Senior Data Analyst, Data Analytics
Senior Data Analyst to own data models, ensure analytics quality, and deliver insights for a consumer fintech. Requires 5+ years analytics experience and 2-3 years in fintech with advanced SQL, dbt, Looker, and Python.
About the job
Responsibilities
- Own and evolve core data models, ensuring the analytics layer accurately reflects business logic across the company’s unit economics model
- Partner directly with leadership and cross-functional teams (Product, Engineering, Finance) to scope, prioritize, and deliver data-driven initiatives
- Own data quality and reliability across the analytics platform - defining standards, implementing tests, and ensuring models are trustworthy
- Provide clear, actionable insight to stakeholders on business performance, customer behaviour, and metric trends
- Take ownership of reconciliation workflows, cross-checking mart outputs against source systems
- Support the broader team with ad hoc analytics requests
- Build and maintain dashboards, reports, and Looker explores that track KPIs across product, finance, and operations
Requirements
- 5+ years in a data analytics role with ownership of multiple concurrent workstreams and high autonomy
- 2–3 years in consumer-facing fintech, digital banking, payments, or lending environment working with transactional data, product metrics, and customer behavior at scale
- Proven track record taking analytical projects from scoping through delivery
- Strong written and verbal communication; comfortable presenting to non-technical stakeholders and leadership
- Advanced SQL in a cloud data warehouse (Snowflake, BigQuery, or Redshift) - window functions, CTEs, complex joins
- Hands-on experience with dbt or comparable transformation tool
- Working knowledge of Looker or comparable BI/semantic layer
- Python for scripting and automation
Nice-to-Haves
- Familiarity with Unit Economics concepts - ARPU, contribution profit, cohort LTV, interchange
- Experience working in environments where data accuracy and auditability matter
- Experience building explorers, views, or governed metric layers
- Experience contributing to roadmaps and running cross-functional workstreams
Compensation & Benefits
- Base salary range: $150,000-$200,000
- Equity in the form of stock options
- 401(k) plan
- Discretionary performance bonus program
- Biannual performance reviews
- Medical, Dental and Vision premiums covered at 100% for you and your dependents
- Flexible time off and paid holidays
- Generous parental leave policy
- Commuter benefits
- Fitness benefits
- Healthcare and Dependent care FSA
- Employee Assistance Programs
- Healthcare advocacy program
- Access to mental health apps
- Team building activities
Skills
SQL, Snowflake, BigQuery, Redshift, dbt, Looker, Python, Data Modeling, Data Quality, Dashboarding
Similar jobs
Data Analytics jobsOwn retention and SaaS analytics for SpotOn’s merchant business, uncovering churn and adoption drivers and building trusted reporting for executive and cross-functional decisions. The role requires 5+ years of analytical experience, advanced SQL, cloud data warehouse expertise, and strong business communication.
This role combines data analysis and dbt-based data modeling to improve growth, monetization, pricing, and product-led sales initiatives. It requires 8+ years in an analytical data role, strong SQL and dbt knowledge, and experience with data warehouses and ELT pipelines.
Leads marketing analytics for global performance campaigns by developing measurement approaches, optimizing acquisition through data, and translating complex analyses into actionable marketing decisions. Requires a STEM bachelor’s degree, strong SQL and visualization skills, and experience with digital campaign data.
Senior Data Analyst supporting Sales, Marketing, and Customer Success through GTM analysis, data modeling, and decision support. The role requires 5+ years of analytics experience, expert SQL and dbt, Python, Salesforce, and familiarity with modern BI and AI-assisted workflows.
The Senior Data Analyst will build People analytics models, metrics, dashboards, and decision frameworks across the employee lifecycle. The role requires 5+ years of analytical experience, advanced SQL and data modeling, strong business intelligence skills, and excellent stakeholder communication.