Data Analytics Manager

SECO Energy•Sumterville, FL

59d

About The Position

The Data Analytics Manager leads SECO's enterprise data strategy to support grid modernization, renewable integration, and operational excellence. This role oversees development of advanced analytics, dashboards, forecasting models, and data pipelines that transform raw operational data into actionable intelligence. The manager establishes data governance frameworks, ensures data integrity, and enables data-driven decision-making across all departments. Partnering closely with IT, accounting, engineering, operations, and strategy teams, this position drives adoption of analytics tools, builds organizational data literacy, and fosters a culture of evidence-based planning to enhance grid reliability, optimize DER dispatch, and support corporate strategic initiatives.

Requirements

Minimum: Four (4) year bachelor's degree in data science, Computer Science, Engineering, or related field (master's preferred)
Minimum: Five plus (5+) years in utility or energy analytics roles, including supervisory experience
Extensive experience in data governance frameworks, including defining data standards, stewardship roles, and implementing metadata management and cataloging tools.
Advanced proficiency in data engineering and architecture, with expertise in developing secure, scalable data pipelines and cloud-based platforms such as Azure or AWS.
Strong background in advanced analytics and machine learning, including development of predictive models, time-series forecasting, and model validation using tools like Python and R.
Expertise in business intelligence and reporting tools, including Power BI or Tableau, with the ability to translate complex datasets into actionable insights and standardized KPIs.
Thorough knowledge of data privacy, cybersecurity, and regulatory compliance standards, such as NERC CIP and NIST, ensuring secure and compliant data operations.
Ability to operate a variety of office equipment, including a personal computer, printers, copy machines and telephone.
Ability to work irregular hours for assignment completion and flexibility to change scheduling and report to work on short notice during emergency situations.
Normal work hours will be eight (8) hours Monday through Friday, between 6:00 am to 6:00 pm.
Successful completion of pre-employment background check, physical and drug screen.

Nice To Haves

Certified Analytics Professional (CAP) or equivalent
Microsoft Certified: Azure Data Scientist or Data Engineer Associate
DAMA Certified Data Management Professional (CDMP)
PMP certification a plus
Strong understanding of operational and customer data from AMI, OMS, DERMS, and GIS
Proficiency in SQL, Python, and BI tools (Power BI, Tableau)
Experience with data governance, data architecture, and advanced analytics development
Experience within an electric utility or related industry.

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