{"id":993976,"url":"https://alion.io/job/takeda-principal-analyst-patient-access-analytics-coe","title":"Senior Analyst, Patient Access Analytics COE","company":{"id":5984,"name":"Takeda Pharmaceutical","domain":"takeda.com","url":"https://alion.io/company/takeda","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"A","score":87,"open_postings":43,"ghost_share":0,"stale_share":0.512,"repost_share":0,"time_to_fill_p50_days":25,"computed_at":"2026-10-23T05:54:15Z"}},"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":"structured","locations":["Bengaluru, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":20000,"max_usd":40000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":26},"experience_years_min":4,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Databricks","optional":false},{"name":"Power BI","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false},{"name":"Tableau","optional":false}],"status":"live","first_seen_at":"2026-08-31T00:00:00Z","employer_posted_date":"2026-10-16","last_verified_at":"2026-10-23T05:35:51Z","board_verified":true,"closed_at":null,"days_open":53,"trust":{"level":"ok","repost_count":1,"flags":[],"days_open":53},"description":"By clicking the “Apply” button, I understand that my employment application process with Takeda will commence and that the information I provide in my application will be processed in line with Takeda’s Privacy Notice and Terms of Use. I further attest that all information I submit in my employment application is true to the best of my knowledge.\nJob Description\nThe Future Begins Here\nAt Takeda, we are leading digital evolution and global transformation. By building innovative solutions and future-ready capabilities, we are meeting the need of patients, our people, and the planet.\nBengaluru, the city, which is India’s epicenter of Innovation, has been selected to be home to Takeda’s recently launched Innovation Capability Center. We invite you to join our digital transformation journey. In this role, you will have the opportunity to boost your skills and become the heart of an innovative engine that is contributing to global impact and improvement. \nAt Takeda’s ICC we Unite in Diversity\nTakeda is committed to creating an inclusive and collaborative workplace, where individuals are recognized for their backgrounds and abilities they bring to our company. We are continuously improving our collaborators journey in Takeda, and we welcome applications from all qualified candidates. Here, you will feel welcomed, respected, and valued as an important contributor to our diverse team\nOBJECTIVES / PURPOSE\nWe are seeking a strong Senior Analyst to join Takeda's GCC Commercial Analytics & Insights (CA&I) organization in India. This role carries significant individual analytical ownership across access analytics workstreams, bridging execution-level work with emerging stakeholder-facing responsibilities. The Senior Analyst is a critical analytical contributor who supports patient access, payer performance, reimbursement insights, and access-related business decisions.\nOwn and independently deliver a portfolio of mid-to-high complexity access analytics workstreams that inform US market access strategy, patient access optimization, reimbursement performance, and account-level commercial decisions.\nApply advanced proficiency in access and commercial datasets - including claims, specialty pharmacy, managed care, formulary, HUB/patient support, prescription, and reimbursement data - to generate decision-ready insights.\nDesign and execute payer and access performance analyses, reimbursement trend assessments, access pull-through measurement, account segmentation, and patient support program analytics. Own patient journey analytics spanning enrollment, benefits verification and prior authorization, copay and affordability, adherence, and patient support program performance.\nServe as an emerging analytical thought leader within the GCC team - contributing to access analytics methodology, reporting standards, and informal mentoring of Analyst colleagues.\nACCOUNTABILITIES\nAccess Analytics and Insight Generation\nOwn end-to-end delivery of assigned access analytics workstreams, producing reports and dashboards that track access performance, reimbursement dynamics, payer/account trends, and patient support program metrics.\nIntegrate and analyze diverse data sources - including claims, specialty pharmacy, managed care, formulary, prescription, HUB, and access/reimbursement datasets - to identify patient access barriers and commercial opportunities.