Apply qualitative and quantitative data analysis methods to business analytics problems.
Create data visualization mockups and prototypes; document work processes and demonstrate products to technical and non-technical audiences.
Interpret data models and work with a variety of data sources and structures.
Translate customer requirements into project or system specifications.
Transform, manipulate, and combine data using Python or similar programming languages.
Prepare and visualize data using Tableau, Power BI, Tableau Prep Builder, Excel, and SQL.
Collaborate with sponsors and stakeholders and follow sponsor data handling procedures.
Use APIs and version control (GitHub) to produce reproducible analysis artifacts.
Requirements
Demonstrated experience in two or more of the following disciplines: business analytics, statistics, data verification and validation, and data visualization.
Demonstrated experience applying qualitative and quantitative data analysis methods to business analytics problems.
Demonstrated experience creating data visualization mockups, prototypes of visualizations, documenting work processes and effectively demonstrating products to technical and non-technical audiences.
Demonstrated experience interpreting data models and working with a variety of data sources and structures.
Demonstrated experience translating customer requirements into project or system specifications.
Demonstrated experience with strong interpersonal and communications skills.
Demonstrated experience as a self-starter with the ability to decomposing ambiguous problems into actionable plans.
Demonstrated experience using Tableau, Power BI, or similar interactive data visualization software.
Demonstrated experience transforming, manipulating, and combining data using a programming language such as Python.
Demonstrated experience using a data preparation tool such as Tableau Prep Builder.
Demonstrated experience using Excel and SQL.
Desired: Demonstrated experience with data derived from technical missions, taskings, collection, processing, analysis, or dissemination.
Desired: Demonstrated experience working with Sponsor business or mission data, Sponsor applications, or Sponsor database structures.
Desired: Demonstrated experience with the Sponsor’s data handling procedures.
Desired: Demonstrated experience with visualization tools such as Jupyter, Visio, Sharepoint, or Confluence.
Desired: Demonstrated experience with APIs.
Desired: Demonstrated experience using GitHub or similar version control systems.
Desired: Demonstrated experience using Python or R.
Education: Bachelor's Degree in Business analytics, Statistics, Data Analytics, Computer Science, or Information Systems (or 4 years of relevant data analysis experience with the IC or military may substitute in lieu of degree).