Business Intelligence Manager
2 months ago
Designation
Power BI Manager
Key Points:
Power BI, Data Engineering, Data Modelling, DAX, Data Storytelling, MS Excel, Report
Domain: US Healthcare exp is Must
Job Responsibilities
- Engage with leadership and diversified customer groups to understand the needs, recommend business intelligence solutions and delivering complete reporting solutions.
- Partner with Data engineering team to define the data elements and data structure that the team should leverage to enable analytical capabilities.
- MS Power BI modelling, Dax, data storytelling, report publishing, security and strong experience in creating complex reports using all kind of visualizations available with Power BI
- Advanced level SQL programming and data visualization skills. Proficient MS Excel (Pivot), MS PPT & Visualization tools
- Hands on experience in creating and deploying BI reports, analytics, and dashboard solutions including design, development, deployment, data engineering, and data management projects and practices
- Own the design, development, and maintenance of ongoing metrics, reports, analyses, dashboards, etc. to drive key business decisions.
- Developing visual reports, dashboards and KPI scorecards.
- Connecting to data sources, importing data, and transforming data for Business Intelligence.
- Excellent in analytical thinking for translating data into informative visuals and reports.
- Design, implement, and support platforms that provide business teams ad-hoc access to large datasets (e.g. data visualization tools for non-tech business users)
- Make recommendations for new metrics, techniques, and strategies to improve the operational and quality metrics.
- Strong SQL experience with the ability to develop, tune and debug complex SQL applications.
- Experience with a structured application development methodology, using any industry standard Software Development Lifecycle, and agile methodologies.
- Support and enhance, stakeholder experience and models of optimization decisions in multiple production planning systems.
- Standardize data and report consumption across all customer groups.
- Drive process efficiency and automation
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