\nAnalyze account buying patterns, formulary/access dynamics, access pull-through, and provider or account-level performance across relevant geographies, channels, and customer segments.\nLead custom access deep-dives and ad hoc analysis requests with independent hypothesis formulation, rigorous methodology, and well-documented, insight-rich outputs.\nPatient Journey and Support Program Analytics\nAnalyze the end-to-end patient access journey - enrollment to first fill, time to therapy, referral-to-shipment cycle time, and abandonment - diagnosing where and why patients stall at each stage of the funnel.\nMeasure benefits verification, prior authorization, and appeals performance, including turnaround times, approval and denial rates, denial reason drivers, appeal overturn rates, and payer-level PA burden.\nAssess copay and affordability dynamics - copay program utilization, patient out-of-pocket burden, buy-down and leakage, foundation and patient assistance program support, and accumulator/maximizer impact.\nEvaluate persistency, adherence, discontinuation drivers, and restart behavior to quantify patient retention and identify intervention points across the treatment lifecycle.\nAnalyze specialty pharmacy and distribution channel performance, including triage and transfer patterns, dispense to ship cycle times and free goods - bridge, and QuickStart program utilization.\nEvaluate patient support program effectiveness, including service-level impact on time to therapy and persistency, and performance oversight of HUB and vendor partners.\nReporting, Data Quality and Operational Excellence\nDesign and maintain Tableau or Power BI dashboards and reporting tools that clearly communicate access KPIs, payer and account segmentation, reimbursement trends, and patient access funnel performance.\nDevelop and maintain business rules, quality checks, and documentation for access-related datasets, ensuring consistency in metric definitions, source logic, and refresh routines.\nProactively identify opportunities to automate and scale recurring access reporting workflows using SQL, Python, or Databricks, improving reliability and reducing manual effort.\nStakeholder Collaboration and Communication\nPartner with GCC Managers and US Market Access, Patient Services, Field Access , Access Strategy, Commercial Analytics, and Brand stakeholders to clarify business questions and analytical requirements.\nSynthesize findings from multiple access and commercial data sources into cohesive, decision-oriented narratives with clear implications for payer strategy, account planning, and patient access improvement.\nProvide informal mentoring and quality guidance to Analyst colleagues, reviewing outputs, explaining access data considerations, and supporting consistent analytical standards.\nContribute to team knowledge management by documenting access data source guides, KPI definitions, analytical methods, and reusable query libraries.\nKNOWLEDGE, SKILLS & EXPERIENCE\nEducation:\nBachelor's Degree required in Statistics, Data Science, Life Sciences, Computer Science, Business, or a related quantitative field.\nMaster's degree or MBA in a relevant analytical, healthcare, or business field is strongly preferred.\nExperience:\n4-5 years of experience in US pharmaceutical commercial analytics, market access analytics, healthcare analytics, or related analytics roles, with demonstrated independent ownership of deliverables.\nDeep working knowledge of access and commercial datasets, including claims, specialty pharmacy, managed care, formulary, HUB/patient support, prescription, and reimbursement data. Working knowledge of copay adjudication, benefits verification, prior authorization, and patient support case management data is required.\nAdvanced SQL proficiency; working knowledge of Python or R for analytical scripting and workflow automation.\nStrong experience with Tableau or Power BI for access performance dashboards, KPI reporting, and business-facing visualization.\nExposure to Databricks or cloud-based analytics platforms is preferred.\nExperience supporting US Market Access, Patient Services, Commercial Analytics, or Brand teams is strongly preferred.\nHands-on experience with patient-level access data sources - HUB/case management, copay adjudication, specialty pharmacy dispense and status feeds, and patient-level longitudinal claims.\nSkills & Competencies:\nAccess Data Analysis - Independently designs and executes analyses using payer, account, reimbursement, and patient access datasets; interprets findings with strong domain context.