Data Analyst

Data Analyst

​​​Job Summary:

The Data Analyst provides high-level expertise in areas of data science and decision support analysis. This position is responsible for implementing and promoting data-driven decision support systems and creating high-impact analytics solutions for our clients. The Analyst develops algorithms, solves complex problems, builds predictive analytics, uses automation, applies machine learning, and uses the right combination of tools and frameworks to turn sets of disparate data points into insights that help the client make informed decisions. This position provides customer with a deep understanding of their data, what it all means, and how they can use it. The primary objective of the Data Analyst is to shape long-term understanding and impact of training, understand context and operationalize research constructs into field studies as indicated by the Government.

Supervisory Responsibilities:

• None.

Duties/Responsibilities:

Specific duties shall include, but are not limited to the following:

• Track and provide actionable metrics for qualitative assessments and scale data management and outputs IAW the Government’s needs as necessary. As Airmen progress and their training age (how long they have done a given task) increases, qualitative metrics will change as well.
• Provide actionable reports and provides Air Force leaders with professional, viewable and printable reports.
• Work with the Government to create data input and output products and methodologies.
• Work with the Government, across all required domains, to develop actionable metrics and data outputs.
• Will provide Data Analysts support to analyze physiological and qualitative metrics associated with candidates and aircrews.
• Be able to paint the picture of what challenges fighter aircrew, physically or qualitatively through objectives data sets, captured and displayed through the data management system.
• Provide the ability to assess class averages, highs and lows, with the overall goal of establishing Aircrew specific algorithms and standards.
• Provide a service that manages all data, with the understanding that all data belongs to the Government and must be returned to the Government upon request.
• Uses advanced techniques that integrate traditional and non-traditional datasets and methods to enable analytical solutions.
• Designs, develops, builds classifier and implements quantitative models. Performs exploratory data analysis to identify attributes and applies predictive analytics techniques including information retrieval, machine learning, network analysis and data mining to generate management insight and enable customer-facing applications.
• Researches, tests, builds, and performs data transformations for data reduction and variable analysis of risk analysis to implement statistical techniques. Assists with designing and developing new models or refreshing existing software.
• Integrates and extracts relevant information from large amounts of both structured and unstructured data (internal and external) to enable analytical solutions.
• Collaborates with project teams and stakeholders to identify client requirements.
• Develop reports and custom requests for users.
• Assist with application and user support when needed.
• Test programs or databases, correct errors, and make necessary modifications.
• Specify users and user access levels for each segment of the OHWS selected software program.
• Train users and answer questions.
• Supports Subject Matter Experts (SME's) on efforts to develop scalable, efficient, automated solutions for large scale data analyses, model development, model validation and model implementation.
• Works with Software Developers to research architecture for new products, services, and features.
• Assists in developing algorithms and supporting code such that research efforts are based on the highest quality data.
• Implements modeling features and methods to develop custom architectures and application integration for program execution.
• Ensures data security measures and methods are current and implemented throughout the data lifecycle.
• Work with clients to develop comprehensive operational and strategic data analytics plans/solutions.
• Deep dive data sets to provide clients with actionable metrics.
• Create visualizations of physiological key performance indicators (KPIs) for clients.
• Develop presentations and papers for client digestion of varying data sets.
• Help developers structure input and analytic tools and processes within the data management system.
• Work with client staff, including coaches and managers to distill actionable meanings from data sets.

Required Skills/Abilities:

• Shall have a proficient understanding and working knowledge of computer, e-mail, voice mail, and telephone texts to perform duties.
• Additionally, be proficient with Microsoft Word, Excel, and PowerPoint.
• Able to obtain a Secret Security Clearance

Education and Experience:

The Data Analyst shall have appropriate level(s) of education to perform the required function – at a minimum, shall:

• Possess a Bachelor’s Degree in the field of Statistics / Mathematics/ Marketing/ Economics, or Business Administration or equivalent degree.
• Possess 2+ years’ data mining and/or 4+ years in a data analyst role.