BI Analyst

About The Job – Business Intelligence (BI) Analyst

Location

About VyasLife

Requirements

• Domain Expertise in healthcare/medicine/Life-sciences (or equivalent professional experience).
• 1 to 3 years of experience as a BI Analyst or in a similar data-focused role, with a significant focus on Healthcare/Medicine and Life sciences.
• Expertise in Power BI and Advance Excel are a must.
  

Primary Responsibilities

• Data Collection & Analysis: Extract and manipulate data from multiple databases using advanced querying and data modelling techniques.
• Cross-Department Collaboration: Work with various internal stakeholders to understand business needs and reporting requirements, ensuring that your reports and analyses support their objectives.
• Data-Driven Reporting: Develop and maintain robust reports, dashboards, and KPIs that empower decision-making across teams. Deliver insights into trends, patterns, and key performance indicators.
• Predictive Analytics: Create forecasting models and predictive tools to help anticipate future trends and aid in long-term strategic planning.
• Data Quality Assurance: Validate the accuracy, reliability, and consistency of data across reports and systems to maintain high standards of data integrity.
• Continuous Improvement: Identify and implement opportunities for process optimization, data quality enhancement, and reporting efficiency.
• Stay Current: Keep up with industry trends, tools, and best practices in business intelligence and data analytics to continually elevate the team's capabilities.
  

Skills And Strengths

• Advanced Excel: Proficient with Excel, including pivot tables, VLOOKUPs, and complex formulas for data analysis.
• BI Tools: Expertise with Microsoft Power BI for data visualization and reporting.
• Data Extraction: Experience with data extraction from Epic and other platforms such as Salesforce.
• Data Storytelling: Ability to translate complex data into clear, actionable insights for stakeholders. Strong business presentation skills are a must.
• Attention to Detail: High commitment to accuracy, consistency, and integrity in data management.