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Data Analyst Pro Jobs (NOW HIRING)

Self Financial

Staff Data Analyst

Austin, TX · On-site

You 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 ...

Triwill Group

$150 - $200/hr

You 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 ...

New

ZURU

Data Analyst Intern

El Segundo, CA · On-site

$20 - $25/hr

If you're a problem-solving pro, an analytical thinking, a team player and can speak the language of data - we want to hear from you! ZURU is on a mission to disrupt across industries, challenge the ...

BMO Capital Markets

Sr. Data Analyst

San Ramon, CA · On-site

$65K - $140K/yr

Data Analytics & Reporting Build trusted data. Shape the future with AI. We're looking for a ... Salaries for part-time roles will be pro-rated based on number of hours regularly worked. For ...

Triwill Group

Staff Data Analyst

Austin, TX · On-site

$150 - $200/hr

You 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 ...

New

BMO Capital Markets

Sr. Data Analyst

Chicago, IL · On-site

$65K - $140K/yr

Data Analytics & Reporting Build trusted data. Shape the future with AI. We're looking for a ... Salaries for part-time roles will be pro-rated based on number of hours regularly worked. For ...

Aplaro Ltd

$100 - $125/hr

Data Analytics & Reporting Build trusted data. Shape the future with AI. We're looking for a ... Salaries for part-time roles will be pro-rated based on number of hours regularly worked. For ...

New

ReSource Pro

NY · On-site

$60 - $80/hr

Come Join ReSource Pro! Your Role... ReSource Pro is seeking a Lead Analyst, Financial Data Compliance to serve as the senior subject matter expert for financial data call and bureau reporting ...

BMO Financial

Sr. Data Analyst

San Ramon, CA · On-site

$65K - $140K/yr

Data Analytics & Reporting Build trusted data. Shape the future with AI. We're looking for a ... Salaries for part-time roles will be pro-rated based on number of hours regularly worked. For ...

Bank of Montreal

Sr. Data Analyst

San Ramon, CA · On-site

$65K - $140K/yr

Data Analytics & Reporting Build trusted data. Shape the future with AI. We're looking for a ... Salaries for part-time roles will be pro-rated based on number of hours regularly worked. For ...

SAIF

Senior Claims Data Analyst

Salem, OR · On-site

$86K - $109K/yr

As our new senior claims data analyst, you'll be performing high-level analytical functions that ... Serve as a consultant and resource for internal and external claims management information, pro ...

SAIF

Senior Claims Data Analyst

Salem, OR · On-site +1

$86K - $109K/yr

As our new senior claims data analyst, you'll be performing high-level analytical functions that ... Serve as a consultant and resource for internal and external claims management information, pro ...

MDAEdge

Power BI Financial Data Analyst

Louisville, KY · On-site

... Pro - Writes complex queries (T-SQL, stored procedures, PIVOT) to feed dashboards • Finance ... data analysis Preferred : • Experience with Microsoft Fabric (Lakehouse/Warehouse, Data Factory ...

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How much do data analyst pro jobs pay per year?

As of Sep 9, 2026, the average yearly pay for data analyst pro in the United States is $82,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $97,000.00 per year, depending on experience, location, and employer.

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Staff Data Analyst

Austin, TX • On-site

Self Financial
Finance and Insurance • 201 - 500 employees
Learn more about Self Financialexternal

Full-time

Medical, Dental, Vision, PTO

Posted 6 days ago

Job 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.
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.
Our 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.
Role Summary:
Self 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.
You 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.
You 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.
What you will do:
  • 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.
  • 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.

Who You Are:
  • Outcome & 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.
  • 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.
  • Hungry 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.
  • Thrives in Ambiguity: You are comfortable navigating complex, sometimes undefined problems and can bring structure and clarity to ambiguous situations in a fast-paced environment.
  • Real 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.

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.

Preferred 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 About the Role:
  • 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.
  • Challenging Problems: You'll tackle complex analytical challenges related to customer behavior, segmentation, and optimization in a fast-paced, data-rich environment.
  • Strategic Partnership: Work closely with marketing and product leaders, acting as a trusted advisor to drive growth and improve the customer experience.
  • Growth Opportunities: This Staff role offers the chance to lead significant projects, mentor others, and contribute to the strategic direction of the Analytics team.
  • Meaningful 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.

Base 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.
Benefits and Perks:
We 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.
Our perks include:
  • 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
  • Casual dress code
  • Team building events and activities
  • Hybrid work arrangements/schedules
  • Paid parental leave

Self Financial requires all employees hired to successfully pass a background check.
We are an Equal Opportunity Employer.
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.

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