{"id":2872721,"url":"https://alion.io/job/maleda-tech-lead-advanced-analyst-consumer-product","title":"Lead Advanced Analyst, Consumer Product","company":{"id":3856822,"name":"Maleda Tech","domain":"maleda-tech.com","url":"https://alion.io/company/maleda-tech","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Breezy","truth_index":null},"role":"Analytics","role_family":"Analytics","seniority":"lead","employment_type":"contractor","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"posting_text","remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":[],"countries":[],"hiring_countries":["US"],"hiring_countries_total":1,"salary":{"min":110,"max":128,"currency":"USD","period":"hour","gross":null,"usd_annual":256000},"salary_estimate":null,"experience_years_min":6,"visa_sponsorship":true,"relocation_package":false,"has_equity":false,"technologies":[{"name":"ChatGPT","optional":false},{"name":"Claude","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false}],"status":"closed","first_seen_at":"2026-10-19T17:12:09Z","employer_posted_date":"2026-10-19","last_verified_at":"2026-10-22T19:39:16Z","board_verified":false,"closed_at":"2026-10-22T19:39:16Z","days_open":3,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":3},"description":"About the Role\n\nWe are seeking a Lead Advanced Analyst to support a consumer-facing mobile app product team. In this role, you will drive strategic business and product decisions through in-depth data analysis, experimentation, statistical modeling, and the development of metrics and reporting tools. You will partner with cross-functional teams and senior leadership to turn complex data into clear, actionable insights.\nKey Responsibilities\nWork with large, complex data sets to solve a wide range of problems using varied analytical and statistical approaches.\nApply quantitative analysis, experimentation, data mining, and forecasting to find trends and patterns that guide decisions.\nCollaborate with Product, Engineering, Finance, Marketing, Operations, Data Science, Analytics, Data and Analytical Engineering, Capacity Planning, and other teams to deliver actionable insights.\nDesign, run, and analyze experiments to measure feature impact and guide product iterations, using causal methods when randomized trials aren’t available.\nDesign and build metrics and dimensions to monitor product and business performance.\nBuild reporting and analytical tools that help stakeholders make data-driven decisions.\nPresent findings and recommendations clearly and concisely to stakeholders, including senior leadership.\nStay current on industry trends and new quantitative and qualitative analysis techniques.\nUse AI tools to automate repetitive tasks and empower stakeholders.\nQualifications\nRequired\n6+ years of industry experience and a degree in a quantitative field such as Statistics, Econometrics, Computer Science, Engineering, Mathematics, Data Science, or Operations Research.\nPrior experience in an advanced analytics or product data science role.\nStrong business acumen and strategic thinking, with the ability to do rigorous analysis and make sound judgments.\nExcellent communication skills, including explaining complex concepts in accessible terms to varied audiences.\nProven stakeholder management skills and the ability to collaborate and influence across functions.\nExperience partnering with product teams on analytics, data science, experimental design, and measurement.\nExperience analyzing A/B experiments and performing statistical data analysis.\nExperience designing and building metrics, from concept through prototypes with data pipelines.\nStrong expertise in Python or R, plus SQL.\nExperience with AI-assisted analytics tools such as Claude or ChatGPT.\nAn agile, growth-minded approach, with a track record of taking projects from idea to impact.\nPreferred\nMaster’s or PhD in a quantitative field.\nKey Details\nStart date: November 17, 2026\nDuration: Approximately 12 months (through November 14, 2027)\nLocation: Remote (within the U.S.)\nWork schedule: 40 hours per week, 8 hours per day, 5 days per week\nPay rate range: $110-$128/hour + benefits\nWork Authorization: Must be authorized to work in the U.S. without sponsorship.\nEngagement: W-2 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