TECHFull-time
Senior Analyst, Advanced Analytics
By Admin · Data Science, Analytics & AI
BANGALORE (IN)ONSITEPOSTED: 9/11/2026
TECHFull-time
HIRING ORGANIZATIONLABCORPBiosciences / Healthcare

ROLE OVERVIEW
Senior analytics role focused on advanced SQL, statistical analysis, experimentation, dashboards, automation and AI-assisted workflows to turn marketing and commercial data into actionable business decisions.
ROLE DEFINITION & RESPONSIBILITIES
- •Translate marketing and commercial business questions into structured analytical problems
- •Identify opportunities where analytics and AI can improve decision-making beyond reporting
- •Lead analytical programs from problem definition through analysis and clear recommendations
- •Design and analyze A/B and multivariate experiments and apply causal thinking to quantify incremental impact and ROI
- •Design decision-oriented dashboards and automate recurring analyses
- •Build reusable analytics assets rather than one-off analyses
- •Use AI-assisted workflows for data preparation, exploration, quality checks, query/code assistance and insight summarization with human validation
- •Partner with data engineering, platform and governance teams to ensure data reliability, privacy, compliance and quality
Reporting Hierarchy: Reports to Marketing & Commercial Analytics leadership; collaborates with marketing, commercial, data engineering, platform and governance stakeholders
* Role responsibilities and qualifications synthesized based on industry benchmark standards.
QUALIFICATIONS & REQUIREMENTS
REQUIRED QUALIFICATIONS
- Bachelor’s degree in Data Science, Statistics, Mathematics, Computer Science, Engineering or related quantitative field
- Minimum 5 years of analytics experience supporting business decisions
- Advanced SQL and experience querying large complex datasets
- Proficiency in Python or R for analysis and modeling
- Experience designing and interpreting A/B tests
- Experience with business-facing dashboards and visualizations using Power BI or Tableau
PREFERRED QUALIFICATIONS
- •Experience in healthcare, life sciences or adjacent industries
- •Experience with Databricks, Snowflake or PySpark
- •Familiarity with HIPAA, GDPR, data privacy and governance concepts
- •Experience building reusable dashboards or analytics products and compelling storyboards
REQUIRED VERIFIED SKILLS
Advanced SQL
SQL
Python
R
statistical analysis
A/B testing
multivariate experimentation
causal analysis
Power BI
Tableau
enterprise data warehouses
data visualization
AI-assisted analytics
data quality
data privacy
COMPENSATION & REWARDS
Salary: Competitive / Disclosed upon candidate shortlisting
Benefits: Health and wellbeing benefits, retirement-related benefits, paid leave and employee support programs
No numeric salary range is disclosed in the provided posting. The posting does not provide India-specific compensation figures, so no salary estimate is included.
ORGANIZATION CONTEXT & CULTURE
Labcorp is a global life sciences and laboratory services company providing diagnostics, drug development capabilities, data and technology-enabled healthcare insights.
TEAM SIZE: Nearly 70,000 employees
INDUSTRY: Biosciences / Healthcare
Culture: Data-driven and innovation-focused culture emphasizing science, technology, responsible AI, inclusion, collaboration and measurable healthcare impact.
EXPECTED CAREER ROADMAP
The role can progress toward Senior Analytics Manager, Commercial Analytics leadership, Analytics Product ownership or broader AI and decision-intelligence roles. Exposure to enterprise-scale healthcare data, experimentation, senior stakeholders and AI-enabled analytics can support broader strategic responsibility.
APPLICATION ADVISORY
Emphasize 5+ years of business-facing analytics experience; showcase advanced SQL and Python/R projects; demonstrate A/B testing and causal-analysis experience; highlight Power BI or Tableau dashboards; provide examples of responsible AI use; quantify business impact from automation, analytics or decision support.
READY TO SUBMIT?
Verify your capability profile and matching credentials before submitting direct applications.
