{"id":2963237,"url":"https://alion.io/job/apple-product-data-analyst-employee-experience-productivity-ist","title":"Product Data Analyst, Employee Experience & Productivity, IS&T","company":{"id":12,"name":"Apple","domain":"apple.com","url":"https://alion.io/company/apple","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Apple Jobs","truth_index":{"grade":"A","score":94,"open_postings":88,"ghost_share":0,"stale_share":0.023,"repost_share":0.023,"time_to_fill_p50_days":128,"computed_at":"2026-11-05T05:54:30Z"}},"role":"Analytics","role_family":"Analytics","seniority":"middle","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Sunnyvale, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":131000,"max_usd":245000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":1085},"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Looker","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false},{"name":"Tableau","optional":false},{"name":"A/B Testing","optional":true},{"name":"GitHub","optional":true}],"status":"live","first_seen_at":"2026-10-20T22:39:17Z","employer_posted_date":"2026-10-20","last_verified_at":"2026-11-05T22:07:09Z","board_verified":true,"closed_at":null,"days_open":16,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":16},"description":"The difference between data and intelligence is context. This role enriches data with business context to produce insights that enable intelligent decisions. Join Apple's Information Systems and Technology (IS&T) organization, the engine powering Apple. As a member of the Employee Productivity & Support Data Science team, you will use data to improve how Apple's internal productivity tools and platforms evolve. You will pull and prepare data from multiple systems, build dashboards and visualizations, and conduct analyses that help product leaders understand adoption, engagement, and portfolio performance. This role is about interpreting data, extracting insights, and partnering closely with the business to turn those insights into better decisions.\nDescription\nIn this role, you will support IS&T's Product group by building and maintaining the analytical assets it relies on - dashboards, reports, and ad-hoc analyses that surface how Apple's internal productivity tools are performing across the portfolio. You will draw on your expertise in product analytics to understand how employees use internal tools, identify where the experience can improve, and develop metrics that measure adoption, engagement, and value delivery. A core part of the role is partnership: you will work directly with product leaders and program managers to understand their challenges, translate them into analytical work, and deliver findings that are clear, accurate, and actionable. You are not building in isolation - you are a thought partner who understands the business well enough to know what to measure and why it matters. Day to day, you will write SQL to model data from large datasets, build and maintain Tableau dashboards, conduct analyses to identify trends and anomalies, and present your findings to stakeholders at various levels - all while using AI tools to accelerate your analytical work. The ideal candidate is someone who is technically strong, detail-oriented, and equally motivated by the work the data enables as by the data itself.\nMinimum Qualifications\n3+ years of experience working with product analytics data, including feature adoption, user engagement, or platform utilization metrics.\n3+ years of hands-on experience writing SQL to extract, transform, and analyze data from large, multi-source datasets.\n3+ years of experience building dashboards and visualizations in Tableau, Looker, or equivalent.\n1+ years of experience in Python or R for data manipulation and analysis.\n3+ years of experience delivering analytical work in a fast-paced environment with evolving priorities and multiple concurrent stakeholders.\nBachelor's degree and 3+ years of relevant experience in data analytics, business intelligence, data science, or a related quantitative field - or a Master's degree in a quantitative or business discipline with 2+ years of relevant experience.\nPreferred Qualifications\nMaster's degree or PhD in a quantitative or business field (e.g., statistics, data science, economics, operations research, applied mathematics, the natural sciences, or an MBA with analytics concentration)\nWorking knowledge of product management processes and how data informs roadmap prioritization, investment decisions, and portfolio rationalization.\nWorking knowledge of clickstream data, A/B testing frameworks, or feature flagging systems as applied to product decisions.\nProficiency in version control and collaborative documentation practices using tools like GitHub.\nKnowledge of statistical modeling, including hypothesis testing, regression, and foundational causal inference methods.\nTrack record of applying AI to real-world data analytics and general productivity challenges.\nAbility to communicate analytical findings clearly to both technical and non-technical audiences, adapting depth and format to the situation.\nComfort with ambiguity; ability to define the analytical approach when the business question is loosely framed.\nProven ability to build trust with leaders across diverse functional areas.","description_format":"text","description_chars":4031,"description_truncated":false,"requirements":{"experience_years_min":3,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":true},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Operating Systems","Laptops","Smartwatches & Fitness Trackers","Tablets"],"lifecycle":[{"event":"open","at":"2026-10-20T23:24:51Z"}],"visa":[{"country":"US","licensed_sponsor":true,"evidence":"H-1B filings in 12 months: 6,350 · green card filings: 37","filings_12m":6350,"filings_prev_12m":6527,"green_card_filings_12m":37,"median_offered_wage_usd":177355,"route":null,"cap_exempt":false,"checked_at":"2026-10-29T16:27:21+00:00","sources":["US Department of Labor: LCA disclosure data (H-1B, H-1B1, E-3)","US Department of Labor: PERM disclosure data (green cards)"],"filings_for_role_12m":239}],"liveness":{"score":99,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.993,"p_room":1,"age_days":15,"expected_fill_days":128,"reasons":["conf:4","urgency","velocity","win:early","comp:brand"],"computed_at":"2026-11-05T05:54:30Z"},"pay":null,"html_url":"https://alion.io/job/apple-product-data-analyst-employee-experience-productivity-ist","json_url":"https://alion.io/job/apple-product-data-analyst-employee-experience-productivity-ist.json","meta":{"generated_at":"2026-11-06T00:06:06Z","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":256,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-07T00:00:00Z"}},"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":12},"rest":"https://alion.io/mcp/rest/get_company?id=12"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fapple-product-data-analyst-employee-experience-productivity-ist"},{"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%2Fapple-product-data-analyst-employee-experience-productivity-ist"},{"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%2Fapple-product-data-analyst-employee-experience-productivity-ist"},{"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/apple-product-data-analyst-employee-experience-productivity-ist\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fapple-product-data-analyst-employee-experience-productivity-ist"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":2963237}},{"tool":"search_jobs","arguments":{"company":"apple.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":2963237},"note":"people open to offers who fit this vacancy"}],"note":"The same data through MCP tools: https://alion.io/mcp/open needs no sign-in (compact searches, postings, people); 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