{"id":2703638,"url":"https://alion.io/job/jpmorganchase-quant-analytics-manager-marketing","title":"Quant Analytics Manager - Marketing","company":{"id":257,"name":"JPMorganChase","domain":"jpmorganchase.com","url":"https://alion.io/company/jpmorganchase","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Oracle","truth_index":{"grade":"A","score":95,"open_postings":723,"ghost_share":0.01,"stale_share":0.342,"repost_share":0.087,"time_to_fill_p50_days":8,"computed_at":"2026-10-20T05:45:00Z"}},"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":["Plano, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":102000,"max_usd":197000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":1877},"experience_years_min":6,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"ETL/ELT","optional":false},{"name":"Python","optional":false},{"name":"SAS","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-10-14T16:48:16Z","employer_posted_date":"2026-10-14","last_verified_at":"2026-10-21T03:30:26Z","board_verified":true,"closed_at":null,"days_open":6,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":6},"description":"As a VP, Marketing Analytics Manager, you will manage and deliver analytics across the end-to-end marketing campaign lifecycle, including opportunity planning, financial business case development, impact modeling, test design, execution support, reporting, and financial performance measurement, with a focus on marketing acquisition campaigns. This role partners closely with Marketing, Modeling, Finance, and Data & Analytics (D&A) stakeholders to develop, design, implement, and track strategic campaigns. The successful candidate is analytically and technically strong, communicates clearly with senior stakeholders, operates with a consultative mindset, and brings innovative analytical approaches to convert complex data into actionable insights.\nJob Responsibilities\nLead financial and analytical optimization of marketing programs throughout the lifecycle: opportunity sizing, targeting, test design, execution support, performance reporting, and insights.\n Own stakeholder relationship management and delivery for assigned marketing partners (book of work): intake, prioritization, scoping, timelines, and outputs; align work to business goals and campaign calendars.\nDrive experimentation strategy and measurement rigor, including hypothesis framing, test/control design, success metrics, and post-test readouts; support list execution requirements and measurement feasibility.\nApply predictive models and measurement insights to ongoing marketing investment planning and optimization, informing audience, offer, channel, and funding decisions to maximize incremental growth and value.\n\nDevelop analytic assets and frameworks to efficiently evaluate campaign incrementality, profitability, and ROI (e.g., forecast/proforma vs. actuals, attribution/measurement approaches where relevant).\n\nLeverage and help evolve the analytics toolset, including Snowflake and emerging AI-enabled analytical applications, to improve speed, scale, and consistency of insights.\n Collaborate across functions (modeling, finance, marketing channels, and execution/delivery teams) to ensure solutions are implementable, controlled, and aligned to standards.\nAdvocate for and define data requirements needed to monitor performance, targeting, and execution; partner with data teams to address data gaps, quality, and lineage considerations.\nMaintain and enhance processes and controls supporting measurement quality, repeatability, and auditability of results.\nCoach and develop junior team members, setting standards for analytical methods, documentation, and stakeholder-ready storytelling.\nRequired Qualifications, capabilities and skills:\nProven hands-on experience delivering financial analytics and performance insights across levels of management, including campaign test designs, estimation proformas, and actual performance measurement.\n6+ years of related Marketing Data & Analytics experience.\nMaster’s degree in a related field, or Bachelor’s degree + 5 years experience in a related discipline.\nExceptional collaboration and interpersonal skills; ability to explain complex quantitative topics (e.g., statistics, algorithms, data structures) clearly and influence decision-making across business and technical partners.\nDemonstrated experience with business marketing strategy and tactical lifecycle execution.\nProficiency in data analysis languages/tools such as SQL, Python, SAS, R (or comparable).\nExperience with relational databases and big data platforms, including Snowflake.\nStrong analytical reasoning, interpretive ability, and structured problem solving.\nTechnical understanding of data extraction, transformation, and load (ETL/ELT) concepts and how data flows impact analytics outcomes.\nExperience with dynamic, interactive self-serve BI tools (dashboarding and automated reporting).\nStrong written and oral communication skills, including creating executive-ready narratives and presenting complex findings simply.","description_format":"text","description_chars":3929,"description_truncated":false,"requirements":{"experience_years_min":6,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Commercial & Retail Banks","Wealth Management & Financial Advisors","Asset Management & Funds","Investment Banking & M&A 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