Coverent is seeking a Junior Data Science Consultant to lead program evaluation activities for a client in the US Intelligence Community. On this project, you’ll have the opportunity to demonstrate your intellectual agility by leading data collection and data analysis activities to produce key performance insights. Furthermore, you will lead the implementation of your recommendations when they are adopted by our customer. This project features the opportunity to interact with a wide range of key stakeholders, including those at senior levels. This is an exciting opportunity for an intellectually curious, energetic management consultant to work on a project with real impact helping our client develop ways to understand and improve performance of activities that support delivery of the mission.
Coverent is a specialized consulting services firm focused on developing innovative solutions to the most challenging problems facing our nation. We are growing quickly, but focused on maintaining our commitment to fantastic results and a fair, flexible, and fun culture:
- Are you interested in working for a boutique firm who sees its employees as more than just a number?
- Are you intrigued by the notion of joining a small team of talented, passionate consultants with a clear vision to help our clients achieve their missions better, smarter, faster?
- Does a company culture that emphasizes outcomes, fairness, and flexibility sound appealing?
- Would you like to be rewarded for your contributions, via programs like annual bonuses and company profit sharing?
- Would you appreciate having a choice of options from top-notch benefit providers for medical and retirement plans?
- Are you interested in a learning culture that is forward-leaning regarding training, education, and professional development?
If you answer YES to these questions, Coverent could be the employer of choice for you.
- Consult with clients on the development, prioritization and implementation of process improvement and impact evaluations tasks.
- Develop recommendations for changes to policy, processes, communications and training to enable achievement of vision. Develop and implement research designs with practical strategies for measuring performance of organizational units and/or unit activities to include development of performance measures and design of actionable methods for collecting and analyzing data, and implement strategies and refine as needed.
- Perform a variety of research activities to include document reviews, structured interviews, and gap analyses, and involves stakeholder identification and logistical coordination for data collection activities and documentation of discussions.
- Analyze both qualitative and quantitative information to provide customer with comprehensive insights into organizational strengths and challenge areas.
- Prepare visual presentations of data and analysis.
- Prepare reports and presentations for senior leadership based on research plans, activities, findings and recommendations.
- Brief senior level customers on research plans, activities, findings and recommendations.
- U.S. Citizenship
- Active TS/SCI clearance with Full-Scope Polygraph
- Must have a Bachelor’s degree or a minimum of 4 years' experience in a consulting role in the IC; Master’s degree in business, social science, or behavioral science preferred
- Proven ability to analyze data and translate analysis into meaningful insights
- General understanding of data coding, data integrity, and statistical sampling and analysis concepts
- Experience developing presentations and providing briefings to middle and senior management
- Excellent oral and written communication skills, including visual representation of data using charts and graphs
- Advanced proficiency with MS Excel and PowerPoint
- Ability to perform in an individual contributor role while also excelling in a team environment
- Some knowledge of Python, R, SPSS, ETL, SQL or related Data Tools
- Ability to analyze information and identify implications for policy, processes, communications and training
- Demonstrated experience leading qualitative research and program evaluation activities to include experience leading structured interviews
- Familiarity with SPSS
- Familiarity with advanced statistical concepts
- Advanced knowledge of Python, R, SPSS, ETL, SQL, or related Data Tools