Senior Data Analyst

About the role

This is an open position with FirstEnergy Service Co., a subsidiary of FirstEnergy Corp. [FEU]. The position is within Construction & Design Services and reports to the Supervisor or Reporting and Metrics in Program Support within the Construction and Design Services(C&DS) organization. It can be located throughout the service territory and will be considered an in-office position.

Responsibilities

• Understand of business and technology organizations, resources, priorities, needs, and policies.
• Forge relationships with C&DS business teams to develop customized business tools, visualizations and predictive and prescriptive models that continuously improve the execution of the capital portfolio.
• Ensure appropriate measurement points and values are established.
• Collaborate with IT, C&DS Systems, Data Governance and business stakeholders to streamline access and build customized products.
• Develop predictive and prescriptive models using statistical techniques, software, and machine learning algorithms to forecast future trends and outcomes.
• Respond to ad-hoc reports/data requests from internal and external sources.
• Develop reports using platforms such as Oracle BIP, Toad Database, RapidMiner, Python, and other tools such as Power BI.
• Build and maintain data models to enable and improve data-driven decision-making.
• Mine complex data sets to identify patterns and trends.
• Advise and consult with C&DS and business stakeholders to review, refine, and improve business processes and practices based on an understanding of data.
• Help drive the use of data warehouses for insights and predictive analytics.

Qualifications

• Bachelor’s degree in Data Science, Statistics, Mathematics, Computer Science, Engineering or related field with minimum 10 years of relevant work experience.
• Relevant work experience includes business strategy, project / construction management or engineering.
• Specific experience in business analytics reporting & visualizations is essential.
• Demonstrated proficiency in processing, manipulating, and generating insight from large data sets of structured and unstructured data.
• Experience in the implementation of complex programs and projects.
• Knowledge of statistical methods, predictive modeling techniques, and data mining algorithms is highly valuable.
• Understanding of statistical analysis to ensure metrics are accurate and meaningful.
• Proficiency in programming languages such as Python, R, or SQL.

Pay

The estimated pay range for this role is $111,350-$157,200. The pay range for certain locations, including the state of New Jersey, include a 20% differential to account for an increased cost of living, making the pay range $133,620 - $188,640.