Sr. Analyst, Advanced Analytics

Location: Bangalore or Mumbai, India
Function: Marketing & Commercial Analytics
Experience: 5+ years
Employment Type: Full-time

About the Role

Labcorp is hiring a Senior Data Analyst to join the Marketing team and help augment its capability in Market and Customer Analytics to further the utility of data assets towards business insight. This role will be an integral member of a team that is responsible for data-driven insights to inform marketing strategies, answer business questions, and help Labcorp better serve our customers.  This role is designed for the AI-augmented workforce of the future, where human judgment, business context, and decision ownership are amplified by modern analytics and AI tools.

This is not a traditional reporting or MIS role. You will work closely with marketing and commercial leaders to shape decisions related to customer growth, marketing effectiveness, and investment prioritization-using advanced analytics, experimentation, and automation.

The ideal candidate combines strong analytical fundamentals, business acumen, and the ability to leverage AI as a productivity and insight multiplier, while remaining accountable for interpretation, validation, and recommendations. We’re looking for someone who blends strategic thinking, strong data skills, and clear marketing communication—and who can use AI to meaningfully amplify impact.

What You Will DoBusiness-Driven Analytics & Decision SupportPartner with marketing and commercial stakeholders to translate business questions into structured analytical problemsIdentify where analytics and AI can meaningfully improve decision-making (not just reporting)Full program responsibilities: partnering with stakeholders to identify key issues, define the problem, run the required analysis, and translate findings into clear recommendations.AI-Enabled Analytics Support (Preferred / Nice to Have)Use AI-assisted workflows to speed up data preparation, exploration, and quality checks to support visualization and reporting needsProvide occasional supporting analysis (primarily descriptive/diagnostic; predictive/causal is a plus) to add context to dashboards and stakeholder questionsLeverage AI tools responsibly for:Faster data exploration and pattern detectionQuery/code assistanceDrafting chart narratives or dashboard commentary (with human review)Human judgment remains central; you are accountable for accuracy and appropriate interpretation of outputsExperimentation & MeasurementDesign and analyze A/B and multivariate experiments to measure marketing effectivenessApply causal thinking to quantify incremental impact and ROIHelp teams understand what is truly driving performance versus correlation or noiseDashboards, Automation & Insight ProductsDesign decision-oriented dashboards and performance views for business usersAutomate recurring analyses to reduce manual effort and increase consistencyBuild reusable analytics assets rather than one-off analysesCollaboration & Data StewardshipWork closely with data engineering, platform, and governance teams to ensure data reliability and usabilityApply appropriate data privacy, compliance, and quality standards in all analysesAct as a thought partner to stakeholders—not a ticket-takerRequired QualificationsBachelor’s degree in quantitative field (Data Science, Statistics, Mathematics, Computer Science, Engineering, or related discipline)A minimum of 5 years of experience in analytics supporting business decisionsStrong hands-on experience with:SQL and querying large, complex datasets. PySpark experience is preferred.Data analysis and statistical reasoningBusiness-facing dashboards and visualizations (Power BI, Tableau)oCore Skills & CapabilitiesAnalytics & Technical SkillsAdvanced SQL and experience working with enterprise data warehousesProficiency in Python or R for analysis and modelingExperience designing and interpreting experiments (A/B testing)Ability to work with imperfect, real-world data and still deliver actionable insightsAI Readiness (Practical, Not Hype-Driven)Hands-on experience using AI tools to augment analytics work (e.g., code acceleration, data exploration, insight summarization)Familiarity with Generative AI workflows (e.g., using LLMs for automated sentiment analysis or data normalization)Strong judgment on when AI outputs can be trusted vs when deeper validation is requiredCuriosity and continuous-learning mindset toward emerging analytics and AI

(Deep machine learning engineering is not required.)

Business & Communication SkillsAbility to translate ambiguous business problems into structured analyticsStrong data storytelling skills—connecting insights to decisions and actionsConfidence working with senior stakeholdersBias toward action and measurable business impactPreferred QualificationsExperience in healthcare, life sciences, or other adjacent industriesExperience with cloud analytics platforms such as Databricks or Snowflake and tools such as PySparkFamiliarity with data privacy and governance concepts (HIPAA, GDPR)Experience building reusable dashboards or analytics productsWhy Join Labcorp in this roleWork on high-impact commercial and marketing decisions at enterprise scaleBe part of an analytics team redefining how AI and human judgment work togetherMove beyond reporting into true decision intelligenceBuild skills that remain relevant as analytics and AI continue to evolve

Labcorp is proud to be an Equal Opportunity Employer:

Labcorp strives for inclusion and belonging in the workforce and does not tolerate harassment or discrimination of any kind. We make employment decisions based on the needs of our business and the qualifications and merit of the individual. Qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), family or parental status, marital, civil union or domestic partnership status, sexual orientation, gender identity, gender expression, personal appearance, age, veteran status, disability, genetic information, or any other legally protected characteristic. Additionally, all qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law. 

We encourage all to apply

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