{"id":104348,"url":"https://alion.io/job/yipitdata-senior-data-product-analyst","title":"Senior Data Product Analyst","company":{"id":1580,"name":"YipitData","domain":"yipitdata.com","url":"https://alion.io/company/yipitdata","size_band":"501-1000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"A","score":87,"open_postings":39,"ghost_share":0,"stale_share":0.513,"repost_share":0,"time_to_fill_p50_days":34,"computed_at":"2026-10-17T05:46:00Z"}},"role":"Analytics","role_family":"Analytics","seniority":"senior","employment_type":null,"work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"posting_text","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":[],"countries":[],"hiring_countries":["US"],"hiring_countries_total":1,"salary":null,"salary_estimate":{"min_usd":97000,"max_usd":187000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":454},"experience_years_min":3,"visa_sponsorship":true,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Incident Management","optional":false},{"name":"LLM","optional":false},{"name":"LLM Guardrails","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-06-12T15:12:43Z","employer_posted_date":"2026-07-22","last_verified_at":"2026-10-17T11:21:48Z","board_verified":true,"closed_at":null,"days_open":126,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":126},"description":"Product · New York, NY (Remote-Friendly)\nAbout the Role\nYipitData is making one of its most ambitious Product bets: building an AI-powered product that transforms how clients interact with data. This initiative sits at the center of our product strategy and represents a fundamentally new way for customers to access and derive value from our data.\nAs a Senior Data Product Analyst, you will play a pivotal role in making that vision a reality. You will own the path from raw alternative data to trusted, product ready intelligence-determining how complex datasets are structured, interpreted, and ultimately surfaced to customers.\nThis role sits at the intersection of data, product, and AI. You will work with diverse alternative datasets and develop the methodologies that transform those signals into reliable business insights. You will also serve as a key authority on how the product uses data, helping define what conclusions are methodologically sound, what questions can be answered confidently, and where appropriate guardrails should exist.\nSuccess in this role requires both analytical rigor and a builder's mindset. You'll thrive in ambiguity, tackle problems without established playbooks, and help shape the future of one of YipitData's most strategic products. Your work will directly influence how hundreds of customers interact with our data and how this product scales over time.\nWhat You'll Do\nData Source Ownership & Methodology Design\nOwn the translation of raw alternative datasets into scalable, AIready data products.\nDesign methodologies that answer high-value business questions, determining how disparate datasets should be combined, normalized, and interpreted.\nPartner closely with Data Engineering to shape source data pipelines into clean, well-structured datasets with clear definitions and documentation.\nDevelop deep expertise in the strengths, limitations, biases, and coverage characteristics of key datasets and ensure those nuances are reflected in downstream outputs.\nAI Product Intelligence & Knowledge Systems\nDefine how the product should use different datasets, including valid query patterns, edge cases, failure modes, and methodological guardrails.\nOwn metric definitions, data lineage, and documentation to ensure the product consistently delivers accurate and explainable answers.\nEstablish standards for how the product reasons across multiple datasets, preventing over-interpretation and ensuring conclusions remain statistically defensible.\nServe as the final reviewer for methodology-related changes that impact product behavior.\nProduct Development & Customer Problem Solving\nTranslate customer questions into scalable methodologies, data models, and product capabilities.\nExpand the range of questions the product can answer by enabling new forms of segmentation, cohort analysis, behavioral measurement, and cross-dataset insights.\nPartner with Product, Engineering, and Leadership to identify new data sources, use cases, and capabilities that increase the commercial value of the AI product.\nHelp shape the product roadmap by turning emerging customer needs and experimental insights into repeatable product functionality.\nData Quality & Operational Excellence\nCoordinate testing and validation of staged data changes before they reach production.\nOwn incident management processes for data quality issues, methodology changes, and upstream source disruptions.\nBuild and maintain a library of quality checks tailored to the unique requirements of AI-powered customer experiences.\nEnsure the product consistently surfaces reliable, accurate, and internally consistent information across all supported use cases.\nYou Are Likely to Succeed If You Have\n3-6 years of experience in data product management, product analytics, analytics engineering, data science, market intelligence, alternative data, or a closely related field.\nStrong fluency in SQL; comfort with data pipelines, schema changes, and upstream/downstream data dependencies.\nExperience owning data documentation, metric definitions, or data quality programs-not just conducting ad hoc analysis.\nA track record of cross-functional coordination, ideally between technical data teams and product or commercial stakeholders.\nStrong project management instincts: you can run a triage process, maintain a quality library, and coordinate across multiple stakeholder groups without dropping balls.\nClear, structured communication-you can translate complex data methodology questions into guidance that non-technical stakeholders can act on.\nA demonstrable track record of building-shipping things, solving hard problems, and leaving a clear mark on the products you’ve worked on.\nAn entrepreneurial mindset: you’re comfortable with ambiguity, energized by new problem spaces, and don’t need a fully paved road to make progress.\nDeep experience with alternative data, panel data, or similarly complex, nuanced data sources is required-you need to understand the quirks, limitations, and methodological subtleties of these datasets and be able to encode that understanding for an AI driven product.\nPrior experience in or exposure to AI/ML products, LLM-based agents, or evaluation frameworks is a strong plus.\nWhat We Offer\nCompetitive base salary with comprehensive benefits\nFully remote-friendly within the United States\nFlexible work hours and flexible vacation\nGenerous 401(k) match, parental leave, wellness budget, and learning reimbursement\nA growth-oriented environment where advancement is driven by impact-not tenure\nPlease note: for this position, we are not able to consider candidates who currently or in the future will require visa sponsorship.\nYipitData is committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender, gender identity or expression, or veteran status. 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