Job Description
Responsibilities:
The Deloitte professional will provide support to our Federal Government client with prescription drug investigation data analysis, dashboarding, and process improvement support, including:
- Maintain and enhance a suite of dashboards and data pipelines supporting strategic and investigative efforts.
- Regularly develop new dashboards and pipelines that reflect the latest analytical requirements of the client.
- Identify opportunities for automation within existing processes to improve efficiency and accuracy.
- Develop and implement automated solutions to streamline data collection, processing, and other reporting tasks.
- Collate and combine client data (100M+ rows) to effectively and efficiently produce thorough analyses supporting client needs.
- Design and implement advanced analytics and machine learning models to support lead development amongst entities.
- Train client personnel on the use of dashboards and developed analytical tools.
The role requires two+ days a week of on-site support in Arlington, VA.
Required:
- Bachelor's degree in quantitative field is required.
- Must be able to obtain and maintain required clearance for this role.
- Must have 5+ years of professional data analytics experience using Excel, Power BI, or other analytics software
- 2+ years of manipulating data
- Experience with Python and Power BI
- Strong strategic communication skills to include presenting quantitative concepts in easy-to-understand formats and actively listening to identify business problems and their causes.
- Experience with creating data visualization concepts to better represent insights and communicate complex quantitative concepts to non-technical audiences.
- Willingness to travel and flexibility to commute to clients in the DC metro area as needed is required.
- Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future.
Preferred:
- Experience in Law Enforcement, Healthcare, and/or Prescription Drug Policy is strongly preferred.
- Masters degree in quantitative field highly preferred
- Demonstrated experience in big data analysis, data visualization and data pipelines.
- Demonstrated experience with SQL Database Administration and/or SQL Programming.