work closely with marketing and product leaders, acting as a trusted advisor to drive growth and improve the customer experience.\nGrowth Opportunities: This Staff role offers the chance to lead significant projects, mentor others, and contribute to the strategic direction of the Analytics team.\nMeaningful Mission: Be part of a company with a mission to make a real difference in people's lives by providing tools to build credit and achieve financial stability.\nBase salary range: $140,000 - $170,000 annually. Individual pay is based on factors unique to each candidate, including skill set, experience, and other job-related reasons.\nBenefits and Perks:\nWe have the compensation and benefits you expect. But there's one thing that Self Financial can offer that many companies cannot: we can positively change the world, while making a profit. We are a team of Builders, empowering our customers to build their dreams. \nOur perks include:\nCompany equity in the form of Stock Options\nPerformance-based bonuses\nGenerous employer-paid health, vision and dental insurance coverage\nFlexible vacation policy\nEducational assistance\nFree gym membership\nCasual dress code\nTeam building events and activities\nHybridwork arrangements/schedules\nPaid parental leave \nSelf Financial requires all employees hired to successfully pass a background check.\nWe are an Equal Opportunity Employer.\n At this time, we are only able to consider applicants who are U.S. Citizens or Green Card Holders for employment opportunities. We appreciate your understanding.","description_format":"text","description_chars":7778,"description_truncated":false,"requirements":{"experience_years_min":8,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":["Dental insurance","Equity","Flexible vacation policy","Growth opportunities","Gym membership","Insurance coverage","Parental leave","Stock options"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Financial Services","Banking","Credit Cards"],"lifecycle":[{"event":"open","at":"2026-09-11T02:26:39Z"}],"liveness":{"score":81,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.903,"p_room":0.9,"age_days":20,"expected_fill_days":55,"reasons":["conf:4","velocity","win:mid"],"computed_at":"2026-09-24T05:45:00Z"},"pay":{"stated_usd_annual":170000,"is_top_pay":false},"html_url":"https://alion.io/job/self-staff-data-analyst","json_url":"https://alion.io/job/self-staff-data-analyst.json","meta":{"generated_at":"2026-09-24T08:36:18Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers"}}