• Analyze complex data using advanced statistical techniques to inform Health Pivots reporting and product enhancements. • Identify and leverage new tools, processes, and methodologies to strengthen Health Pivots data models and analytic workflows. • Acquire, clean, and manage datasets from multiple sources to support Health Pivots platform accuracy and performance. • Identify trends, patterns, and anomalies that improve Health Pivots’ ability to deliver actionable market and organizational intelligence. • Build compelling dashboards and visualizations that help clients understand and apply Health Pivots insights. • Troubleshoot data quality issues, identify root causes, and implement improvements to elevate Health Pivots data integrity. • Collaborate with business stakeholders to prioritize analytics needs specific to Health Pivots initiatives. • Support ongoing process improvement efforts to increase the value, efficiency, and scalability of Health Pivots analytics.

• Perform advanced data analysis to identify trends, patterns, and opportunities for business improvement • Translate complex data into clear, actionable recommendations for stakeholders • Mentor Data Analysts, providing guidance, training, and performance feedback • Establish best practices for data analysis, visualization, and reporting • Develop dashboards and reports using tools such as Power BI, Tableau, or similar platforms • Lead analytical initiatives throughout the organization • Partner with business units to understand objectives and define analytical requirements • Support strategic initiatives by delivering data-driven insights and predictive models • Ensure data integrity, accuracy, and compliance with governance standards • Work closely with Data Engineering teams to optimize data pipelines and infrastructure • Present findings to senior leadership in a clear and compelling manner

• Own digital marketing analytics for InPost's international markets, supporting paid media and web analytics performance. • Analyze performance marketing data using advanced SQL and Python to uncover trends, risks, and growth opportunities. • Act as a consulting partner to markets: proactively interpret data, challenge assumptions, and recommend campaign optimizations. • Translate high-level business questions into deep-dive analyses that go beyond basic reporting. • Define KPIs, methodologies, and analytical standards for a newly created international digital analytics function. • Ensure strong data quality and consistency across digital data sources.

• Execute advanced analyses and data-driven initiatives. • Ensure strategic decisions are guided by robust insights. • Translate data into concrete actions, supporting teams in implementing analytical solutions. • Elicit, understand, and translate business needs into analyses and KPIs. • Build and maintain dashboards in Power BI and Databricks. • Document processes and data models.