Senior Business & Data Analyst

Upgrade; United States; On-site; USD 80,000 - 110,000; Full time

Benefits offered by this job

Stock option plan

100% paid coverage of medical, dental and vision insurance

Flexible PTO

Paid parental leave

Opportunities for professional growth and development

Health & wellness initiatives

Job summary

Upgrade is searching for a Senior Business and Data Analyst to serve as a strategic analytics partner to business leaders. You will transform complex data into actionable insights and improve operational performance.

The ideal candidate has advanced SQL skills, experience with data governance, and is skilled in statistical analysis and forecasting methodologies. Benefits include a stock option plan, comprehensive health insurance, and opportunities for professional growth.

Qualifications

• Skilled at connecting metrics to business outcomes.
• Solid foundation in statistical analysis and forecasting methodologies.
• Ability to present technical analysis to C-suite leaders.

Responsibilities

• Transform complex data into clear, actionable insights.
• Conduct advanced data analysis and trend identification.
• Design executive dashboards and interactive reports.

Skills

Advanced SQL proficiency

Statistical analysis

Data modeling

Experience with Tableau

Experience with Microsoft Excel

ETL/ELT concepts

Use of AI tools

Tools

Redshift

Databricks

Job description

• 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
• You will transform complex data into clear, actionable insights, drive smarter decisions, improve operational performance, and shape business strategy through analytics
• Analytics and Business Intelligence:
• 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
• SQL and Data Engineering:
• 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
• Forecasting and Reporting:
• 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
• Business Partnership and Executive Communication:
• 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

Benefits

• Stock option plan
• 100% paid coverage of medical, dental and vision insurance
• Flexible PTO
• Paid parental leave
• Opportunities for professional growth and development
• Health & wellness initiatives

Qualifications

• Familiarity with ETL/ELT concepts and data warehouse design
• 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
• Skilled at connecting metrics to business outcomes and identifying key performance drivers
• Strong foundation in statistical analysis, forecasting methodologies, and data modeling
• Experience with Tableau, Microsoft Excel, Redshift, and Databricks
• Advanced SQL proficiency including complex joins, CTEs, window functions, and query optimization