{"id":993569,"url":"https://alion.io/job/takeda-people-data-insights-engineer","title":"People Data & Insights Engineer","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":"B","score":82,"open_postings":25,"ghost_share":0,"stale_share":0.72,"repost_share":0,"time_to_fill_p50_days":22,"computed_at":"2026-09-25T05:45:01Z"}},"role":"Data Science","role_family":"Data Science","seniority":"middle","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Santa Fe, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":33000,"max_usd":84000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":431},"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Databricks","optional":false},{"name":"Dimensional Modeling","optional":false},{"name":"Python","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false},{"name":"Time Series Forecasting","optional":false}],"status":"live","first_seen_at":"2026-09-02T00:00:00Z","employer_posted_date":"2026-09-02","last_verified_at":"2026-09-25T23:22:12Z","board_verified":true,"closed_at":null,"days_open":24,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":24},"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\nWe are seeking a People Data & Insights Engineer to build and scale the data foundation that powers People Analytics at Takeda. This role sits at the intersection of data engineering and workforce insights, focusing on transforming complex HR and employee experience data into structured and reliable data assets.\nThis position is embedded within Takeda’s People Analytics and Capabilities team and requires deep engagement with HR use cases such as talent metrics, employee listening, and workforce planning, ensuring data is not only technically sound, but analytically meaningful.\nHow you will contribute\nDesign and maintain robust pipelines that integrate HR systems (HRIS, ATS, survey/listening platforms, etc.) into curated, reusable datasets. Build data models that support consistent reporting, longitudinal analysis (e.g., workforce changes over time), and deeper insights into employee experience.\n\nPartner closely with People Analysts and HR stakeholders to understand evolving business questions and embed them into well-designed data models and pipelines.\n\nImplement validation checks, reconciliation logic, and monitoring processes to ensure the integrity of people data across sources and time.\n\nBuild and maintain datasets that power consistent reporting across core People Analytics domains (e.g., hiring, retention, mobility, skills, engagement).\n\nCreate clear documentation and reusable frameworks to improve how people data is modeled, accessed, and reused across the function.\n\nApply AI-assisted approaches (e.g., code generation, data exploration, documentation, and troubleshooting) to accelerate development, improve code quality, and streamline pipeline and data model creation.\n\nSkills and qualifications\nBachelor’s degree in a quantitative field (e.g., Data Science, Computer Science, Economics, Analytics) or equivalent experience\n\n~3-6 years of experience in analytics, data engineering, or people analytics\n\nAdvanced SQL and experience working with large, complex datasets\n\nProficiency in Python (or similar) for data processing and automation\n\nExperience with cloud data platforms (e.g., Databricks, Snowflake)\n\nStrong experience designing analytical data models (e.g., dimensional modeling, time-series structures)\n\nProficiency communicating in English language is mandatory\n\nExperience working with HR data (HRIS, recruiting, survey/listening platforms) or other complex behavioral datasets\n\nAbility to translate ambiguous business questions into structured data solutions\n\nStrong attention to detail and commitment to data quality\n\nLocations\nMEX - Santa FeWorker Type\nEmployeeWorker Sub-Type\nRegularTime Type\nFull time","description_format":"text","description_chars":3017,"description_truncated":false,"requirements":{"experience_years_min":3,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[{"language":"English","level":"Upper-Intermediate (B2)","optional":false}]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Prescription Drugs","Oncology Therapeutics","Neurology & CNS Therapeutics","Rare Disease Therapeutics"],"lifecycle":[{"event":"open","at":"2026-09-17T05:48:52Z"}],"liveness":{"score":28,"band":"fade","label":"Fading","p_open":1,"p_active":0.51,"p_room":0.55,"age_days":23,"expected_fill_days":22,"reasons":["conf:0","stale_co","velocity","win:tail","comp:brand"],"computed_at":"2026-09-25T05:45:01Z"},"pay":null,"html_url":"https://alion.io/job/takeda-people-data-insights-engineer","json_url":"https://alion.io/job/takeda-people-data-insights-engineer.json","meta":{"generated_at":"2026-09-26T03:33:01Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","usage":{"tier":"crawler","counted_by":"address","units_charged":1,"used_today":3783,"day_limit":5000,"remaining_today":1217,"minute_limit":60,"resets_at":"2026-09-27T00:00:00Z"}}}