Senior Business & Data Analyst

About the role

We are looking for a Senior Business and Data Analyst who wants to help build something, not just run it. You will serve as a strategic analytics partner to business leaders across Flex Pay and the broader Upgrade commercial organization. That means owning executive-level deliverables, shaping how the team operates, and having a real say in where analytics goes next.

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.
• 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.
• A 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.

Qualifications

• BS/BA degree in Computer Science, Statistics, Mathematics, or related field.
• 5+ years of relevant experience in data analysis, business intelligence, or a similar field.
• Proven ability to analyze large datasets and derive actionable insights.
• Experience working with large-scale data warehouses and data engineering tools.
• Strong communication and presentation skills, with the ability to convey complex data-driven insights to non-technical audiences.
• Experience with machine learning and predictive analytics is a plus.

Skills

• Advanced SQL proficiency including complex joins, CTEs, window functions, and query optimization.
• Experience with Tableau, Microsoft Excel, Redshift, and Databricks.
• Use of AI tools like Claude or ChatGPT as a real part of the analytical workflow.
• Statistical analysis, forecasting methodologies, and data modeling.
• Ethical and responsible use of data and analytics.

Benefits

• Competitive salary
• 100% paid coverage of medical, dental, and vision insurance
• Flexible PTO
• Competitive 401(k) opportunities
• Professional growth and development opportunities
• Paid parental leave
• Health & wellness initiatives

Pay

The compensation range of this position in San Francisco, CA is USD $100,000-$125,000 plus equity and benefits. Within this range, an individual's pay will be dependent on a variety of factors, including without limitation, job-related knowledge, skills, education, and experience.

Schedule

Full-time

Location

San Francisco, CA