{"id":3030161,"url":"https://alion.io/job/hp-big-data-laser-analyst","title":"Big Data Laser Analyst","company":{"id":2088298,"name":"HP","domain":"hewlett-packard.de","url":"https://alion.io/company/hewlett-packard-de","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":80,"open_postings":60,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":15,"computed_at":"2026-10-22T06:10:10Z"}},"role":"Analytics","role_family":"Analytics","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":["Vancouver, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":83000,"max":127800,"currency":"USD","period":"year","gross":null,"usd_annual":127800},"salary_estimate":null,"experience_years_min":4,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Confluence","optional":false},{"name":"Databricks","optional":false},{"name":"Git","optional":false},{"name":"Jira","optional":false},{"name":"Microsoft Excel","optional":false},{"name":"Power BI","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false},{"name":"Tableau","optional":false},{"name":"Spark","optional":true}],"status":"live","first_seen_at":"2026-07-09T00:00:00Z","employer_posted_date":"2026-07-09","last_verified_at":"2026-10-22T11:18:23Z","board_verified":true,"closed_at":null,"days_open":105,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":105},"description":"Big Data Laser AnalystDescription -\nJob Summary\nWe are seeking a highly analytical, business-oriented Data Analyst to support the Print Supplies business. In this role, you will translate consumer and enterprise print telemetry into trusted metrics, dashboards, and actionable insights, with a primary focus on laser printer data. You will partner closely with data engineers and data scientists to improve data reliability, define KPI and metric semantics, and influence cross-functional decisions through clear data storytelling.\n Responsibilities\nOwn laser print telemetry business insights for the Print Supplies organization, from problem framing and metric definition through analysis, visualization, and executive-ready recommendations.\nPartner with stakeholders to clarify goals, translate business questions into analytical requirements, define critical KPIs, and deliver insights that drive decisions.\nProvide consultative support and ad hoc analyses with clear hypotheses, methods, and assumptions; produce reusable queries, datasets, and shareable outputs with documented limitations.\nCollaborate with internal and external partners to align on telemetry instrumentation, data collection methodology, and platform differences to ensure consistent interpretation across printer platforms.\nInvestigate data quality issues (completeness, accuracy, timeliness), perform root-cause analysis across pipelines and sources, and communicate impacts and remediation paths with appropriate caveats.\nEnable self-service analytics by documenting dashboards and KPI definitions, and coach users on correct interpretation and common pitfalls.\nDesign and maintain measurement frameworks (e.g., adoption, usage, retention, share, funnel/driver analyses); when applicable, support experiment or pre/post evaluation and interpret results for stakeholders.\nCreate clear narratives through written summaries, presentations, and recurring reporting that highlight trends, drivers, risks, and recommended actions for leadership and partner teams. • Provide guidance and mentoring to less- experienced staff members. • Solve difficult and complex problems with a fresh perspective, demonstrating good judgment in selecting creative solutions and managing projects independently. • Lead moderate to high complexity projects, delivering professionally written reports, and supports the realization of operational and strategic plans. Education & Experience Recommended • Four-year or Graduate Degree in Mathematics, Statistics, Economics, Computer Science, or any other related discipline or commensurate work experience or demonstrated competence. • Typically has 4-7 years of work experience, preferably in data analytics, database management, statistical analysis, or a related field or an advanced degree with 3-5 years of work experience. Preferred Certifications • Programming Language/s Certification (SQL, Python, or similar) Knowledge & Skills\nAnalytics: exploratory analysis, root-cause analysis, and KPI design\nSQL: complex joins, CTEs, window functions, query performance optimization\nPython (and/or PySpark) for analysis, data validation, and automation. Familiar with VSCode and Databricks Ideally\nAbility to interpret telemetry and pipeline outputs in business context, including communicating uncertainty and known limitations\nComfort working across multiple data sources/layers and explaining differences in source-of-truth, grain, and transformations\nComfort with modern analytics tooling (including AI-assisted development) while maintaining reproducibility and reviewable outputs\nDashboarding & data visualization: Power BI, Tableau, Qlik, advanced excel / PowerPoint or similar; ability to build stakeholder-ready reporting\nData quality and governance: profiling, anomaly detection, metric validation, and documentation\nStrong documentation habits for metric definitions, data lineage, and stakeholder guidance; familiarity with version control (e.g., Git) a plus. Familiar with Jira and Confluence.