Campus Pride Jobs

Job Posting End Date

07-02-2024

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.

• Proficiently utilize analytical tools and data management skills to provide actionable business intelligence.

• Continue building and acquiring business knowledge across the organization and utilize knowledge to perform meaningful analyses.

• Identify and acquire data pertinent to solving 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.

• 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 analysis could provide.

• Collaborate with technology partners to develop data acquisition and data management practices.

• Develop concise, meaningful written reports and provide oral presentation.

• Develop reporting dashboards that meet business needs for status, trends, and variances.

• Collaborate with technology and business units to operationalize meaningful reports and dashboards of industry practices.

• Consult with business unit partners to identify, prioritize, and develop actionable insights, providing analyses across a variety of core business areas.

Minimum Requirements:

Education: Bachelor's degree in mathematics, operations research, statistics, economics, data science, computer science or related technical field is required.

Educations: Two (2) years of relevant work experience is required. An equivalent combination of education and related experience may be considered.

Other Requirements:

• Three (3) years’ experience applying quantitative, computational skills, and business analytics, which can be reduced with advanced degrees

• Two (2) years’ experience interpreting business stakeholder’s analytics needs

• 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

• Hybrid work mode (currently 3 days in office)

Preferred Qualifications:

• Master’s degree in mathematics, operations research, applied statistics, data mining, data science or a related quantitative discipline​

• Proficient in R Shiny application development, Docker image containerization, and Openshift deployment

​

• Demonstrated understanding of financial math, especially the interest rate theory

Experience with analytics packages, such as SAS, R, SPSS

Compensation Data

Compensation Grade:

SP20-007

Compensation Range:

$83,413.00-104,267.50 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.