• Analyze complex spreadsheets, benchmark data, research findings, and other structured or unstructured data sources to identify actionable insights • Collaborate with writers and engineers to verify and implement those insights • Identify trends, patterns, anomalies, and opportunities within large datasets and communicate findings to internal and client stakeholders • Collaborate with strategists, analysts, designers, and subject-matter experts to support client engagements with data-driven recommendations • Acquire expertise in high-tech subjects and the data that supports them • Work as a member of a cross-functional, multi-purpose team where success depends on every member • Deliver project outputs on time according to a schedule you help define • Work effectively in a constantly changing environment, prioritize multiple tasks, work under minimal/remote supervision, and provide frequent status updates while juggling multiple projects

• Conduct a root-cause analysis on identified issues, take ownership of the issue from identification to resolution including communicating possible downstream implications. • Defining the exceptions and report requirements needed to ensure accurate default reporting. • Work closely with default management on identified issues and/or regulatory changes and analyze business processes and recommend improvements to correct data reporting errors. • Validate and troubleshoot exception reports and default data from the system of record to ensure any discrepancies are being identified. • Perform data analysis to ensure accuracy before delivery to internal and external customers. • Alter existing reports to provide data for ad-hoc business needs. • Create and maintain documentation of processes (i.e., job aides, reports, and procedures) and ensure they are up to date and accurate as all times per department policy. • Perform other duties and projects as assigned.

Role Description GDIT is hiring a Principal Program/Data Analyst 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. The Data Analyst role will be allocated across three core functions: - Support the regular reporting of program metrics to senior leadership and adjacent federal agencies. - Initiate and lead longer-term information management projects that combine data across various disciplines to yield new and actionable insights for program leaders. - Support any ad-hoc information requests or technical needs within the program. Position Duties: - 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 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 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 7-8 years of experience conducting quantitative and qualitative data interpretation and analysis. Master’s degree preferred. - 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. - This position requires the ability to obtain a Public Trust. - 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 position may require shift hours including weekends and holidays. Shift schedules are based on customer need and are subject to change. - The likely salary range for this position is $124,093 - $143,750. 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 - Variety of medical plan options, some with Health Savings Accounts. - Dental plan options. - Vision plan. - 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. - Full flex work weeks where possible. - Variety of paid time off plans, including vacation, sick and personal time, holidays, paid parental, military, bereavement, and jury duty leave. - 15 days of paid leave per calendar year for vacations, personal business, and illness, plus an additional 10 paid holidays per year. - Paid leave and paid holidays are prorated based on the employee’s date of hire. - Paid Family Leave program provides up to 160 hours of paid leave in a rolling 12-month period for eligible employees. - 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. - Regular reviews of the Total Rewards package to ensure competitiveness and alignment with employee values.

• You'll partner with teams across the organization to transform data into meaningful insights that drive smarter decisions. • You'll help leaders understand business performance, identify opportunities for improvement, and measure the impact of strategic initiatives. • The best analysts don't just report what happened – they help teams understand why it happened and what to do next. • Design and analyze experiments, pilots, and performance evaluations that separate signal from noise and support confident decision-making. • Build dashboards and reporting that provide leaders with visibility into operational performance, customer outcomes, and organizational health. • Analyze data across multiple sources to identify patterns, emerging opportunities, risks, and areas for improvement. • Use segmentation, cohort analysis, and behavioral data to understand customers, users, or operational processes and identify opportunities to improve results. • Partner with stakeholders across departments to answer high-impact business questions, evaluate tradeoffs, and provide analytical recommendations. • Improve data quality, instrumentation, and reporting by identifying gaps in existing data collection and helping teams capture the information needed to make informed decisions. • Build confidence in business decisions by designing analyses and communicating insights that help teams understand what is working – and what isn't. • Turn data into strategic direction by uncovering trends, identifying opportunities, and providing actionable recommendations. • Create visibility into organizational performance through dashboards, reporting, and metrics that stakeholders rely on every day. • Partner with cross-functional teams to frame business problems, evaluate options, and ensure decisions are supported by data. • Develop meaningful metrics and reporting frameworks that enable teams to consistently measure success and track progress over time. • Identify opportunities to improve business processes, customer experiences, and operational efficiency through thoughtful analysis. • Bring clarity to complex problems by asking the right questions, exploring the data, and delivering insights that move the business forward.