• Develop and implement AI-based solutions to optimize processes and support decision-making; • Create and maintain process automations and operational workflows to drive efficiency and productivity gains; • Develop scripts and integrations using Python for data processing, transformation and analysis; • Collect, clean and analyze data to generate strategic insights; • Build and monitor performance indicators (KPIs), supporting business areas in decision-making; • Use Databricks for processing, engineering and analysis of large-scale data; • Participate in projects focused on operational efficiency, performance and scalability of solutions; • Identify continuous improvement opportunities through data analysis and process automation.

Role Description ICF is looking for a Senior Economist to join our Regulatory, Policy and Economics business portfolio where we support primarily public-sector clients with research, analysis, technical assistance, and implementation support to help address complex policy, management, and regulatory challenges. We estimate the safety, environmental, and social effects of regulations, policies and programs and assess their costs, benefits, and economic impacts. We also evaluate program effectiveness. This full-time position will be located in Reston, VA or Waltham, MA with flexibility for hybrid telework. We are also open to other remote locations. As a Senior Economist, you will perform economic, financial, and policy analyses on issues of transportation, public safety and environmental protection, with the bulk of your work on domestic regulatory issues. Your duties may include: - Leading research and quantitative analyses in support of policy decisions. - Characterizing baseline economic conditions and risk. - Performing economic, financial, and other quantitative analyses to assess the costs and impacts of policies on affected businesses, industries, employment, and the economy. - Analyzing how regulatory interventions may affect transportation risk. - Developing models to assess costs, economic impacts, and benefits or assess risk or uncertainty. You will work in collaboration with other ICF staff within a multidisciplinary team that includes economists, scientists, modelers, regulatory specialists, and other subject matter experts. Qualifications - Master’s degree in economics or related discipline with coursework in economics. - Minimum 10 years of relevant work experience; OR a PhD in economics or related discipline with coursework in economics, plus 8 years of relevant work experience. Requirements - The ability to work in a fast-paced environment with a combination of independent thought leadership and teamwork. - Adaptability to varying client needs. - Very strong analytical skills and a demonstrated ability to work independently. - Ability to apply a variety of technical skills and innovative thinking to solve complex problems. - Excellent oral and written communication skills. - Prior experience in economic consulting or in a similar function within the federal government is highly desirable. Benefits - ICF is a global advisory and technology services provider. - We combine unmatched expertise with cutting-edge technology to help clients solve their most complex challenges. - We are an equal opportunity employer. - Reasonable accommodations are available for disabled veterans, individuals with disabilities, and individuals with sincerely held religious beliefs. Pay Range The pay range for this position based on full-time employment is: $89,649.00 - $152,404.00.

