Data Scientist

AEP

Shreveport (LA)

On-site

USD 88,000 - 110,000

Full time

5 days ago
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Benefits offered by this job

Generous time off
Competitive pay
Educational opportunities

Job summary

AEP is seeking a data analytics professional to conduct intermediate analysis across data types, uncover patterns, and support decision making. You will mine, audit, aggregate, validate, and reconcile data, build reports, and create dashboards using SQL, R, Python, Excel, Hadoop, Tableau, SAS, SPSS, and more.

Responsibilities include developing predictive components, collaborating with stakeholders to define requirements, and delivering written reports and presentations.

Qualifications

  • Bachelor's degree in mathematics, OR/Statistics, OR data science or related field.
  • 2 years of relevant work experience required or combination of education/experience.
  • Strong knowledge in SQL, Power BI, PeopleSoft, Cognos BI, and variance analysis.

Responsibilities

  • Develop analytical tools to solve business problems and provide BI.
  • Identify data sources and acquire data for meaningful analyses.
  • Develop predictive and prescriptive components to optimize operations.
  • Create dashboards and visualizations to enhance data understanding.
  • Collaborate with stakeholders to determine value of analyses.
  • Produce concise reports and oral presentations for management.

Skills

Data mining
Data auditing
Aggregation
Validation
Reconciliation
Reporting
Hypothesis testing
Data visualization
SQL
R
Python
Excel
Tableau
Power BI
Cognos
SAS
SPSS
Hadoop

Education

Bachelor's degree in mathematics, operations research, statistics, economics, data science, computer science or related technical field

Tools

SQL
R
Python
Excel
Hadoop
Tableau
Power BI
PeopleSoft
Cognos
SAS
SPSS

Job description

Job Summary

Responsible for conducting intermediate analysis on various data types to uncover hidden patterns and unknown correlations to support business and management decisions. This includes data mining, data auditing, aggregation, validation, and reconciliation. Build reports for management as well as conducts basic hypothesis tests (contextualize basic levels of complexity). Utilizes analytics and statistical software such as SQL, R, Python, Excel, Hadoop, Tableau, SAS, SPSS, and others to perform analysis and interpret data. Create visual dashboards.

Job Description

***Must be authorized to work for any employer without restrictions or special permits. This job posting does not support visa sponsorship or STEM Optional Practical Training (OPT)***

What You'll Do:

  • 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 presentations. 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.

What We’re Looking For:

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

Experience: 2 years of relevant work experience is required. An equivalent combination of education and related experience may be considered.

Strong knowledge in SQL Database Management, Power BI, PeopleSoft, Cognos Business Intelligence, and Variance analysis with prior utility company experience.

OTHER REQUIREMENTS:

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

What You’ll Get:

In addition to a competitive compensation, AEP offers a unique comprehensive benefits package that aims to support and enhance the overall well-being of our employees.

Where Putting the Customer First Powers Everything We Do!

At AEP, we’re more than just an energy company — we’re a team of dedicated professionals committed to delivering safe, reliable, and innovative energy solutions. Guided by our mission to put the customer first, we strive to exceed expectations by listening, responding, and continuously improving the way we serve our communities. If you're passionate about making a meaningful impact and being part of a forward-thinking organization, this is the company for you!

“AEP offers an outstanding group of people to be a part of. The AEP culture values your integrity and awards your hard work.”

Responsible for performing complex strategic analysis for the Transmission Development team including: researching and performing competitive and market analysis, evaluating new business models, performing financial analysis and modeling, supporting business responsibilities associated with current and potential future strategic investments, supporting development of annual business plans, strategic recommendations, business tactics, operational and financial improvement, and preparation of management presentations.Overall purpose of this broad role is to support the Transmission Development team to enhance shareholder value through coordinating execution plans for growth opportunities, implementing processes to invest and manage risk, coordinating multi-disciplinary groups (i.e., operating companies, commercial teams, planning, regulatory, communications, accounting, tax, finance, etc.) for Transmission development requirements and goals.

AEP offers generous time off, competitive pay, and educational opportunities to help employees advance their careers.

Our culture is purpose-driven and team-oriented: we combine innovation with a customer-first focus to deliver reliable energy and brighter futures.

Compensation

$87,633.00 - $109,543.00

Physical Demands

The Physical Demand Level for this job is: S – Sedentary Work: Exerting up to 10 pounds of force occasionally (Occasionally: activity or condition exists up to 1/3 of the time) and/or a negligible amount of force frequently. (Frequently: activity or condition exists from 1/3 to 2/3 of the time) to lift, carry, push, pull or otherwise move objects, including the human body. Sedentary work involves sitting most of the time but may involve walking or standing for brief periods of time. Jobs are sedentary if walking and standing are required only occasionally, and all other sedentary criteria are met.

Equal Employment Opportunity

It is hereby reaffirmed that it is the policy of American Electric Power (AEP) to provide Equal Employment Opportunity in all respects 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 (including pregnancy, gender identity, and sexual orientation), national origin, age, veteran or military status, disability, genetic information, or any other basis prohibited by applicable law. When required by law, we might record certain information or applicants for employment may be invited to voluntarily disclose protected characteristics.

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