Data Scientist, Analytics & Dashboards

AEP

Shreveport (LA)

In loco

USD 88.000 - 110.000

Tempo pieno

2 giorni fa
Candidati tra i primi

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Vantaggi offerti da questo lavoro

Generous time off
Competitive pay
Educational opportunities

Descrizione del lavoro

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.

Competenze

  • 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.

Mansioni

  • 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.

Conoscenze

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

Formazione

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

Strumenti

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

Descrizione del lavoro

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.

Ottieni la revisione del curriculum gratis e riservata.

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