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Business Intelligence Consultant
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Key to success in this role is a deep understanding of complex business needs and technical data solutions. As an Associate Engagement Manager, you will bridge the gap between these two worlds, driving measurable impact on data quality, accessibility, and strategic decision-making.
Business Requirements & Data Analysis- Gather, analyze, and translate complex business requirements related to data initiatives that support enterprise-wide data transformation programs.
- Perform in-depth data profiling and gap analysis to identify data quality issues and opportunities for improvement.
- Translate business needs into clear data specifications, including KPIs, metrics, reporting requirements, and functional requirements documents for data solutions.
- Perform data validation to ensure accuracy, consistency, and integrity as part of the enterprise-wide data transformation initiative.
- Develop and maintain dashboards, reports, and visualizations using tools such as Power BI (or similar BI tools) to support ongoing data quality monitoring and identify opportunities for continuous improvement.
- Utilize advanced SQL skills for data analysis, querying, profiling, and transformation, generating insights, and presenting findings to stakeholders.
- Translate technical concepts and data insights into clear, actionable business value for non-technical audiences.
- Facilitate workshops and conduct user acceptance testing (UAT) for analytical or reporting solutions.
- Manage cross-functional collaboration with business stakeholders, data engineers, architects, and governance teams.
- Design and implement data governance processes that align with business objectives, ensuring transparency, traceability, and alignment across teams.
- Maintain and enhance data dictionaries, business processes, data flows, and business requirements.
- Apply domain expertise in the insurance domain to ensure that industry-specific requirements are accurately captured and aligned with local regulatory standards (e.g., IFRS 17, Solvency II).
- Support project scrum execution by actively participating in sprint planning, daily stand-ups, and retrospectives, ensuring data-related tasks are clearly defined, prioritized, and delivered on time.
