• Translate business briefs in English into clear technical plans, execution steps, and deliverables. • Work independently during the first 2–3 months, managing active data projects from raw data review to final dashboard delivery. • Design analytical data architectures, including dimensional models, star schemas, table relationships, and transformation strategies. • Build real-time or near real-time Power BI dashboards and reporting solutions for executive decision-making. • Develop advanced DAX measures and structure scalable Power BI semantic models. • Define, calculate, and validate KPI logic such as cost of goods, waste, loss index, profitability by product/client/period, cash flow, and operational KPIs. • Use Microsoft 365 tools to automate data intake, processing, and reporting workflows. • Assess which tools, licenses, and technical resources are required for each project and advise on the most efficient setup. • Review unstructured raw data files, identify inconsistencies, document gaps, and ask the right questions before moving forward. • Validate all figures before delivery, ensuring zero calculation errors in client-facing dashboards and reports. • Document assumptions, sources, formulas, data logic, workflows, and technical decisions for long-term maintainability. • Establish working standards such as file structure, naming conventions, Git workflow, and reusable project kickoff templates. • Support the future growth of the data team by helping onboard, delegate to, and supervise junior/intermediate profiles and additional support roles. • Provide technical mentoring, feedback, and quality control once the team expands.

• Responsible for all activities of clinical trial data management including CRF design, database and edit check development • Plan and implement the data management portions of clinical research projects • Develop systems for organizing data to analyze, identify and report trends • Work with clinical leads, CRAs and statistical department to provide accurate data acquisition • Responsible for timely identification of problems or issues that could affect the results or timely completion of the trial • Provide data management portions of clinical study reports, and participates in report review

• Менеджмент та розвиток команди продуктової й маркетингової аналітики — онбординг, менторинг, постановка цілей, оцінка результатів та побудова ефективних процесів роботи. • Робота з ключовими фінансовими показниками: прогнозування Revenue, LTV, ROI-аналіз маркетингових кампаній. • Розвиток аналітичної інфраструктури: дашборди, звіти та автоматизації, а також трансформація інсайтів у конкретні бізнес-рішення. • Впровадження єдиних стандартів метрик, термінології та аналітичних підходів у всіх продуктах Lift • Взаємодія з CEO, CPO та Head of Marketing — допомога командам у знаходженні точок зростання.

Role Description DATA SCIENTIST - RURAL HEALTH PROGRAM - Leads advanced analytics, modeling, and data strategy activities supporting statewide rural health transformation initiatives. - Develops predictive and prescriptive analytics to inform program strategy, provider performance improvement, and decision-making. - Designs and implements statistical models, machine learning approaches, and advanced analytical frameworks to assess provider performance, identify trends, and generate actionable insights. - Supports development of performance metrics related to access, quality, financial sustainability, and workforce stability. - Collaborates with data, technical assistance, and program teams to translate complex datasets into meaningful insights for state leadership and provider audiences. - Develops dashboards, analytical tools, and visualization products to support program monitoring and reporting. - Supports integration and management of multiple data sources, including program data, claims, operational metrics, and external datasets. - Ensures data quality, consistency, and alignment with reporting requirements. - Provides technical guidance on data governance, analytics methodologies, and interpretation of results. - Supports development of analytical documentation and contributes to audit-ready reporting environments. - Up to 25% travel may be required. Qualifications - Master’s degree in data science, biostatistics, epidemiology, health informatics, or related field required. - Minimum 5 years of experience in advanced analytics, statistical modeling, or data science, preferably in healthcare or public-sector environments. - Experience with machine learning, predictive analytics, and statistical analysis techniques. - Advanced proficiency in Python, R, SQL, or similar analytical tools. - Experience developing dashboards and data visualizations using Power BI, Tableau, or similar tools. - Experience working with healthcare data, including claims, clinical, or operational datasets preferred. - Ability to translate complex analytical results into actionable insights for non-technical audiences. - Experience supporting Medicaid, CMS, or federally funded programs preferred. - Strong problem-solving skills and ability to work in multi-disciplinary teams. Benefits - Equal opportunity employer. - Reasonable accommodations available for disabled veterans, individuals with disabilities, and individuals with sincerely held religious beliefs. - Confidential handling of accommodation requests. - Information on workplace discrimination rights and benefit offerings available. Company Description ICF is a global advisory and technology services provider, but we’re not your typical consultants. We combine unmatched expertise with cutting-edge technology to help clients solve their most complex challenges, navigate change, and shape the future.