Data Scientist: Insightful Analytics & Dashboards

SouthWestern Electric Power Co; Shreveport (LA); On-site; USD 88,000 - 110,000; Full time

Job summary

American Electric Power (AEP) is seeking a data analyst to conduct intermediate analyses, build reports, and create dashboards to support management decisions. This role involves data mining, validation, and reconciliation across diverse data types.

You will leverage SQL, Python/R, Excel, SAS, SPSS, Tableau, Hadoop, and other tools to extract insights, validate data, and develop predictive components while collaborating with stakeholders.

Qualifications

• Education: Bachelor's 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.

Responsibilities

• Develop moderately complex analytical tools to solve high-value business problems.
• Proficiently utilize analytical tools and data management skills to provide actionable business intelligence.
• Identify and acquire data pertinent to solving business problems and develop components of predictive/prescriptive systems.
• Apply data visualization tools to large data sets to enhance data understanding.
• Develop reporting dashboards that meet business needs for status, trends, and variances.

Skills

SQL

Power BI

PeopleSoft

Cognos BI

Variance analysis

Education

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

Tools

SAS

R

SPSS

Job description

American Electric Power (AEP) is seeking a data analyst to conduct intermediate analyses, build reports, and create dashboards to support management decisions. This role involves data mining, validation, and reconciliation across diverse data types.

You will leverage SQL, Python/R, Excel, SAS, SPSS, Tableau, Hadoop, and other tools to extract insights, validate data, and develop predictive components while collaborating with stakeholders.