{"id":3872432,"url":"https://alion.io/job/dicks-sporting-goods-supply-chain-analytics-engineer-ii","title":"Supply Chain Analytics Engineer II","company":{"id":3415,"name":"Dick's Sporting Goods","domain":"dickssportinggoods.com","url":"https://alion.io/company/dickssportinggoods","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":81,"open_postings":141,"ghost_share":0,"stale_share":0.943,"repost_share":0,"time_to_fill_p50_days":14,"computed_at":"2026-11-09T06:03:00Z"}},"role":"Analytics","role_family":"Analytics","seniority":"middle","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Apache Kafka","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"ChatGPT","optional":false},{"name":"Cognos","optional":false},{"name":"Databricks","optional":false},{"name":"DataStage","optional":false},{"name":"ETL/ELT","optional":false},{"name":"GCP","optional":false},{"name":"Git","optional":false},{"name":"Jira","optional":false},{"name":"Power BI","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-11-06T14:59:06Z","employer_posted_date":"2026-11-06","last_verified_at":"2026-11-10T04:33:57Z","board_verified":true,"closed_at":null,"days_open":3,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":3},"description":"At DICK’S Sporting Goods, we believe in how positively sports can change lives. On our team, everyone plays a critical role in creating confidence and excitement by personally equipping all athletes to achieve their dreams. We are committed to creating an inclusive and diverse workforce, reflecting the communities we serve.\nIf you are ready to make a difference as part of the world’s greatest sports team, apply to join our team today!\nOVERVIEW:\nThe Analytics Engineer II bridges business operations, Data Engineering, and Business Intelligence by applying knowledge of Supply Chain processes, system workflows, and data relationships to develop trusted data products, scalable semantic models, and AI-enabled analytical capabilities. The role is responsible for the transformation, modeling, quality, documentation, delivery of governed business-ready data assets that provide a trusted foundation for reporting, self-service analytics, operational decision-making, and AI-enabled solutions. The role partners with Data Engineering on data ingestion and platform capabilities and supports downstream analytics teams through reliable data products, governed definitions, and technical knowledge transfer.\nData Products & Analytics Solutions:\nPartner with business stakeholders, Product, and Data Engineering teams to understand Supply Chain operations, business processes, system workflows, and data requirements. Translate business needs into scalable analytics solutions that support operational decision-making and align with business objectives.\nDesign, build, maintain, and enhance curated datasets, semantic models, and reusable analytical products that provide a trusted foundation for reporting, self-service analytics, operational decision-making, and AI-enabled solutions.\nApply SQL, data transformation techniques, business logic, and data modeling practices to integrate, validate, and transform complex data into trusted, governed, and business-ready information assets that accurately reflect business processes and system workflows.\nDevelop and maintain semantic layers, certified datasets, governed metrics, and business definitions that promote reporting consistency, improve data accessibility, and reduce duplication across analytics solutions.\nPrepare and optimize analytical data products, semantic models, governed business definitions, and data experiences that support AI-enabled and conversational analytics, predictive insights, and other emerging data-driven capabilities. Contribute to AI-enabled analytics use cases through semantic preparation, prompt development, and output validation, in partnership with appropriate technical and governance teams.\nData Quality, Governance & Reliability:\nApply established standards for data quality, performance, and governance across analytical data products. Leverage business process, system, and technical knowledge to execute test plans, validate source-to-target data flows, assess data quality, and validate analytical solutions. Document, communicate, and resolve identified issues using standardized testing methodologies.\nMaintain business and technical metadata, source-to-target mappings, data lineage, ownership information, technical specifications, and supporting documentation within approved data catalog and knowledge management tools to improve discoverability, auditability, governance, and change-impact analysis.Apply enterprise data-classification, privacy, security, access-control, and retention requirements to analytical datasets, semantic models, and self-service analytics solutions. Partner with appropriate security, privacy, and governance teams to ensure compliance with established standards.\nMonitor assigned data products in production, triage data quality and reliability incidents, support recovery and escalation activities, communicate identified business impact, document root causes, implement corrective actions and contribute to preventive reliability improvements.\nAssess upstream and downstream impacts of data, schema, metric, system, and process changes. Coordinate testing, stakeholder communication, and implementation activities to ensure analytical assets remain accurate, reliable, and aligned with evolving business and system requirements.\nBusiness & Technical Partnership:\nDevelop effective working relationships with business partners to understand business processes, system workflows, data needs, and analytical challenges.\nCollaborate with Operations, Finance, Product, Data Engineering, Software Engineering, and Business Intelligence teams to support the design, delivery, and maintenance of data assets.\nPartner with internal and external teams to identify and capture new data requirements, perform root-cause analysis, and support the diagnosis and resolution of data-related issues.\nData Integration & Lifecycle Support:\nMonitor and support vendor, product, and operational data integrations (e.g. FTP, Kafka, DataStage) to ensure reliable data delivery, data quality, and availability of analytical data products.\nCollaborate with Product, Data Engineering, and technology teams on development, testing, incident resolution, and monitoring activities related to data integrations and processing workflows.