Program/Data Analyst - Supervisor

Role Description GDIT is hiring a Program/Data Analyst - Supervisor to support the data collection and analysis efforts involved with overseeing the implementation of a government program with respect to the care and placement of participants in a network of care providers. The Data Analyst will enhance and develop reporting and analytics capabilities, support forecast modeling, develop automated reporting solutions and dashboards, build briefing products, conduct and deliver analyses, and coordinate/implement data collection efforts. Position Duties: Supervisory tasks include: Monitor and support the progress of individual team members on an ongoing basis to ensure that the team is supported and meeting the customer’s delivery requirements. Provide updates and new guidance to the team as needed per DAIM requirements. Provide technical assistance to team members as needed. Provide training for new staff on all elements of DAIM and GDIT processes. Monitor program areas being supported by GDIT staff and provide suggestions on process improvement when applicable. Provide oversight of the quality of work and deliverables. Monitor staff performance, providing additional training and feedback as needed. Complete Performance Improvement Plans (PIPs) as necessary. Complete annual performance evaluations and monitor staff’s progress towards annual goals. Review monthly reports; Approve and submit consolidated reports as needed. Review and approve timecards, schedules and flex time requests, leave requests, and expense reports as applicable. Serve as primary point of contact for stakeholder questions, requests, or concerns as it relates to the DAIM team contractor staff or overall output. Act as mentor and provide training and technical assistance to GDIT contract staff members that support DAIM while also maintaining team specific training materials. Other duties include: Work within federal staff led functional lanes to enhance the collection and analysis of program data. Update and develop on-site data collection tools and processes to yield statistically reliable and informative data and support field program assessments. Assist in identifying performance outcomes and indicators. Identify uniform data points and conduct high-level data interpretation/analysis using a data analytics platform. Prepare written summaries and presentations that reflect the results of the data analysis and present findings to agency leadership. Oversee the quality and the production of both routine and ad hoc analytical reports. Assist in the training of contractor and field staff on the use of data collection and analysis tools. Support with projects that promote the continual improvement of data analysis. Compile, analyze, and visualize data using a data visualization platform such as Power BI or Tableau. Build data repositories/databases and provide ad-hoc data reporting as needed. Qualifications Bachelor’s degree in data science, data analytics, or similar degree with at least 8 years of experience conducting quantitative and qualitative data interpretation and analysis. Master’s degree preferred. Prior experience leading data projects and initiatives or data centric teams. High degree of familiarity working with sensitive-PII and integrity in protecting customer data. Working knowledge of data visualization platforms (Tableau or Power BI) and scripting languages (R, Python). Working knowledge of SQL and familiarity with relational databases. Advanced skills in Excel and VBA. Exceptional analytical skills. Strong written and verbal communication skills as well as strong attention to detail. Experience working with immigrants, refugees, and underserved populations is preferred. Top candidates will have specialties in one or more of the following areas: Statistical analysis and modeling. Natural language processing. Experience with quantitative and qualitative data analysis. Data engineering and experience working with large datasets, performing tasks such as data cleaning and processing (ETL). Solid knowledge of SQL including CTE’s. Python and/or R. Tableau. Palantir. Linux and ability to maintain a Linux server. Requirements This position requires an existing Public Trust or the ability to obtain one. This role and associated duties will be performed remotely with the potential to perform work on site at a government facility located in Washington, DC at a future date. The likely salary range for this position is $124,093 - $166,750. This is not, however, a guarantee of compensation or salary. Rather, salary will be set based on experience, geographic location and possibly contractual requirements and could fall outside of this range. Scheduled Weekly Hours: 40 Travel Required: Less than 10% Telecommuting Options: Remote Work Location: Any Location / Remote Benefits Our benefits package for all US-based employees includes a variety of medical plan options, some with Health Savings Accounts, dental plan options, a vision plan, and a 401(k) plan offering the ability to contribute both pre and post-tax dollars up to the IRS annual limits and receive a company match. To encourage work/life balance, GDIT offers employees full flex work weeks where possible and a variety of paid time off plans, including vacation, sick and personal time, holidays, paid parental, military, bereavement and jury duty leave. GDIT typically provides new employees with 15 days of paid leave per calendar year to be used for vacations, personal business, and illness and an additional 10 paid holidays per year. Paid leave and paid holidays are prorated based on the employee’s date of hire. The GDIT Paid Family Leave program provides a total of up to 160 hours of paid leave in a rolling 12 month period for eligible employees. To ensure our employees are able to protect their income, other offerings such as short and long-term disability benefits, life, accidental death and dismemberment, personal accident, critical illness and business travel and accident insurance are provided or available. We regularly review our Total Rewards package to ensure our offerings are competitive and reflect what our employees have told us they value most.