Programming Data Analyst

NATIONAL GAS & OIL CO•Newark, OH

2d•Onsite

About The Position

The Energy Cooperative, headquartered in Newark, Ohio, serves over 72,000 electric, natural gas and propane members throughout east-central Ohio. As a non-profit cooperative, we are member-owned and controlled by the members we serve. We are committed to serving our members safe, high quality energy services at a reasonable price. We believe in our employees and strive to provide fair, honest and equal treatment with a commitment to training, education, and opportunity for advancement in a safe and secure environment. At The Energy Cooperative, we take pride in offering competitive benefits and want our employees to have what they need to be their best. We are currently looking to fill the position of Data Analyst based at our Newark, OH Headquarters. This exempt position is responsible for leading the cooperative’s efforts in leveraging artificial intelligence (AI), machine learning (ML) and advanced data analytics to support and improve efficiencies of the cooperative. The AI Data Analyst works across departments to collect and analyze data, build predictive models, and deliver actionable insights through dashboards and reports.

Requirements

Bachelor’s degree in Data Science, Computer Science, Engineering, or a related field, or an equivalent combination of education, experience and training.
Minimum of 3 years of experience in data analytics, business intelligence, or AI/ML development (utility or energy sector experience preferred).
Hands on experience in SQL, Python/R, and AI/ML frameworks (TensorFlow, PyTorch, or Scikit-learn, etc.).
Strong understanding of statistical analysis, machine learning, and data visualization tools (e.g., Power BI, Tableau).
Valid Ohio Driver’s License.
Must have the ability to attend meetings and/or training seminars when requested.
Has the functional and technical knowledge and skills to do the job at a high level of accomplishment and professionalism.
Excellent communication, analytical, and organizational skills.
Ability to explain technical findings to non-technical staff.
Is a good listener and actively engages in conversations to clearly understand others’ messages and intent.
Is easy to approach and talk to and spends the extra effort to put others at ease.
Thorough understanding of Cooperative’s goals and objectives.
Displays high standards of ethical conduct and is widely trusted and viewed as a direct and truthful person.
Remains calm under pressure and does not become defensive or irritated when times are tough.
Knows personal strengths, weaknesses, opportunities and limits and is open to criticism and is not defensive.
Must be available to work during non-working hours, which may include weekends and holidays.
This position is subject to pre-employment physical and substance abuse testing and may be subject to random testing in accordance with the Cooperative’s substance abuse policy.

Nice To Haves

Familiarity with utility data systems (e.g., SCADA, AMI, GIS, OMS) is a plus.
Experience with energy forecasting, grid analytics, or DER (Distributed Energy Resources) modeling.
Knowledge of cloud platforms (Azure, AWS) and MLOps practices.

Responsibilities

Under the direction of the CIO, develop and execute the cooperative’s AI strategy aligned with the cooperative’s board goals and strategic plans.
Serve as the cooperative’s subject matter expert in AI and data-driven technologies.
Analyze a variety of data to uncover trends, inefficiencies, and opportunities for improvement.
Develop and apply AI/ML models to support predictive maintenance, load forecasting, outage management, and member engagement.
Collaborate with engineering and operations teams to integrate AI into grid modernization and smart infrastructure initiatives.
Create intuitive dashboards and reports to communicate insights to both technical and non-technical stakeholders.
Ensure data quality, security, and compliance with cooperative and regulatory standards.
Conduct document reviews to extract, validate, and analyze data from internal reports, regulatory filings, and technical documentation.
Stay informed on emerging AI technologies and their potential applications in the utility industry.
Provide technical support and training to staff on the use of analytics tools and dashboards.
Perform other related work in addition to other duties as may be assigned.