Upgrade, Inc. is a leading fintech company focused on improving customers' financial well-being through innovative products. They are seeking a Senior Business and Data Analyst to serve as a strategic analytics partner, transforming complex data into actionable insights and influencing business strategy across the organization.
Responsibilities:
- Conduct advanced data analysis, mining, and trend identification to surface meaningful business insights
- Develop and maintain KPIs, performance management frameworks, and data quality standards
- Perform root cause analysis, statistical hypothesis testing, and predictive and prescriptive analytics
- Own data governance and quality assessment practices
- Write and optimize complex SQL queries using CTEs, window functions, joins, and stored procedures
- Design and maintain data models, ETL/ELT pipelines, and data warehouse structures
- Perform data validation, reconciliation, and transformation to ensure analytical accuracy
- Measure and continuously improve forecast accuracy using trend analysis, seasonality analysis, and statistical methodologies
- Develop scenario models to support strategic decisions
- Design executive dashboards, scorecards, and interactive reports that tell a clear story
- Own QBR preparation and deliver findings directly to senior leadership, including the executive team. You will translate analytical work into business narratives that influence real decisions at the company level
- Build automated reporting solutions that scale across the organization
- Partner with stakeholders to gather requirements, document processes, and align on priorities
- Present technical analysis to C-suite leaders as business narratives and strategic recommendations
- Facilitate meetings, lead cross-functional collaboration, and support change management initiatives
Requirements:
- Advanced SQL proficiency including complex joins, CTEs, window functions, and query optimization
- Experience with Tableau, Microsoft Excel, Redshift, and Databricks
- You use AI tools like Claude or ChatGPT as a real part of your analytical workflow, not as a novelty. You know when to use them, how to verify their output, and how to integrate them into how you work
- Strong foundation in statistical analysis, forecasting methodologies, and data modeling
- Familiarity with ETL/ELT concepts and data warehouse design
- Skilled at connecting metrics to business outcomes and identifying key performance drivers