• Own end-to-end data analysis, from shaping data releases to delivering actionable business insights through Power BI dashboards and in-depth analytical deep dives • Ensure the delivery of reliable, high-quality data products that support informed decision-making across the organization • Collaborate closely with cross-functional partners—including Data Analysts, BI Analysts, Data Engineers, Data QA Engineers, Data Scientists, and Product Managers—to collect, structure, and analyze data sources and datamarts • Drive product and business insights, improve operational efficiency, and strengthen overall data quality as we scale as a data-driven organization

• Знайти юніт-економіку нового напрямку та побудувати прозору модель масштабування. • Адаптувати існуючі аналітичні інструменти під новий напрям без втрати швидкості. • Забезпечити культуру рішень на основі даних у новій команді з перших місяців. • Партнерстві з Product Manager та Growth Marketing Manager для формування беклогу гіпотез, їх пріоритизації та прийняття рішень на основі даних. • Аналізі ключових маркетингових, продуктових та операційних метрик: пошуку bottleneck’ів і формуванні actionable інсайтів для досягнення бізнес-цілей. • Повному аналітичному супроводі A/B тестів — від генерації гіпотези та дизайну експерименту до запуску, аналізу результатів і формування рекомендацій. • Адаптації існуючих аналітичних процесів компанії під новий напрям та створенні нових, якщо це потрібно. • Впровадженні системи алертингу ключових бізнес-метрик і дослідженні причинно-наслідкових зв’язків їх відхилень. • Тісній взаємодії з продуктовими та маркетинговими стейкхолдерами для узгодження пріоритетів і стратегій росту.

• Develop, deploy, and maintain BI interfaces • Transform data into meaningful information for business decisions • Create dashboards and visual depictions of data to reveal patterns, trends, or correlations • Identify and expand opportunities within client environments • Provide consulting services to clients on data strategy • Design the process for customer data collection and modeling • Lead BI software development, deployment and maintenance • Conduct end user training on BI tools

• Analyze complex healthcare data sets to identify trends, patterns, and insights. • Create and present reports, dashboards, and visualizations to communicate findings to stakeholders. • Isolate healthcare trend drivers and financial impacts associated with client medical claims, pharmacy claims, and other types of healthcare data. • Perform varying types of analysis including medical carrier network valuations, discount analysis, and benchmarking. • Leverage real-world, statistical data and modeling to recommend, test, validate, and track supporting health economics, return on investment (ROI), and healthcare benefit models for client businesses beyond traditional methods. • Develop analytical analytics, data models, reporting, and data mining tools that scale across clients. • Codevelop and implement data collection strategies, design, and maintain databases. • Conduct complex analyses adhering to best practice standards by selecting appropriate data sources, developing assumptions, recognizing considerations, and establishing recommendations. • Collaborate with cross-functional teams to define data requirements and ensure data accuracy and integrity. • Identify opportunities for process improvement and efficiency through data analysis. • Stay up-to-date with industry trends and best practices in data analysis. • Resolve unreasonable results, suboptimal solutions, and data anomalies based on experience and professional judgment. • Act as a technical expert and advise on strategic data mining techniques used to identify new relationships or patterns in data. • Consult and provide expertise on new or enhanced product development opportunities including discussions on methodology, data requirements, coding implications, and the viability and profitability of a given proposal. • Build predictive models to accurately analyze potential outcomes that are likely costs / savings for a given initiative or event(s). • Develop and maintain effective cross-functional working relationships to assure accurate, timely teamwork and project execution with assigned teams. • Translate, document, and present approaches, processes, and results of complex modeling and statistical analysis into layperson terms for diverse, internal and external audiences. • Build and maintain client relationships. • Monitor market trends, engage in market research, and identify opportunities for initiatives. • Support the development and training of team members and colleagues. • Participate in peer review of your own work as well as your colleagues. • Document all developed work with version controlling and logic documentation.