{"id":1192407,"url":"https://alion.io/job/hp-inc-senior-data-analyst-engineer","title":"Senior Data Analyst Engineer","company":{"id":72,"name":"HP Inc.","domain":"hp.com","url":"https://alion.io/company/hewlett-packard","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":102,"ghost_share":0,"stale_share":0.725,"repost_share":0,"time_to_fill_p50_days":22,"computed_at":"2026-09-28T05:45:00Z"}},"role":"Data Science","role_family":"Data Science","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":["Sant Cugat del Vallès, Spain"],"countries":["ES"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":50000,"max_usd":131000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":1536},"experience_years_min":4,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"ETL/ELT","optional":false},{"name":"Power BI","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-09-24T17:16:04Z","employer_posted_date":"2026-09-24","last_verified_at":"2026-09-28T19:10:48Z","board_verified":true,"closed_at":null,"days_open":4,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":4},"description":"Senior Data Analyst EngineerDescription -\nJob Summary:\nThe Services & Operations organization has established a strong data foundation and is now focused on transforming data into actionable insights and measurable business outcomes. To accelerate this evolution, we are seeking a highly skilled Senior Data Analyst Engineer to lead our analytics capability and enable data-driven decision making across the organization.\nThis role will be responsible for translating complex data into strategic insights, driving governance and prioritization, and ensuring our investments in data and AI deliver tangible business value. The successful candidate will serve as a bridge between business and technology teams, helping leaders make faster, more informed decisions while improving operational efficiency and organizational performance.\nThis is a high-impact role with broad visibility across Services & Operations and a critical contributor to the Service & Operation organization's data and AI transformation journey.\nKey Responsibilities:\nAnalytics & Data Enablement\nLead the analytics strategy for Services & Operations, aligned with business priorities.\nTurn complex data into actionable insights, KPIs, and recommendations that drive measurable impact.\nImprove data accessibility and usability in partnership with engineering, architecture, and business teams.\nEnsure data platforms support AI, advanced analytics, and future business needs.\n\nData Governance & Prioritization\nDefine and implement governance mechanisms that improve data quality, consistency, reliability, and trust.\nEstablish data standards, documentation practices, and measurement frameworks.\nDrive analytics demand management and prioritization processes to ensure resources focus on the highest-value opportunities.\nPromote a culture of data-driven decision making across the organization.\n\nAI & Advanced Analytics\nEnable AI adoption by preparing high-quality, governed, and business-relevant datasets.\nIdentify opportunities to leverage AI to increase productivity, improve operations, and create business value.\nPartner with technical teams to operationalize AI-enabled insights and intelligent workflows.\nMeasure and communicate the business impact of AI and analytics initiatives.\nEducation:\nBachelor's or Master's degree in Data Science, Computer Science, Statistics, Engineering, Mathematics, Information Systems, or a related discipline.\n4+ years of experience in data analytics, business intelligence, data engineering, or related technical roles.\nKnowledge & Skills:\nAnalytics & Business Intelligence:\nAdvanced SQL, data analysis, and statistical methodologies.\nKPI development and business performance management.\nPower BI and modern visualization platforms.\nForecasting, trend analysis, and predictive analytics.\nData Management & Engineering\nData modeling and semantic layer development.\nETL/ELT design and data pipeline orchestration.\nData governance, quality management, and metadata practices.\nAI & Innovation\nUnderstanding of AI and generative AI applications within enterprise environments.\nFamiliarity with data preparation and governance requirements for AI solutions.\nCross-Org Skills:\nStrong communication skills and the ability to work effectively across technical and non-technical teams\nAnalytical problem-solving skills with a practical, engineering-first approach to complex challenges\nCuriosity, adaptability, and a continuous learning mindset in a fast-evolving technology landscape\nJob -\nData & Information TechnologySchedule -\nFull timeShift -\nNo shift premium (Spain)Travel -\nRelocation -\nEqual 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":4545,"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":["Continuous learning"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":true,"industries":["Laptops","Computer Peripherals","3D Printers & Additive Manufacturing","Printers & Scanners"],"lifecycle":[{"event":"open","at":"2026-09-24T17:16:04Z"}],"liveness":{"score":61,"band":"ok","label":"Likely open","p_open":1,"p_active":0.615,"p_room":1,"age_days":3,"expected_fill_days":22,"reasons":["conf:9","stale_co","velocity","win:early","comp:brand"],"computed_at":"2026-09-28T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/hp-inc-senior-data-analyst-engineer","json_url":"https://alion.io/job/hp-inc-senior-data-analyst-engineer.json","meta":{"generated_at":"2026-09-29T02:28:56Z","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":2230,"day_limit":5000,"remaining_today":2770,"minute_limit":60,"resets_at":"2026-09-30T00:00:00Z"}}}