\nParticipate in the implementation of new data sources and data elements by supporting requirements gathering, solution design, testing, deployment, and change management activities.\nTeam Practices & Continuous Improvement :\nProvide technical guidance and knowledge transfer to downstream analytics teams regarding data models, semantic layers, governed metrics, data availability, and structural changes.\nBuild knowledge of Supply Chain operations, business processes, system workflows, and data structures to effectively support analytical solutions and operational decision-making.\nShare knowledge and provide guidance to less experienced teammates in data analysis, troubleshooting, and analytics development activities. Support assigned planning, delivery, and continuous improvement activities.\nMaintain awareness of evolving analytics, AI-enabled analytics, business intelligence, and data management practices, applying new skills and knowledge to improve analytical solutions and team capabilities.\nQUALIFICATIONS:\nBachelor's degree - BS in Computer Science, Information Systems, Data Analytics, Engineering, Statistics, Supply Chain, or a related field\nAnalytics engineering, business intelligence, data management, data engineering, or a related discipline. \nExperience should include proficient SQL, multi-source data transformation, dimensional or semantic modeling, data-quality testing, documentation, production support, and delivery of analytical data products. \nDemonstrated ability to understand business processes and system workflows and connect them to how data is generated, transformed, and consumed is required. \nSupply-chain or Manhattan-system experience is preferred.\nRelevant training or certifications in SQL, analytics engineering, cloud data platforms, data governance, BI tooling, or AI-enabled analytics are preferred.\nProficiency in SQL, data transformation techniques, and data modeling concepts used to integrate, validate, and prepare data for analytical solutions\nExperience working with cloud-based data and analytics platforms (e.g. Databricks, Snowflake, Azure, AWS, Google Cloud) to support data analysis and reporting needs.\nExperience supporting data ingestion, integration, and orchestration processes using technologies such as Kafka, FTP, ETL/ELT frameworks, or similar tools.Experience developing datasets and analytical solutions using business intelligence and self-service analytics platforms (e.g. Cognos, Power BI, Qlik)\nFamiliarity with metadata management, data lineage, documentation, and data catalog practices that promote data quality, discoverability, and governance.\nExperience using version control tools (e.g., Git) and applying testing, deployment, and change management, and work management practices (e.g. Jira) within the analytics development lifecycle.\nFamiliarity with AI-enabled analytics, conversational analytics, predictive analytics, and related technologies used to support data-driven decision-making.\nVIRTUAL REQUIREMENTS:\nAt DICK’S, we thrive on innovation and authenticity. That said, to protect the integrity and security of our hiring process, we ask that candidates do not use AI tools (like ChatGPT or others) during interviews or assessments.\nTo ensure a smooth and secure experience, please note the following:\nCameras must be on during all virtual interviews.\n\nAI tools are not permitted to be used by the candidate during any part of the interview process.\n\nOffers are contingent upon a satisfactory background check which may include ID verification.\n\nIf you have any questions or need accommodations, we’re here to help. Thanks for helping us keep the process fair and secure for everyone!","description_format":"text","description_chars":8923,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Supply Chain","Footwear","Sporting Goods","Sportswear & Activewear"],"lifecycle":[{"event":"open","at":"2026-11-06T14:59:06Z"}],"visa":[{"country":"US","licensed_sponsor":true,"adverts_offering_sponsorship_24m":0,"sanctioned_now":false,"evidence":"H-1B filings in 12 months: 19 · green card filings: 5","filings_12m":19,"filings_prev_12m":14,"green_card_filings_12m":5,"median_offered_wage_usd":125417,"route":null,"cap_exempt":false,"checked_at":"2026-11-09T07:32:21+00:00","sources":["US Department of Labor: LCA disclosure data (H-1B, H-1B1, E-3)","US Department of Labor: PERM disclosure data (green cards)"],"filings_for_role_12m":3}],"liveness":{"score":63,"band":"ok","label":"Likely open","p_open":1,"p_active":0.632,"p_room":1,"age_days":2,"expected_fill_days":14,"reasons":["conf:4","stale_co","velocity","win:early","comp:brand"],"computed_at":"2026-11-09T06:03:00Z"},"pay":null,"html_url":"https://alion.io/job/dicks-sporting-goods-supply-chain-analytics-engineer-ii","json_url":"https://alion.io/job/dicks-sporting-goods-supply-chain-analytics-engineer-ii.json","meta":{"generated_at":"2026-11-10T06:20:51Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":14759,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-11T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.1,"usd":0.01,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":3415},"rest":"https://alion.io/mcp/rest/get_company?id=3415"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fdicks-sporting-goods-supply-chain-analytics-engineer-ii"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":2,"usd":0.2},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fdicks-sporting-goods-supply-chain-analytics-engineer-ii"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.1,"usd":0.01},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fdicks-sporting-goods-supply-chain-analytics-engineer-ii"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/dicks-sporting-goods-supply-chain-analytics-engineer-ii\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fdicks-sporting-goods-supply-chain-analytics-engineer-ii"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":3872432}},{"tool":"search_jobs","arguments":{"company":"dickssportinggoods.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":3872432},"note":"people open to offers who fit this vacancy"}],"note":"The same data through MCP tools: https://alion.io/mcp/open needs no sign-in (compact searches, postings, people); https://alion.io/mcp with an Alion account has everything. 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