Role Description The Data Analyst is responsible for delivering highly visible inbound and outbound EDI projects for the data operations team at Allied. This includes playing a key role in the ongoing monitoring of files and implementation of new trading partners; configuration of inbound and outbound ANSI X12-834 eligibility files and standard and custom data extracts, maintenance of existing trading partner files, and resolving existing trading partner file issues. Technology platforms for project delivery: QicLink (system of record), new data integrations tools which include support client eligibility and claims files. This includes EDI mapping using internal testing and validation tools. Essential Functions - Participate in outbound file implementation projects, including supporting project initiation, helping define timelines, coordinating internal resources, participating in project meetings, and assisting with ongoing communications with vendors and internal Allied stakeholders. - Assist with file (claims, eligibility, extracts) implementations, supporting accurate configuration, testing, and transitions to production. - Support additional EDI, claims file, or data extract implementations as required. - Assist as a point of contact for eligibility (834) and claims file questions, implementations, production issues, and project-related updates for both internal teams and external partners. - Navigate, interpret, and troubleshoot 834 formatted files and claims files with guidance as needed, including completing data mapping, supporting file testing, and resolving data and formatting issues. - Support the use of internal testing, validation, and monitoring tools to execute file testing, document configurations, and help maintain a single source of truth for eligibility, claims, and EDI files across teams and vendor partners. - Assist in monitoring file processing status and performance through eligibility audit reports, claims reporting, and other reporting mechanisms, helping to identify risks, discrepancies, or trends. - Support the review, investigation, and resolution of data discrepancies related to eligibility, claims, accumulators, or downstream impacts, coordinating with customer service, account management, IT, and vendor/client contacts. - Coordinate with internal teams to support implementation milestones and delivery timelines, escalating risks or blockers as needed. - Assist in troubleshooting and escalating complex data or file processing issues with internal and external partners, providing clear documentation and recommended next steps. - Support data quality initiatives by following established controls and contributing to the improvement of testing, documentation, and operational processes. - Partner with Data Operations leadership to support assigned initiatives, provide status updates, and contribute subject matter knowledge to broader data management efforts. - Other duties as assigned. Qualifications - Bachelor’s degree or equivalent work experience required. - At least 2-3 years experience working with inbound and outbound ANSI X12 834 EDI files, including some experience with the X12 834 format. - Working knowledge of data management, data warehousing, and coding languages. - Basic experience in SQL and Microsoft Power BI, along with strong computer skills, including proficiency in the Microsoft Office Suite (Word, Excel, etc.). - Knowledge of data integration programs involving all components including source systems, ETL, data quality/integrity, database, and delivery mechanisms and EDI business processes, practices, and procedures within healthcare environment. - Strong work ethic and positive attitude and exceptional ability to manage multiple projects across functional teams in a fast-paced environment. - Strong communication skills (both verbal and written) and an ability to provide recommendations on data integrations and applications. - Strategic, conceptual analytical thinking and ability to work on multiple projects at once. - Ability to advise on complex technical matters to all stakeholders; ability to communicate effectively with management. Requirements - Accountability - Analytical Thinking - Collaboration - Communication - Customer Focus - Functional Expertise - Initiative Physical Demands - This is a standard desk role requiring extended sitting and computer work. Work Environment - Remote Benefits - Medical, Dental, Vision, Life and Disability Insurance - Generous Paid Time Off - Tuition Reimbursement - EAP - Technology Stipend

Role Description A Data Analyst Supply Chain leverages technical abilities to synthesize complex analytical tasks into easily understood data-driven stories. Responsible for working collaboratively with other analysts to apply established analytical processes on diverse datasets to deduce insights and solve real-world business problems. Also ensures that all reporting and analytical responsibilities are completed competently in a timely manner, continually seeking out opportunities to hone existing technical skills (e.g. writing SQL/code, statistics, machine learning, etc.) and learn new skills. Operates under the supervision and mentorship of more experienced managers and data scientists. Key Responsibilities - 30% Executes existing reporting and analytical responsibilities - 20% Leverages data analytics tools to create new dashboards, reports, and any additional ad-hoc requests - 20% Ensures the quality of work output by displaying a keen attention to detail - 20% Develops additional technical competencies and subject matter expertise within core functional group - 10% Presents findings in easily understood ways, focuses on how the data analytics fits into the bigger picture Qualifications - Must be eighteen years of age or older. - Must be legally permitted to work in the United States. Requirements - Work experience with SQL Server, Teradata, Oracle, or comparable database systems - 1-3 years work experience in data mining, statistical analysis, auditing, and/or forecasting. - Prior direct experience in analyzing the relevant subject matter (e.g. Supply Chain, Merchandising, Operations, etc.) - B.S. in Computer Science, Math, Engineering, Finance or related quantitative field Benefits - The knowledge, skills and abilities typically acquired through the completion of a bachelor's degree program or equivalent degree in a field of study related to the job. Competencies - Critical thinking skills to identify the strengths and weaknesses of alternative solutions; ability to understand and foresee implications of new information for current and future problems solving. - An unquenchable intellectual curiosity for getting at the underlying story being told within the data. - Strong written and verbal communications skills. Ability to persuade, inform, and influence others based on findings. A track record of taking complex results and communicating them in an easily understood way. - Superior interpersonal skills and ability to collaborate actively and work in a team environment. - Ability to quickly learn and adapt to new technologies, tools, and techniques.