We operate as a leading multi-unit Massage Envy franchisee, managing over 130 locations within a nationally recognized wellness brand. Our private equity partners have recognized our analytics and management oversight capabilities as among the strongest in their portfolio- and we are continuing to invest to push that advantage even further. 

We have built a mature, enterprise-grade data warehouse and analytics environment, and we are now focused on expanding, developing new insight modules, scaling performance, and leveraging AI-driven tools to unlock deeper, more actionable intelligence.

We are hiring a Senior Business Intelligence & Analyst to play a central role in that evolution. In this role, you will enhance an already strong foundation- building new dashboards, advancing our data model, and driving the next generation of analytics, including customer insights, revenue optimization, and workforce intelligence. 

You will operate as a high-impact individual contributor, owning BI execution while partnering across the business with external data engineering teams to scale capabilities and deliver meaningful insights. 

Key Responsibilities:

Business Intelligence & Dashboard Development 

• Design, build, and enhance Power BI dashboards that drive operational and executive decision-making  
• Expand existing analytics by developing new insight modules, including customer engagement, member acquisition, and revenue optimization  
• Translate business needs into clear requirements, wireframes, and scalable reporting solutions  
• Partner with operations, finance, payroll, and leadership to deliver actionable, data-driven insights  
• Drive dashboard usability, adoption, and continuous improvement  

Data & Warehouse Optimization 

• Partner with third-party data engineering teams (India-based) to:  
• Improve Azure SQL data warehouse scalability, performance, and efficiency  
• Optimize table structures and data models to support evolving analytics needs  
• Troubleshoot data issues and resolve performance constraints proactively 
• Promote continuous improvement of the data environment to support increasing data volume and complexity  
• Design and maintain data models (star schema, dimension modeling, fact tables) 
• Write efficient SQL queries to ensure Power BI dashboard performance 
• Build reusable datasets and views for broader consumption 
• Build forecasting models, cohort analyses and trend projections 

Data Pipeline & Process Ownership 

• Oversee automated ETL processes integrating data from MEEVO, Paylocity, Sage Intacct, Zoho, and Empower  
• Support payroll processes by ensuring accurate extraction, validation, and loading of:  
• Service hours  
• Commissions (memberships, enhancements, retail)  
• Tips  
• Implement and maintain data quality controls and validation frameworks  

Operational Monitoring & Reliability 

• Ensure automated daily production of ~100K reports across 130 locations runs accurately, reliably, and on schedule  
• Identify and resolve data latency, capacity constraints, and system issues  
• Manage exceptions and continuously improve automation performance and reliability 

Roadmap & Stakeholder Management 

• Own and continuously refine the BI and analytics roadmap  
• Prioritize and deliver initiatives aligned to business goals, including:  
• Incremental revenue insights  
• Employee performance, compensation, and productivity analytics  
• Revenue and deferred revenue reporting  
• Inventory analytics  
• Customer Insights and engagement analytics  
• Manage stakeholder expectations, communicate progress, and adjust priorities as needed  

AI, Automation & Advanced Tools 

• Write and leverage SQL and Python to support data transformation and automation  
• Use LLM/AI tools to accelerate dashboard development, ETL workflows, and insight generation  
• Explore and implement AI-driven enhancements to deliver more predictive and actionable analytics  

Required: 

• 5 - 7+ years of experience in Business Intelligence, Analytics, or related roles  
• Advanced expertise in Power BI (or comparable BI tools)  
• Strong experience working in SQL-based data warehouse environments (Azure preferred)  
• Experience managing ETL processes and automated data pipelines  
• Ability to translate business needs into scalable technical solutions  
• Experience coordinating with cross-functional stakeholders and external vendors  
• Strong analytical thinking and problem-solving skills  
• Willingness to collaborate with offshore teams, including flexibility in working hours when needed  

Preferred: 

• Experience in multi-unit retail, franchise, or service-based environments  
• Familiarity with MEEVO, Paylocity, Sage Intacct, Zoho, or similar systems  
• Experience writing Python scripts for automation or data processing  
• Experience leveraging AI/LLM tools to improve productivity and output quality  

Success Metrics (MBOs):

• Deliver accurate, on-time automated reporting across all locations  
• Improve data quality and reliability through strong validation controls  
• Enhance data warehouse performance and scalability  
• Deliver actionable insights that drive revenue, labor optimization, and operational performance  
• Execute and evolve the BI roadmap, including new analytics modules  
• Increase adoption and impact of dashboards across the organization  

Work Environment:

• Hybrid role based in Tempe, AZ: 1400 E. Southern Ave, Tempe, AZ, 85252  
• Work onsite Tuesday - Thursday, remote Monday and Friday  
• Collaborate with offshore teams as needed, with occasional flexibility in working hours  
• Pay Range: $90,000 - $110,000 Annually DOE