Data Analyst

Who we are…

We are Payactiv, a FinTech company in the heart of Silicon Valley, devoted to giving workers access to their earned wages when they need them. Payactiv is the pioneer and industry leader in Earned Wage Access. We are the only Certified B Corporation and Public Benefit Corporation in our industry. Our app provides millions with financial services that help them avoid debt, manage their finances, and regain flexibility to pay for things on their own schedule.

We are seeking a Data Analyst, based out of our Milpitas office, who is passionate about using data to drive decisions, uncover insights, and shape products that transform how people experience financial wellness. If you thrive in a fast-paced, mission-driven environment where your work directly impacts people's lives, this role is for you.

What you will do…

• Collaborate cross-functionally with product, engineering, marketing, operations, and customer teams to gather requirements, design analytical solutions, and deliver actionable insights.
• Leverage SQL and Python to query, clean, and analyze large, complex datasets, identifying trends, anomalies, and opportunities for optimization.
• Collaborate with data engineers in designing, validating, and maintaining ETL processes and data pipelines to ensure integrity, quality, and observability.
• Design and build dashboards and compelling visualizations using Sigma Computing, Tableau, or other BI tools to enable stakeholders to make informed, data-driven decisions.
• Support performance analytics and tracking efforts, creating metrics that measure product adoption, customer success, and business growth—and present findings in cross-functional meetings.
• Partner with data engineers, data scientists, and product managers to develop data products, predictive models, and ML/AI-powered analytics.
• Act as a trusted advisor to internal and external stakeholders, translating technical findings into clear, impactful insights.
• Stay on top of emerging technologies in analytics, ML/AI, and cloud computing (familiarity with Snowflake and AWS SageMaker is a strong plus).
• Maintain clear and consistent documentation, dictionaries, and KPI definitions to ensure a single source of truth across the company.

What you need…

• 2+ years of experience in data analytics or a closely related role.
• Bachelor's degree in quantitative discipline – Computer Science, Statistics, Mathematics, Data Science; Master's degree preferred.
• Proven proficiency in SQL and Python with experience in data transformation, wrangling, and analysis.
• Hands-on experience with business intelligence and visualization tools (Sigma Computing, Tableau, Looker, or Power BI).
• Experience designing, validating, and maintaining ETL processes and data pipelines.
• Exposure to machine learning concepts and tools (AWS SageMaker or equivalent) is a plus.
• Experience in SaaS, B2B software, or high-growth startups; financial technology or healthcare industry experience is a plus.
• Excellent communication skills with the ability to convey complex findings to both technical and non-technical audiences. A proactive, curious, and detail-oriented mindset with strong problem-solving abilities.

What we offer…

• Company sponsored Health, Dental, and Vision insurance
• 401K, traditional, and Roth with a company match
• Tuition Assistance or Tuition Reimbursement
• Unlimited Paid Time off
• Monthly Gym Reimbursement
• Paid time off to volunteer
• Paid Family Leave
• Complimentary office lunches
• Opportunity to grow
• Opportunity to work with a great team committed to making a difference.