Analyst II, Insights & Analytics
Role details
Job location
Tech stack
Job description
As a Data Operations Analyst II, you will take ownership of critical data workflows and serve as a strategic data partner to the Operations, Compliance, and Finance organizations. You will move beyond simple request fulfillment to designing scalable data solutions, acting as a bridge between business stakeholders and the technical BI/Analytics teams. You will be expected to identify process inefficiencies, automate reporting at scale, and mentor junior analysts in best practices.
What you will be doing:
- Own and Optimize Data Workflows - managing syncs, architecting and maintaining complex data pipelines and automation workflows. You will proactively identify bottlenecks in data delivery and implement solutions to reduce manual intervention.
- Design, build, and maintain high-impact, interactive dashboards (using tools like Looker, BigQuery etc.) that drive decision-making for executive leadership. You will be responsible for "telling the story" behind the data, not just displaying the numbers.
- Lead the definition of data quality standards. You will perform root-cause analysis on data discrepancies, implement automated alerts for anomalies, and work directly with Engineering/BI to fix upstream data issues permanently.
- Act as the primary data consultant for specific Operations, Compliance and Finance verticals.
- Lead small to medium-sized data projects from conception to delivery, managing timelines and stakeholder expectations without heavy supervision.
- Provide guidance and technical support to Analyst I team members, assisting with code reviews (SQL) and best practices for data visualization.
Requirements
Do you have experience in Tableau?, Do you have a Bachelor's degree?, * Bachelor's degree in a quantitative field (CS, Math, Economics, Engineering) or equivalent practical experience.
- 2-4 years of experience in an analytical or data operations role, ideally within Fintech, Payments, or a high-growth tech environment.
- Advanced proficiency in SQL is required (window functions, complex joins, query optimization).
- Proven expertise in building complex dashboards in Looker, Tableau, or similar.
- Basic proficiency in Python/R for scripting or data manipulation is highly desirable.
- Strong understanding of data modeling concepts (star schema, snowflake) and experience translating vague business questions into precise technical requirements.
- Ability to explain complex technical data constraints to non-technical stakeholders and negotiate scope effectively.
- You don't just fix the report; you fix the process so the report doesn't break again.