Senior Business Analyst
Bengaluru, Karnataka, India · Full Time
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- Experience
- 2+ yrs
- Salary
- —
- Openings
- 1
- Posted
- 4 hours ago
- Work mode
- In office
- Resume
- Required to apply
Where you'll work
Job description
About the Role
We are dedicated to infusing passion and a customer-centric approach into our business operations. The Senior Business Analyst will spearhead insightful analytical projects focused on leveraging expansive, multi-faceted datasets to generate high-impact conclusions. This role involves transforming complex business questions into structured, hypothesis-led analyses supported by clear business logic and comprehensive methodologies.
Primary Duties
- Extract actionable insights through in-depth analysis and visualization of intricate datasets from multiple sources.
- Convert vague business challenges into well-defined analytical questions using hypothesis-driven frameworks and establish associated business rules and process flows.
- Utilize advanced statistical and analytical methods to evaluate hypotheses, measure impacts, and underpin strategic choices.
- Manage thorough data preparation including wrangling, validation, cross-source triangulation, and ensure analytical precision.
- Independently oversee timely and quality delivery of both regular and on-demand analytical tasks, coordinating complexities and dependencies.
- Condense complex data findings into concise, executive-quality reports delivering clear insights and strategic recommendations.
- Collaborate as a strategic advisor to senior colleagues during client projects by formulating analytics, presentations, and substantiated arguments to influence decisions.
Skill and Experience Requirements
- Minimum 2 years' experience in sales or field analytics or health equity analysis.
- Proficient with Microsoft Excel, Word, and PowerPoint.
- Strong practical skills in SQL and Pyspark are essential.
- Familiarity with Python, Dataiku, and visualization tools such as Tableau or Qlik is advantageous.
Domain Expertise
- Experience analyzing patient-level data from real-world data sources including IQVIA APLD, IQVIA LAAD, Symphony Claims, or Komodo Health Claims.
- Market and sales analytics with IQVIA/IMS data sets like MIDAS and U.S. EDI sales feeds to evaluate market size, trends, and competitor dynamics.
- Healthcare provider engagement analytics via CRM data such as Veeva to assess field force activities and engagement levels.
- Health equity or socioeconomic status-based analytics integrating U.S. Census and demographic data with patient and market-level information to examine population characteristics and disparities.