{"id":3787529,"url":"https://alion.io/job/pfizer-manager-commercial-performance-analytics-","title":"Manager, Commercial Performance Analytics.","company":{"id":3480,"name":"Pfizer","domain":"pfizer.com","url":"https://alion.io/company/pfizer","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"A","score":88,"open_postings":28,"ghost_share":0,"stale_share":0.679,"repost_share":0,"time_to_fill_p50_days":13,"computed_at":"2026-11-07T05:47:08Z"}},"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":["Mexico City, Mexico"],"countries":["MX"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false},{"name":"ETL/ELT","optional":true}],"status":"live","first_seen_at":"2026-11-03T00:00:00Z","employer_posted_date":"2026-11-03","last_verified_at":"2026-11-07T19:02:35Z","board_verified":true,"closed_at":null,"days_open":5,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":5},"description":"Work Location Assignment: Mexico City, must be able to work from assigned Pfizer office 2-3 days per week, or as needed by the business.\nThe Manager, Performance Analytics & Insights is a hands-on individual contributor responsible for developing robust analytical solutions, evaluating commercial performance, and generating actionable insights that support business decision-making. This role combines strong technical capabilities, quantitative problem-solving, and business understanding to transform complex data into reliable analytical assets, performance reporting, and meaningful insights.\nWorking closely with U.S.-based Performance Analytics and Insights (PAI) colleagues, the successful candidate will design, develop, and optimize analytical workflows, support recurring reporting, and translate business questions into evidence-based insights. The role contributes to strengthening Pfizer’s internal analytics capabilities through technical ownership, automation, continuous improvement, and collaborative delivery.\nThe position operates within PAI, part of Global Commercial Analytics (GCA), and does not involve people management responsibilities.\nRole Responsibilities\nTechnical Development & Analytics Solutions\nDesign, develop, and maintain scalable analytics solutions using SQL, Python, R, and related technologies.\nBuild, optimize, and automate datasets, data pipelines, and reporting frameworks to support commercial performance measurement.\nEngineer and integrate data from multiple internal and external sources to create robust analytical datasets.\nDevelop and maintain high-quality analytical assets, including dashboards, reporting tools, and reusable code libraries.\nImprove performance, reliability, and scalability of existing analytics workflows through automation and process optimization.\nLeverage AI, scripting, and emerging analytical technologies to increase efficiency and analytical capabilities.\nAnalysis & Insight Generation\nPerform advanced analyses on patient, HCP, payer, and commercial datasets to identify trends, opportunities, and risks.\nApply statistical, quantitative, and machine learning techniques to solve business problems and generate actionable insights.\nConduct data quality assessments, validation, and troubleshooting to ensure accuracy and consistency of analytical outputs.\nTranslate complex analytical findings into clear insights supported by quantitative evidence.\nCollaboration & Partnership\nPartner closely with US-based PAI colleagues as the primary point of collaboration, supporting shared analytics priorities and delivering against team-defined requirements.\nTranslate information needs surfaced by PAI leads into robust analytical solutions, connecting datasets to tell a clear, compelling story backed by quantitative evidence.\nWork with PAI and broader analytic functions to advance the use of novel data sources and improve reporting processes, tools, and standards.\nBasic Qualifications\nBachelor’s degree in engineering, analytics, statistics, mathematics, computer science, information systems, business, or a related quantitative field.\n5+ years of relevant professional experience in analytics, business intelligence, data analysis, or a related technical analytical role.\nStrong hands-on proficiency in SQL, Python, or R, including the ability to independently develop, troubleshoot, and optimize analytical code for data extraction, transformation, integration, and analysis.\nAdvanced professional English proficiency, both written and verbal, with the ability to independently collaborate with U.S.-based stakeholders, discuss technical concepts, and communicate analytical findings clearly.\nDemonstrated experience integrating and transforming data from multiple sources to develop accurate, reliable analytical datasets.\nAbility to understand, modify, and improve existing analytical code, calculations, and reporting workflows.\nAbility to translate business requirements into structured analytical approaches and independently deliver high-quality analytical solutions.\nPreferred Qualifications\nExperience in pharmaceutical, healthcare, or commercial analytics.\nUnderstanding of commercial performance metrics, including sales, market access, patient journey, or field force KPIs.\nExperience supporting U.S. or global commercial organizations, preferably within international or nearshore analytics teams.\nExperience developing, optimizing, or troubleshooting data pipelines, ETL processes, or automated analytical workflows.\nDemonstrated contributions to improved analytical efficiency, cost reduction, reporting automation, or faster business decision-making.\nEEO (Equal Employment Opportunity) & Employment Eligibility\nPfizer is committed to equal opportunity in the terms and conditions of employment for all employees and job applicants without regard to race, color, religion, sex, sexual orientation, age, gender identity or gender expression, national origin, or disability.\nTo learn more about acceptable and prohibited uses of AI during the recruitment process, please review our candidate AI-use guidelines available on Pfizer Careers.\nMarketing and Market Research","description_format":"text","description_chars":5162,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[{"language":"English","level":"Advanced (C1)","optional":false}]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Athlete Training","Prescription Drugs","Oncology Therapeutics","Infectious Disease 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