\nApplied statistics: sampling, confidence intervals, and basic experiment/pre-post evaluation\nCross-Org Skills\nEffective Communication\nResults Orientation\nLearning Agility\nDigital Fluency\nCustomer Centricity\nCollaboration across technical and non-technical teams\nImpact & Scope\nImpacts function by providing analytics and data quality validation that supports business-critical reporting and stakeholder decision-making for laser telemetry KPIs\nServes as a key point of contact for laser telemetry interpretation and investigation requests, partnering across teams to drive consistent definitions and reliable use of outputs Complexity • Responds to moderately complex issues within established guidelines. Disclaimer • This job description describes the general nature and level of work performed in this role. It is not intended to be an exhaustive list of all duties, skills, responsibilities, knowledge, etc. These may be subject to change and additional functions may be assigned as needed by management.\nSalary\nThe pay range for this role is$83,000 to $127,800 USD annually with additional opportunities for pay in the form of bonus and/or equity (applies to United States of America candidates only). Pay varies by work location, job-related knowledge, skills, and experience.\nBenefits:\nHP offers a comprehensive benefits package for this position, including:\nHealth insurance\nDental insurance\nVision insurance\nLong term/short term disability insurance\nEmployee assistance program\nFlexible spending account\nLife insurance\nGenerous time off policies, including;\n4-12 weeks fully paid parental leave based on tenure\n11 paid holidays\nAdditional flexible paid vacation and sick leave (US benefits overview)\nThe compensation and benefits information is accurate as of the date of this posting. The Company reserves the right to modify this information at any time, with or without notice, subject to applicable law.\nJob -\nData & Information TechnologySchedule -\nFull timeShift -\nNo shift premium (United States of America)Travel -\nRelocation -\nNoEqual Opportunity Employer (EEO)-\nHP, Inc. provides equal employment opportunity to all employees and prospective employees, without regard to race, color, religion, sex, national origin, ancestry, citizenship, sexual orientation, age, disability, or status as a protected veteran, marital status, familial status, physical or mental disability, medical condition, pregnancy, genetic predisposition or carrier status, uniformed service status, political affiliation or any other characteristic protected by applicable national, federal, state, and local law(s).\nPlease be assured that you will not be subject to any adverse treatment if you choose to disclose the information requested. This information is provided voluntarily. The information obtained will be kept in strict confidence.\nFor more information, review HP’sEEO Policy or read about your rights as an applicant under the law here: “ Know Your Rights: Workplace Discrimination is Illegal \"","description_format":"text","description_chars":7006,"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":["Dental insurance","Equity","Health insurance","Life insurance","Parental leave","Vision insurance"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":true,"industries":["Laptops","Printers & Scanners"],"lifecycle":[{"event":"open","at":"2026-10-21T20:11:31Z"}],"visa":[],"liveness":{"score":3,"band":"cold","label":"Long shot","p_open":1,"p_active":0.112,"p_room":0.28,"age_days":105,"expected_fill_days":15,"reasons":["conf:0","stale_co","velocity","win:tail","crowd:brand"],"computed_at":"2026-10-22T06:10:10Z"},"pay":{"stated_usd_annual":127800,"is_top_pay":true},"html_url":"https://alion.io/job/hp-big-data-laser-analyst","json_url":"https://alion.io/job/hp-big-data-laser-analyst.json","meta":{"generated_at":"2026-10-22T12:20:17Z","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":10703,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-23T00:00:00Z"}},"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":2088298},"rest":"https://alion.io/mcp/rest/get_company?id=2088298"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fhp-big-data-laser-analyst"},{"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%2Fhp-big-data-laser-analyst"},{"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%2Fhp-big-data-laser-analyst"},{"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/hp-big-data-laser-analyst\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fhp-big-data-laser-analyst"}]}