{"id":3009097,"url":"https://alion.io/job/bioforward-senior-analyst-advanced-analytics","title":"Senior Analyst, Advanced Analytics","company":{"id":2538958,"name":"BioForward","domain":"bioforward.org","url":"https://alion.io/company/bioforward","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":83,"open_postings":36,"ghost_share":0,"stale_share":0.861,"repost_share":0,"time_to_fill_p50_days":11,"computed_at":"2026-11-02T06:13:15Z"}},"role":"Analytics","role_family":"Analytics","seniority":"senior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":["Bengaluru, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":13500,"max_usd":27000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":25},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"A/B Testing","optional":true},{"name":"Databricks","optional":true},{"name":"GDPR","optional":true},{"name":"HIPAA","optional":true},{"name":"Machine Learning","optional":true},{"name":"Power BI","optional":true},{"name":"pySpark","optional":true},{"name":"Python","optional":true},{"name":"Snowflake","optional":true},{"name":"Spark","optional":true},{"name":"SQL","optional":true},{"name":"Tableau","optional":true}],"status":"live","first_seen_at":"2026-09-10T00:00:00Z","employer_posted_date":"2026-09-10","last_verified_at":"2026-11-02T03:21:50Z","board_verified":true,"closed_at":null,"days_open":53,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":53},"description":"Labcorp is a global leader in laboratory services, providing the insights and answers that help healthcare providers, patients, researchers, pharmaceutical companies and health systems make confident decisions and improve outcomes. Through our unparalleled science, data, technology and laboratory network, we advance diagnostics, accelerate innovation and help address some of the world’s most important health challenges. As we shape the future of healthcare, we are leveraging advanced technologies, intelligent digital solutions and data-driven innovation across our operations to enhance how work gets done and deliver greater value to customers and patients. With our global scale and deep expertise, you’ll have the opportunity to do meaningful work, grow your career and make a real impact on people’s health around the world. Together, we’re improving health and improving lives.\nSr. Analyst, Advanced Analytics\nLocation: Bangalore or Mumbai, India\nFunction: Marketing & Commercial Analytics\nExperience: 5+ years\nEmployment Type: Full-time\nAbout the Role\nLabcorp is hiring a Senior Data Analyst to join the Marketing team and help augment its capability in Market, Product, 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.\nThis 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.\nThe 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.\nWhat You Will Do\nBusiness-Driven Analytics & Decision Support\nPartner with marketing and commercial stakeholders to translate business questions into structured analytical problems\nIdentify where analytics and AI can meaningfully improve decision-making (not just reporting)\nFull program responsibilities: partnering with stakeholders to identify key issues, define the problem, run the required analysis, and translate findings into clear recommendations.\nAI-Enabled Analytics Support (Preferred / Nice to Have)\nUse AI-assisted workflows to speed up data preparation, exploration, and quality checks to support visualization and reporting needs\nProvide occasional supporting analysis (primarily descriptive/diagnostic; predictive/causal is a plus) to add context to dashboards and stakeholder questions\nLeverage AI tools responsibly for:Faster data exploration and pattern detection\nQuery/code assistance\nDrafting chart narratives or dashboard commentary (with human review)\n\nHuman judgment remains central; you are accountable for accuracy and appropriate interpretation of outputs\nExperimentation & Measurement\nDesign and analyze A/B and multivariate experiments to measure marketing effectiveness\nApply causal thinking to quantify incremental impact and ROI\nHelp teams understand what is truly driving performance versus correlation or noise\nDashboards, Automation & Insight Products\nDesign decision-oriented dashboards and performance views for business users\nAutomate recurring analyses to reduce manual effort and increase consistency\nBuild reusable analytics assets rather than one-off analyses, where possible\nCollaboration & Data Stewardship\nWork closely with data engineering, platform, and governance teams to ensure data reliability and usability\nApply appropriate data privacy, compliance, and quality standards in all analyses\nAct as a thought partner to stakeholders, not a ticket-taker\nRequired Qualifications\nBachelor’s degree in quantitative field (Data Science, Statistics, Mathematics, Computer Science, Engineering, or related discipline)\nA minimum of 5 years of experience in analytics supporting business decisions\nStrong hands-on experience with:SQL and querying large, complex datasets. PySpark experience is preferred.\nData analysis and statistical reasoning\nBusiness-facing dashboards and visualizations (Power BI, Tableau)\n\no\nCore Skills & Capabilities\nAnalytics & Technical Skills\nAdvanced SQL and experience working with enterprise data warehouses\nProficiency in Python or R for analysis and modeling\nExperience designing and interpreting experiments (A/B testing)\nAbility to work with imperfect, real-world data and still deliver actionable insights\nAI Readiness (Practical, Not Hype-Driven)\nHands-on experience using AI tools to augment analytics work (e.g., code acceleration, data exploration, insight summarization)\nFamiliarity with Generative AI workflows (e.g., using LLMs for automated sentiment analysis or data normalization)\nStrong judgment on when AI outputs can be trusted vs when deeper validation is required\nCuriosity and continuous-learning mindset toward emerging analytics and AI\n(Deep machine learning engineering is not required.)\nBusiness & Communication Skills\nAbility to translate ambiguous business problems into structured analytics\nStrong data storytelling skills connecting insights to decisions and actions\nConfidence working with senior stakeholders in both arriving at an understanding of what problem they are trying to solve, and communicating the answers in the medium that resonates with them\nBias toward action and measurable business impact\nPreferred Qualifications\nExperience in healthcare, life sciences, or other adjacent industries\nExperience with cloud analytics platforms such as Databricks or Snowflake and tools such as PySpark\nFamiliarity with data privacy and governance concepts (HIPAA, GDPR)\nExperience building reusable dashboards or analytics products\nExperience creating compelling storyboards\nWhy Join Labcorp in this role\nWork on high-impact commercial and marketing decisions at enterprise scale\nBe part of an analytics team redefining how AI and human judgment work together\nMove beyond reporting into true decision intelligence\nBuild skills that remain relevant as analytics and AI continue to evolve\nLabcorp is proud to be an Equal Opportunity Employer:\nLabcorp 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.\nWe encourage all to apply\nIf you are an individual with a disability who needs assistance using our online tools to search and apply for jobs, or needs an accommodation, please visit our accessibility site or contact us at Labcorp Accessibility. 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