Business Intelligence Manager

4 weeks ago

Bengaluru, India Ascendion Full time

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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