Job
Description
Role & responsibilities Lead end-to-end analytics initiatives, translating business questions into data solutions and strategy recommendations. Partner with digital product owners to integrate actionable insights into platform features, enhancing user experience and business outcomes. Design and develop intuitive dashboards using Power BI or similar tools, enabling real-time decision support. Act as a liaison between business and IT, ensuring alignment of priorities and seamless execution of analytics initiatives. Analyze complex datasets to uncover trends and performance insights for digital platform enhancements. Build models, forecasts, and summaries using Excel for recurring and ad-hoc analysis, ensuring data accuracy. Document data definitions, methodologies, and processes for transparency and reusability. Champion data literacy, guiding non-technical teams in interpreting insights and integrating them into workflows. Collaborate with data engineers to ensure data quality, consistency, and governance. Track industry trends in self-service analytics, AI/ML, embedded analytics, and user experience to evolve Entegras data capabilities. Support training and change enablement efforts for adoption of insights and analytics tools. Participate in user testing and feedback loops to enhance digital products and analytics tools. Stay current with industry analytics trends and tools, sharing ideas for improving data practices and visualization. Preferred candidate profile Bachelors degree in Business Analytics, Computer Science, Information Systems, or related field. 7+ years of experience in data analysis or business analytics roles supporting cross-functional teams. 2+ years of experience in GPO, or procurement industries. Experience with data visualization tools (e.g., Power BI, Looker) and SQL skills. Proven success in working cross-functionally with business, IT, and product teams. Excellent communication skills to explain complex data concepts to non-technical stakeholders. Experience in Agile methodologies and tools like Azure DevOps. Advanced proficiency in Microsoft Excel (pivot tables, Power Query, data modeling, formulas, charts). Solid understanding of business process analysis and data-driven decision-making
