**Job Posting End Date** 03-05-2025 Please note the job posting will close on the day before the posting end date **Job Summary** This position is responsible for working on data analysis projects that gather and integrate large volumes of data, performs analysis, interprets results, and develops actionable insights and recommendations for use across the company. This includes data mining, data auditing, aggregation, validation, reconciliation, and visualization. This position must have a working knowledge of analytics and statistical software such as SQL, R/Rshiny, Python, SAS, PowerBI, Excel, and others to perform analysis and interpret data. Apply statistics, computer science, and business analytics skills to conduct studies and develop advanced analytical tools to aid in solving high-value business problems across AEP. Communicate effectively with stakeholders to identify risks/opportunities with data-driven insights. Develop predictive and prescriptive systems to optimize operations and support strategic initiatives, using cutting edge information technology and data science methods. Design and deliver clear and succinct messages utilizing appropriate visualization methods to support management decision making. **Job Description** **ESSENTIAL JOB FUNCTIONS:** **Develop moderately complex analytical tools to solve high-value business problems across AEP - working on moderately complex projects:** + Proficiently utilize analytical tools and data management skills to provide actionable business intelligence. + Acquire business knowledge across the organization and utilize knowledge to devise meaningful analyses + Identify and acquire data pertinent to solving a business problems + Develop components of predictive and prescriptive systems to optimize operations and support strategic initiatives + Apply data visualization tools to large data sets to enhance data understanding + Perform research to keep abreast of industry practices. **Consult with business unit partners to identify, prioritize, and develop actionable, insight providing analyses across a variety of core business areas:** + Utilize inquiry skills to obtain a clear understanding of business processes and needs. + Work with stakeholders to determine value that additional information derived from proper analyses could provide + Collaborate with Information Technology partners to develop data acquisition and data management practices. **Essential function: Provide meaningful, concise reporting of analytic results:** + Develop concise meaningful written reports and provide oral presentation of information. + Develop reporting dashboards that meet business needs for status, trends, and variances + Collaborate with IT and business units to operationalize meaningful reports and dashboards. **MINIMUM REQUIREMENTS:** **Education:** Bachelor's degree in mathematics, operations research, applied statistics, economics, data science or a related quantitative discipline. **Experience:** 2 years of relevant work experience is required. An equivalent combination of education and related experience may be considered. **Preferred Requirements:** + Experience with analytics packages, such as SAS, R, SPSS + Proficiency with analytic software packages such as R, Rshiny, SAS + Strong knowledge of SQL and experience with relational and non-relational databases + Ability to apply strong analytical and complex problem solving and critical thinking skills + Excellent oral and written communication skills. + Strong teamwork skills, with a self-starter mentality and ability to work independently + Meticulous attention to details + **On-site work model** (5 days in office) **Compensation Data** **Compensation Grade:** SP20-007 **Compensation Range:** $85,081.00-106,352.50 USD **Hear about it first!** Get job alerts by email. Log in to your Candidate Home Account today! If you don't have an account, you can create one. It is hereby reaffirmed that it is the policy of American Electric Power (AEP) to provide Equal Employment Opportunity in all aspects of the employer‐employee relationship including recruiting, hiring, upgrading and promotion, conditions and privileges of employment, company sponsored training programs, educational assistance, social and recreational programs, compensation, benefits, transfers, discipline, layoffs and termination of employment to all employees and applicants without discrimination because of race, color, religion, sex, age, national origin, ethnicity, ancestry, veteran or military status, disability, genetic information, sexual orientation, gender identity, or any other basis prohibited by applicable law. When required by law, we must record certain information to be made part of an Affirmative Action Plan. Applicants for employment may also be invited to participate in the Affirmative Action Program by self-identifying their Race or Ethnic Identity.