Sr. Data / Operations Analyst (Hybrid / 80% in Office)

Our full spectrum of best-in-class services includes HVAC & refrigeration installations, remodels, service & maintenance; and energy solutions, including controls and lighting. We serve customers in the retail, commercial, food service, educational, healthcare, and industrial markets.     

WHY JOIN US   

We understand that hiring great people is the foundation of everything we do. Our employee benefits packages include:   

• Competitive pay 
• Medical, Dental, Vision and Prescription coverage 
• Paid vacation and holidays
• 401(K) match
• Life insurance, AD&D and long-term disability 
• Tuition reimbursement 
• Opportunities available nationwide
• Employee discounts on vehicles, hotels, theme parks, select cell phone bills and so much more. 
• Pet Insurance 
• Legal Plan, and ID Theft Protection 
• Pay range from $80,000 to $110,000.

JOB SUMMARY

The Sr. Data Analyst supports the division by creating reports and dashboards pertaining to the business (Sales, Financial, Customer Service, and Operations) to support organizational decision making. Develops plans and reports for organizational leaders and analyzes trends and makes recommendations based on those trends. While develop and manage process to provide data quality 

ESSENTIAL RESPONSIBILITIES  

• Manages and analyzes data on the performance of clients.
• Fields questions about reporting systems and reports that are used by operations.
• Develops technical understanding of the HVAC/R industry to act as a resource to business users.
• Supports the maintenance of the online platform (FastField, etc.) utilized by various departments.
• Works with management to prioritize business and information needs.
• Develops standard and ad-hoc reports and presentations to support the dynamic nature of the business.
• Other duties as needed.

JOB REQUIREMENTS  

• Strong experience working with the Microsoft Suite (PPT, Excel, Word)
• 3+ years SQL query is a must.
• Data visualization PowerBI experience.
• Preferred experience with Python.
• Excellent problem solving, written and verbal communication skills.
• Flexibility and ability to deal with ambiguity.
• Ability to work within a team environment in a collaborative setting.

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