Senior Business & Data Analyst

Upgrade, Inc. is a company focused on providing affordable and responsible financial products to improve customers' financial well-being. They are seeking a Senior Business and Data Analyst to serve as a strategic analytics partner, transforming complex data into actionable insights and driving smarter business decisions.

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
• 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