\nPayer and Account Insights - Translates access trends, formulary dynamics, and account behavior into actionable recommendations for market access and commercial stakeholders.\nTechnical Proficiency - Advanced SQL; working Python/R; Tableau/Power BI; growing fluency in Databricks or cloud platforms.\nData Storytelling - Synthesizes access and commercial findings into clear narratives with explicit business implications and practical recommendations.\nStakeholder Communication - Communicates analytical findings effectively to Market Access, Patient Services, Commercial Analytics, and Brand partners.\nAutomation and Efficiency - Proactively identifies and implements workflow improvements using code, pipelines, or process redesign.\nInformal Mentorship - Provides practical guidance to junior analysts on access data interpretation, analytical techniques, and quality standards.\nPatient Journey Analytics - Analyzes the patient access funnel end to end, including enrollment to first-fill conversion, time to therapy, benefits verification and prior authorization outcomes, abandonment, and persistency.\nTAKEDA LEADERSHIP BEHAVIORS\nIn alignment with Takeda's Values-Based Culture, this role requires demonstration of the following leadership behaviors:\nThink Strategically - Demonstrate strategic enterprise thinking to find innovative ways to serve patients.\nCollaborate Cross-Functionally - Build diverse teams that deliver results while fostering inclusion.\nDrive Accountability - Execute with excellence and hold oneself and others accountable.\nDevelop Talent - Attract, develop, and retain top talent, building capabilities for the future.\nOther Benefits: It is our priority to provide competitive compensation and a benefit package that bridges your personal life with your professional career.\nAmongst our benefits are:\n Second Shift Timing: 2:00 PM - 11:00 PM IST.\nCompetitive Salary + Performance Annual Bonus\nComprehensive Healthcare Insurance Plans for self, spouse, and children\nGroup Term Life Insurance and Group Accident Insurance programs\nEmployee Assistance Program\nBroad Variety of learning platforms\nDiversity, Equity, and Inclusion Programs\nReimbursements - Home Internet & Mobile Phone\nEmployee Referral Program\nLeaves - Paternity Leave (4 Weeks) , Maternity Leave (up to 26 weeks), Bereavement Leave (5 calendar days)\nABOUT ICC IN TAKEDA:\nTakeda is leading a digital revolution. We’re not just transforming our company; we’re improving the lives of millions of patients who rely on our medicines every day.\nAs an organization, we are committed to our cloud-driven business transformation and believe the ICCs are the catalysts of change for our global organization.\nLocations\nIND - BengaluruWorker Type\nEmployeeWorker Sub-Type\nRegularTime Type\nFull time","description_format":"text","description_chars":10730,"description_truncated":false,"requirements":{"experience_years_min":4,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":["Equity","Life insurance"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Prescription Drugs","Oncology Therapeutics","Neurology & CNS Therapeutics","Rare Disease Therapeutics"],"lifecycle":[{"event":"open","at":"2026-09-17T06:17:34Z"},{"event":"close","at":"2026-09-17T18:33:41Z"},{"event":"reopen","at":"2026-10-16T09:32:20Z"}],"visa":[],"liveness":{"score":13,"band":"cold","label":"Long shot","p_open":1,"p_active":0.457,"p_room":0.28,"age_days":53,"expected_fill_days":25,"reasons":["conf:0","stale_co","velocity","win:tail","crowd:brand"],"computed_at":"2026-10-23T05:54:15Z"},"pay":null,"html_url":"https://alion.io/job/takeda-principal-analyst-patient-access-analytics-coe","json_url":"https://alion.io/job/takeda-principal-analyst-patient-access-analytics-coe.json","meta":{"generated_at":"2026-10-23T08:11:29Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":13064,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-24T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":5984},"rest":"https://alion.io/mcp/rest/get_company?id=5984"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Ftakeda-principal-analyst-patient-access-analytics-coe"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Ftakeda-principal-analyst-patient-access-analytics-coe"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Ftakeda-principal-analyst-patient-access-analytics-coe"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/takeda-principal-analyst-patient-access-analytics-coe\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Ftakeda-principal-analyst-patient-access-analytics-coe"}]}