{"id":4085007,"url":"https://alion.io/job/lenovo-analyst-marketing-data-analytics","title":"Analyst, Marketing Data Analytics","company":{"id":15044,"name":"Lenovo","domain":"lenovo.com","url":"https://alion.io/company/lenovo","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Avature","truth_index":{"grade":"A","score":100,"open_postings":13,"ghost_share":0,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":13,"computed_at":"2026-11-11T05:49:22Z"}},"role":"Analytics","role_family":"Analytics","seniority":"senior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Markham, Canada"],"countries":["CA"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Domo","optional":false},{"name":"Power BI","optional":false},{"name":"Tableau","optional":false}],"status":"live","first_seen_at":"2026-11-11T18:36:39Z","employer_posted_date":"2026-11-11","last_verified_at":"2026-11-11T18:36:39Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"Responsibilities:\nOwn NA Marketing performance tracking, executive scorecards, and recurring business performance readouts, connecting results across the end-to-end customer journey.\nDefine the analytical and reporting requirements needed to answer key business questions, partnering with the NA Reporting team to ensure the right data, views, and outputs are available.\nAnalyze marketing performance across brand, campaigns, digital, events, demand generation, lead progression, pipeline, revenue, and ROI to identify trends, drivers, gaps, and opportunities.\nTrack and connect key funnel metrics-including awareness, consideration, engagement, MQLs, SQLs, conversion, velocity, pipeline contribution, and revenue impact-to provide a more complete view of marketing effectiveness.\nTranslate complex data into clear executive narratives, insights, implications, and recommendations that support BMS reviews, strategic planning, optimization, and leadership decision-making.\nServe as a key analytics connector across NA Reporting, WW Insights, WW Analytics, Lead Development, Marketing Ops, Sales, and other relevant teams to integrate data, insights, and performance benchmarks.\nEvaluate performance across campaigns, channels, customer segments, accounts, and routes to market to identify differences in effectiveness and areas for improvement.\nSupport the development and evolution of KPIs, dashboards, measurement frameworks, common data definitions, and data structures that improve consistency, scalability, and visibility across NA Marketing.\nMonitor data quality, attribution, lead-source tracking, taxonomy, and reporting consistency; investigate discrepancies and coordinate resolution with the appropriate data or process owners.\nUse historical performance, customer insights, market inputs, and available benchmarks to identify patterns and opportunities that inform planning and marketing strategy.\nIdentify opportunities to simplify, automate, and improve the consolidation, analysis, and reporting of marketing data.\nProvide input into the evolution of the NA Marketing analytics and reporting roadmap, including data sources, tools, dashboards, capabilities, processes, and measurement gaps.\nRequirements\n+8 years of relevant work experience.\nStrong experience in marketing analytics, performance measurement, business intelligence, or related data-driven marketing disciplines.\nStrong understanding of full-funnel marketing measurement, attribution and the relationship between marketing activity, demand, pipeline, revenue and ROI.\nDemonstrated ability to combine multiple data sources, identify meaningful relationships and translate analysis into actionable business insights.\nProficiency with BI and visualization tools such as Power BI, DOMO, Tableau or similar.\nStrong PowerPoint and data-storytelling skills, including development of executive-ready presentations and recommendations.\nStrong analytical, critical-thinking, problem-solving and organizational skills.\nStrong cross-functional communication and collaboration skills, with the ability to operate effectively in a fast-paced, high-visibility environment.\nExperience with ABM, intent data, segmentation or content-led campaigns.\nBachelor’s degree or equivalent experience preferred. 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