Data Analyst

Data Analyst

Job Category: Information Technology

Time Type: Full time

Minimum Clearance Required to Start: Secret

Employee Type: Regular

Percentage of Travel Required: Up to 10%

Type of Travel: Continental US

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The Opportunity:

Are you ready to revolutionize financial auditability and transportation logistics? We're seeking talented Data Analysts to join our team in implementing a cutting-edge software system that will transform how businesses manage their finances and supply chains. From program management and cybersecurity to systems engineering and process optimization, we have exciting opportunities across multiple disciplines.*

If you're passionate about leveraging technology to streamline operations and enhance transparency, this is your chance to make a significant impact. Join us in building the future of financial and logistical management – your expertise could be the key to our success!

*Positions contingent upon contract award.

Responsibilities:
Junior-level -

• Examines data from various sources to provide insights into organization, mission/business processes, and information systems

• Design, document, and implement custom algorithms for data analysis and modeling

• Develops workflow processes to streamline data collection and analysis

• Works with large data sets for modeling, data mining, and research purposes

• Assists in creating visualizations and reports to communicate findings effectively

• Collaborates with cross-functional teams to understand data needs and requirements

• Participates in the development and maintenance of databases and data systems

• Stays current with emerging trends and technologies in data analysis and machine learning

• Contributes to the improvement of data quality and integrity 

Intermediate level -

• Examines data from various sources to provide insights into organization, mission/business processes, and information systems

• Design, document, and implement custom algorithms for data analysis and modeling

• Develops and optimizes workflow processes for efficient data handling and analysis

• Works with large data sets for modeling, data mining, and research purposes

• Creates and maintains databases and data systems

• Interprets data and analyzes results using statistical techniques

• Develops comprehensive reports and visual presentations to communicate findings

• Collaborates with cross-functional teams to identify and solve business problems

•  Stays current with emerging technologies and methodologies in data science and analytics 

Senior level -

• Examines data from various sources to provide insights into organization, mission/business processes, and information systems

• Design, document, and implement custom algorithms for data modeling, mining, and research purposes

• Develops and optimizes workflow processes to enhance data analysis efficiency and effectiveness

• Works with large data sets to extract valuable insights and support decision-making processes

• Creates and maintains comprehensive documentation for data analysis processes and findings

• Collaborates with cross-functional teams to identify data needs and deliver actionable insights

• Develops and implements data quality assurance processes

• Presents complex data findings to both technical and non-technical stakeholders

• Stays current with emerging trends and technologies in data analysis and machine learning

• Mentors junior team members and contributes to the overall data strategy of the organization 

Subject Matter Expert/SME level -

• Examines data from various sources to provide deep insights into organization, mission/business processes, and information systems

• Design, document, and implement custom algorithms for complex data analysis and predictive modeling

• Develops and optimizes workflow processes for efficient data handling and analysis

• Creates and manages large data sets for modeling, data mining, and research purposes

• Leads advanced analytics projects, from conception to implementation and evaluation

• Provides expert guidance on data strategy, architecture, and best practices

• Collaborates with cross-functional teams to integrate data-driven insights into business operations

• Mentors junior analysts and contribute to the overall data culture of the organizatio