{"id":4321432,"url":"https://alion.io/job/simon-and-schuster-senior-analytics-engineer","title":"Senior Analytics Engineer","company":{"id":1753099,"name":"Simon and Schuster","domain":"simonandschuster.com","url":"https://alion.io/company/simonandschuster-com","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"Analytics","role_family":"Analytics","seniority":"senior","employment_type":null,"work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"inferred","locations":["India"],"countries":["IN"],"hiring_countries":["IN"],"hiring_countries_total":1,"salary":null,"salary_estimate":null,"experience_years_min":4,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"CI/CD","optional":false},{"name":"dbt","optional":false},{"name":"Dimensional Modeling","optional":false},{"name":"Git","optional":false},{"name":"Looker","optional":false},{"name":"Power BI","optional":false},{"name":"Python","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false},{"name":"Tableau","optional":false}],"status":"live","first_seen_at":"2026-11-14T20:36:45Z","employer_posted_date":null,"last_verified_at":"2026-11-14T20:36:45Z","board_verified":false,"closed_at":null,"days_open":0,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":0},"description":"We are seeking a Senior Analytics Engineer to help turn that commitment into trusted, reusable data products across publishing, sales, marketing, finance, and operations. This senior hands-on role combines analytics engineering, business partnership, and responsible use of AI to deliver governed data models, consistent metrics, and scalable self-service analytics.\n\nResponsibilities: \nBuild trusted data products. Develop scalable transformation pipelines, dimensional models, curated data marts, and reusable datasets for reporting, forecasting, experimentation, and AI-enabled use cases.\nCreate consistent metrics. Partner with business leaders to define critical measures and encode consistent business logic so teams work from shared definitions across dashboards, analyses, applications, and AI experiences.\nEngineer for trust. Apply automated testing, documentation, lineage, monitoring, code review, and data-quality controls; resolve issues at their root cause.\nEnable responsible AI. Use approved AI tools to accelerate delivery, prepare governed data for AI applications, and validate generated outputs for accuracy, explainability, and business fit.\nAutomate manual processes. Partner with business and operations teams to replace repetitive, data-intensive workflows with reliable, monitored automation that improves speed, accuracy, control, and employee capacity.\nModernize analytics. Transition fragmented or legacy reporting into governed data products and self-service experiences while maintaining business continuity and controlling platform cost.\nLead through influence. Translate ambiguous questions into practical solutions, communicate recommendations clearly, mentor colleagues, and raise team engineering standards.\nPartner across the enterprise. Work with stakeholders in publishing, sales, marketing, finance, operations, supply chain, and technology, including globally distributed colleagues.\nDrive adoption. Document solutions, explain data products in business language, and coach users to confidently interpret and apply data\n\nRequirements: \n5+ years in analytics engineering, data engineering, BI engineering, or a related data role.\nAdvanced SQL, dimensional modeling, and experience with structured and semi-structured data.\nHands-on experience with a modern cloud data platform and transformation framework, such as Snowflake and dbt or comparable technologies.\nPractical Python skills and experience with Git, modular design, testing, code review, CI/CD, and production support.\nExperience defining governed business metrics and delivering analytics through Power BI, Tableau, Looker, or a comparable platform.\nStrong business partnership, communication, and problem-solving, with sound judgment around sensitive data and AI-assisted tools.\nExperience mentoring colleagues and improving team practices through feedback and shared standards.\n\nPreferred: \nExperience with semantic layers, observability, metadata, lineage, or data contracts.\nExperience with commercial, supply chain, and marketing analytics\nExperience modernizing legacy reporting and enabling governed self-service analytics.\nFamiliarity with generative AI, or AI-product evaluation.\nPublishing, media, retail, or consumer-products experience\nBachelor's degree in a quantitative or technical field, or equivalent practical experience.\nSkills\nAnalytics, BI, Business Intelligence, Report, Reports, SQL, Snowflake, 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