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Manager, BI & Analytics

Job in Northern, Floyd County, Kentucky, USA
Listing for: GreyStone Power Corporation
Full Time position
Listed on 2026-10-14
Job specializations:
  • IT/Tech
    Data Analyst, Data Science Manager, Business Systems & Technology Analysis
Salary/Wage Range or Industry Benchmark: 110000 - 160000 USD Yearly USD 110000.00 160000.00 YEAR
Job Description & How to Apply Below
Manager, BI & Analytics

Job Code:

Division:
Financial & Accounting Services

FT/PT Status:
Regular Full Time

Position Based In:
Hiram

Apply Before: 10/22/2026

Job Summary:

The Manager of Analytics assists in the development and leads the execution of the cooperative’s data and analytics strategy to support reliable, cost-effective, and member-focused electric & fiber service. This role oversees data collection, transformation, analysis, and reporting functions to deliver actionable insights that inform operational, financial, and strategic decision-making. The ideal candidate will play a pivotal role in driving innovation by providing a strategic lens to data & analytics while transforming the D&A function into an innovative, business enabling function that aligns with the goals of the cooperative.

Key Responsibilities:
  • Hire, develop, and lead a high-performing team of data analysts, BI professionals, & low-code application developers.
  • Set clear performance expectations, goals, and development plans for direct reports.
  • Conduct regular performance reviews, provide coaching, and support career growth.
  • Foster a collaborative, accountable, and continuous-improvement-oriented team culture.
  • Drives continuous improvement in data governance & reporting.
  • Serves as a strategic liaison across business units, aligning teams, and helping translate business challenges into data-driven & actionable solutions.
  • Develop and execute the cooperative’s analytics and business intelligence (BI) strategy aligned with organizational goals.
  • Define, track, and refine key performance indicators (KPIs) related to system reliability (e.g., SAIDI/SAIFI), financial performance, member satisfaction, and operational efficiency.
  • Identify opportunities to leverage data to improve the member experience grid performance, outage response, load forecasting, and capital planning.
  • Transform complex datasets into actionable insights using advanced analytics, modeling, and visualization tools.
  • Design and maintain dashboards and reports (e.g., Power BI, Tableau) for leadership and operational teams.
  • Lead & support initiatives such as digital transformation, artificial intelligence (A.I), load forecasting, rate analysis, demand response insights, advanced metering, and distributed energy resource analytics.
  • Present findings and recommendations to senior leadership in a clear, concise manner.
  • Establish and enforce data governance standards to ensure data accuracy, integrity, and security.
  • Oversee data management practices across systems such as CIS, OMS, SCADA, AMI, ERP, and SaaS platforms.
  • Ensure compliance with regulatory requirements and industry standards.
  • Evaluate, implement, & oversee the use and optimization of innovative technologies to enhance analytic capabilities and efficiency such as ingestion, warehousing & transformation, catalog/metadata management, and visualization technologies.
  • Ensure scalability and sustainability of analytics infrastructure.
  • Support development of project and program budgets, active monitoring of actual vs. planned spend, and assess ROI (Return on Innovation).
  • Define and implement data-driven KPIs and dashboards to monitor health and performance of projects and teams.
  • Maintains relationships with SaaS vendors to enable continuous innovation on new product features.
  • Support end-user participation in continuous training of products and services.
  • Performs other related duties as required.
Required Education,

Knowledge, Skills and Abilities:
  • Requires a bachelor’s degree in data analytics, data science, statistics, computer science, or related field (master’s degree is preferred).
  • 5–10 years of experience in data analytics, business intelligence,

    A.I, or related field.
  • 2-5 years of experience managing and/or leading analytics…
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