Senior Business & Data Analyst
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Job Description
Senior Business Analyst at Upgrade transforming complex data into clear insights for strategic decisions. Collaborating across teams to drive performance and influence business strategy through analytics.
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.
Benefits:
- Competitive salary
- 100% paid coverage of medical, dental and vision insurance
- Flexible PTO
- Competitive 401(k)
- Opportunities for professional growth and development
- Paid parental leave
- Health & wellness initiatives
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