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Akima

Federal contractor delivering facilities, IT, logistics

Mid-Level Data Analyst

Data Science +1Confirmed live in the last 24 hours
Full-timeIndian Head, MD, USA$105k - $120kIn-person

About the Job

Requirements

  • An Associate’s degree (AA/AS) and four additional years of related experience may be substituted for the desired Bachelor’s degree (BA/BS) in a related field.
  • Seven years of experience in operations research is required.
  • Demonstrated experience applying statistical and operations research methods and tools.
  • Experience with data analysis, data science, data mining, statistics, or advanced analytics.
  • Experience with software integration and/or testing, including test plans and test scripts.
  • Experience using scripting languages such as Python and R.
  • Experience working with data science and advanced analytics packages and tools.
  • Experience with SQL and/or NoSQL databases.
  • Experience with APIs, ETL pipelines, Web Application Servers, and/or Search Index technologies.
  • Experience using tools such as Jupyter Notebook, Pandas, NumPy, and Requests.
  • Ability to apply mathematical and statistical concepts to complex analytical problems.
  • Experience using spreadsheets for data manipulation, analysis, and visualization.
  • Active Secret security clearance or the ability to obtain and maintain a Secret clearance.

Responsibilities

  • Perform data analysis, data mining, statistical analysis, and operations research to support analytics objectives.
  • Support software integration and testing activities, including analyzing, developing, and implementing test plans and test scripts.
  • Use scripting languages such as Python and R to perform data analysis and advanced analytics.
  • Apply data science packages, tools, and methodologies commonly used for advanced analytics.
  • Apply statistical methods, operations research techniques, and analytical tools to evaluate data and support decision-making.
  • Work with structured and unstructured data using technologies such as SQL and NoSQL.
  • Build and support APIs and ETL pipelines.
  • Work with Web Application Servers and Search Index technologies as applicable to data integration and analytics efforts.
  • Apply data science, data mining, statistical, and graph algorithm techniques to support analytical requirements.
  • Develop and use analytical solutions with tools and technologies such as Python, Jupyter Notebook, Pandas, NumPy, and Requests.
  • Apply complex mathematical and statistical concepts to analyze data and solve operational and analytical problems.
  • Use spreadsheets and related tools for data manipulation, analysis, and visualization.
  • Support the development, testing, validation, and documentation of analytical solutions and data-driven products.
  • Collaborate with technical and analytical teams to identify data sources, evaluate information, and support project objectives.

Desired Qualifications

  • A relevant industry certification in data analytics, cloud technologies, cybersecurity, or related technical disciplines.
  • Experience with graph algorithms and advanced data science methodologies.
  • Experience developing or supporting data-driven applications and analytical solutions.
  • Experience with complex datasets and integrating data from multiple sources.
  • Experience supporting U.S. Government, Department of Defense, or other federal programs.

About the Company

Akima

Federal contractor delivering facilities, IT, logistics

Akima provides contracted, integrated services to the U.S. federal government across facilities, IT, logistics, protective services, systems engineering, mission support, FF&E, and construction. It delivers these offerings through multi-domain services that support government missions. As an Alaska Native-owned subsidiary of NANA, Akima combines mission outcomes for customers with long-term value creation for its parent and Iñupiat community. Its goal is to help customer missions succeed while sustaining value for NANA and its shareholders.

Company size
1,001-5,000
Company stage
Not listed
Total funding
Not listed
Headquarters
Colorado Springs, CO
Founded
1995

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