Senior Data Analyst

Akima; Northern (KY); Hybrid; USD 125,000 - 160,000; Full time

Benefits offered by this job

Medical, dental, vision insurance

401(k) plan

Paid time off

Job summary

Akima Mission Optimization (AMO) seeks an experienced Data Analyst to support complex data analysis, operations research, software integration and testing, and advanced analytics for mission objectives. You will work with SQL/NoSQL databases, APIs, ETL pipelines, and analytical tools (Python, R, Jupyter) to collect, process, analyze, and interpret diverse datasets.

The role emphasizes statistical, mathematical, and data science methodologies, collaboration with technical teams, and documentation

Qualifications

• Master’s degree is desired or BA/BS with five years of relevant professional experience may substitute
• Experience applying statistical, mathematical, analytical, and operations research methods to complex problems
• Proficiency with data science, data mining, advanced analytics, or statistical analysis
• Experience with software integration and/or testing, including test plans and scripts
• Experience using Python and R
• Experience with SQL, NoSQL, APIs, ETL pipelines, or related data technologies
• Experience with data science tools such as Jupyter Notebook, Pandas, NumPy, or similar technologies
• Strong analytical, mathematical, statistical, and problem-solving skills
• Ability to translate analytical findings into actionable recommendations

Responsibilities

• Perform data analysis, data mining, statistical analysis, and operations research to support program objectives
• Apply mathematical and statistical concepts to analyze data and develop insights
• Develop analytical methodologies, models, and techniques to support data-driven decisions
• Conduct software integration and testing activities incl. test plans/scripts
• Use Python and R for data analysis and advanced analytics
• Work with data science tools like Jupyter Notebook, Pandas, NumPy
• Access, manipulate, and analyze data using SQL/NoSQL and APIs
• Develop, maintain, and optimize ETL pipelines
• Create data visualizations and analytical products to communicate findings
• Document methodologies, processes, and results
• Collaborate with teams to identify data requirements and solutions
• Support continuous improvement of data analysis processes

Skills

Operations research

Python

R

SQL

NoSQL

ETL pipelines

Data analysis

Data visualization

Education

Master's degree desired

BA/BS + 5 years experience

Tools

Jupyter Notebook

Pandas

NumPy

APIs

Job description

We are seeking an experienced Data Analyst to support complex data analysis, operations research, software integration and testing, and advanced analytics in support of mission and program objectives. This position will apply statistical, mathematical, programming, and data science techniques to collect, process, analyze, and interpret complex datasets. To join our team of outstanding professionals

The Data Analyst will work with a variety of data sources and technologies, including structured and unstructured data, SQL and NoSQL databases, APIs, ETL pipelines, search indexes, and analytical programming tools. The ideal candidate will have strong experience with operations research, data science, statistical analysis, and programming languages such as Python and R.

Responsibilities

• Perform data analysis, data mining, statistical analysis, and operations research to support program and mission objectives.
• Apply complex mathematical and statistical concepts to analyze data, identify trends and relationships, and develop actionable insights.
• Develop and execute analytical methodologies, models, and techniques to support data-driven decision-making.
• Perform software integration and testing activities, including analyzing, developing, and implementing test plans and test scripts.
• Use scripting and programming languages, including Python and R, to conduct data analysis and advanced analytics.
• Utilize commonly used data science and analytics packages and tools, including Jupyter Notebook, Pandas, NumPy, Requests, and related technologies.
• Apply data science, data mining, statistical, and graph-based algorithms to support analytical objectives.
• Develop and utilize Structured Query Language (SQL) and NoSQL technologies to access, manipulate, and analyze data.
• Support Application Programming Interface (API) development and integration to facilitate data access and exchange.
• Develop, maintain, and utilize Extract, Transform, and Load (ETL) pipelines to collect, process, transform, and prepare data for analysis.
• Work with web application servers, search indexes, databases, and other data management technologies.
• Analyze and integrate data from multiple sources to support complex analytical requirements.
• Apply statistical and operations research methods, tools, and techniques to solve complex analytical problems.
• Use spreadsheets and other analytical tools for data manipulation, analysis, visualization, and reporting.
• Develop data visualizations and analytical products to communicate findings and support mission requirements.
• Conduct data validation and quality checks to ensure the accuracy, integrity, and reliability of analytical results.
• Document analytical methodologies, processes, findings, and results.
• Collaborate with technical teams, analysts, program managers, and other stakeholders to identify data requirements and develop effective analytical solutions.
• Support continuous improvement of data analysis processes, tools, methodologies, and technical solutions.

Qualifications

• Master’s degree in a related field is desired.
• A Bachelor’s degree (BA/BS) may be substituted for the Master’s degree with an additional five (5) years of relevant professional experience.
• Ten (10) years of experience in operations research is desired.
• Demonstrated experience applying statistical, mathematical, analytical, and operations research methods to complex problems.
• Experience with data science, data mining, advanced analytics, or statistical analysis.
• Experience with software integration and/or testing, including the development or implementation of test plans and scripts.
• Experience using scripting or programming languages such as Python and R.
• Experience with SQL, NoSQL, APIs, ETL pipelines, or related data technologies.
• Experience working with data science and analytical tools such as Jupyter Notebook, Pandas, NumPy, or similar technologies.
• Strong analytical, mathematical, statistical, and problem-solving skills.
• Ability to work with complex datasets and translate analytical findings into meaningful conclusions and recommendations.
• Ability to use spreadsheets and other analytical tools for data manipulation, visualization, and reporting.
• Active Top Secret security clearance or the ability to obtain and maintain a Top Secret clearance.

Preferred Qualifications:

• Relevant industry certification in data science, cloud computing, cybersecurity, database technologies, or related technical disciplines.
• Experience with big data, advanced analytics, machine learning, or graph algorithms.
• Experience developing or supporting APIs, ETL pipelines, search indexes, or web application environments.
• Experience supporting U.S. Government or Department of Defense programs.
• Experience working with complex, multi-source datasets in a mission-focused environment.

Examples of Relevant Industry Certifications:

Relevant certifications may include, but are not limited to:

• 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
• Cloudera Certified Data Analyst (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 Solution Developer (MCSD)
• Microsoft Certified Solutions Expert (MCSE
• Private Cloud certifications
• 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

2026-26159

Work Type

On-Site

Pay Range

125,000-160,000

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

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.

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.

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 also have access to our comprehensive benefits and competitive pay in addition to growth opportunities and excellent retirement options.