Mid-Level Data Analyst

Akima; Indian Head (MD); On-site; USD 105,000 - 120,000; Full time

Benefits offered by this job

Comprehensive benefits

Paid Time Off (PTO)

401(k)

Job summary

Akima Mission Optimization (AMO) in Indian Head, MD is seeking a Mid-Level Data Analyst to support data‑driven analytics, operations research, and software integration. You will apply Python, R, SQL/NoSQL, and ETL techniques to deliver insights and data‑driven products.

The role requires hands‑on experience with data analysis tools, databases, APIs, and data science packages, and may require obtaining a Secret clearance. On‑site work with a focus on collaboration across technical teams.

Qualifications

• A Bachelor’s degree in a related field is preferred; equivalent experience may substitute.
• Seven years of experience in operations research is required.
• Experience with data analysis, data science, data mining, statistics, or advanced analytics.
• Experience with software integration and testing, including test plans and scripts.
• Experience with Python and R scripting languages.
• Experience with data science packages and tools.
• Experience with SQL and NoSQL databases; API/ETL experience is a plus.
• Ability to apply mathematical and statistical concepts to complex problems.

Responsibilities

• Perform data analysis, data mining, and statistical analysis to support analytics objectives.
• Support software integration and testing activities, including test plans and test scripts.
• Use Python and R to perform data analysis and advanced analytics.
• Apply data science tools and methodologies for analytics.
• Work with SQL and NoSQL databases for data extraction and shaping.
• Develop and support APIs and ETL pipelines.
• Leverage tools like Jupyter Notebook, Pandas, and NumPy for analyses.
• Collaborate with teams to identify data sources and support projects.

Skills

Python

R

SQL

NoSQL

Pandas

NumPy

APIs

ETL

Jupyter Notebook

Data analysis

Education

Bachelor’s degree in a related field

Tools

Git

REST APIs

ETL tools

Job description

AMO is looking for a Mid-Level Data Analyst to work in Indian Head, MD. To join our team of outstanding professionals,

The Mid-Level Data Analyst supports data-driven analysis, operations research, software integration and testing, and advanced analytics efforts. This role applies statistical, mathematical, programming, and data science techniques to analyze complex information, support analytics objectives, and develop meaningful insights. The position requires hands‑on experience with data analysis tools, programming languages, databases, and analytical methodologies.

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 Structured Query Language (SQL) and Non‑Structured Query Language (NoSQL).
• Build and support Application Programming Interfaces (APIs) and Extract, Transform, and Load (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.

Qualifications

• Bachelor’s degree (BA/BS) in a related field is desired. An Associate’s degree (AA/AS) and four (4) additional years of related experience may be substituted for the Bachelor’s degree.
• Seven (7) 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.

Preferred Qualifications

• 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.

Examples Of Relevant Industry Certifications

• CompTIA Cloud Essentials
• Microsoft Technical Associate (MTA)
• Certificate of Cloud Security Knowledge (CCSK)
• CompTIA A+
• CompTIA Security+
• EMC Data Science Associate (EMCDSA)
• Cloudera Certified Data Scientist (CCDH)
• Certified Apache Hadoop Developer (HCAHD), Hortonworks
• Certified Information Systems Security Professional (CISSP)
• Certified Cloud Professional (CCP), Cloudera
• Microsoft Certified Professional Developer (MCPD)
• Microsoft Certified Solutions Developer (MCSD)
• Microsoft Certified Solutions Expert (MCSE)
• Private Cloud
• Certified Administrator for Apache Hadoop (CCAH), Cloudera

“This position is contingent upon contract award and funding. Applicants selected may be offered but cannot begin work until funding has been confirmed.”

Job ID

2026-26162

Work Type

On-Site

Pay Range

105,000-120,000

Benefits

• Regular - The company offers a comprehensive benefits program, including medical, dental, vision, life insurance, 401(k) and a range of other voluntary benefits. Paid Time Off (PTO) is offered to regular full‑time and part‑time employees.

Company Description

Akima Mission Optimization (AMO), an Akima company, is not just another federal logistics contractor. As an Alaska Native Corporation (ANC), our mission and purpose extend beyond our exciting federal projects as we support our shareholder communities in Alaska.

At AMO, the work you do every day makes a difference in the lives of our 15,000 Iñupiat shareholders, a group of Alaska natives from one of the most remote and harshest environments in the United States.

Work Where it Matters

Akima Mission Optimization (AMO), an Akima company, is not just another federal logistics contractor. As an Alaska Native Corporation (ANC), our mission and purpose extend beyond our exciting federal projects as we support our shareholder communities in Alaska.

For our shareholders

AMO provides support and employment opportunities and contributes to the survival of a culture that has thrived above the Arctic Circle for more than 10,000 years.

For our government customers

AMO delivers innovative administrative support services that streamline operations, and enhance productivity.

As an AMO employee

you will be surrounded by a challenging, yet supportive work environment that is committed to innovation and diversity, two of our most important values. You will also have access to our comprehensive benefits and competitive pay in addition to growth opportunities and excellent retirement options.

Job ID:26162-en-us