Supply Chain Analytics Engineer II
DICK'S Sporting Goods6 days ago
USA (city not specified)Mid Level
H1B sponsor
Responsibilities
- Partner with business, Product, and Data Engineering stakeholders to translate supply chain processes, workflows, and data requirements into scalable analytics solutions.
- Design, build, maintain, and enhance curated datasets, semantic models, certified datasets, governed metrics, and reusable analytical products.
- Use SQL, data transformation, business logic, and data modeling to integrate, validate, and prepare complex data for analytics and decision-making.
- Support AI-enabled, conversational, and predictive analytics through semantic preparation, prompt development, and output validation.
- Execute data-quality testing, validate source-to-target flows, document issues, and apply governance, privacy, security, access-control, and retention standards.
- Maintain metadata, data lineage, source-to-target mappings, ownership information, technical specifications, and supporting documentation.
- Monitor production data products and integrations, triage incidents, support recovery and escalation, document root causes, and implement corrective actions.
- Assess impacts of data, schema, metric, system, and process changes and coordinate testing, communication, and implementation activities.
- Support vendor, product, and operational data integrations and participate in new data-source implementation, testing, deployment, and change management.
- Provide technical guidance and knowledge transfer to analytics teams and less experienced teammates.
Requirements
- Bachelor's degree in Computer Science, Information Systems, Data Analytics, Engineering, Statistics, Supply Chain, or a related field.
- Experience in analytics engineering, business intelligence, data management, data engineering, or a related discipline.
- Proficiency in SQL, multi-source data transformation, dimensional or semantic modeling, data-quality testing, documentation, production support, and analytical data product delivery.
- Ability to connect business processes and system workflows to how data is generated, transformed, and consumed.
- Experience with cloud-based data and analytics platforms such as Databricks, Snowflake, Azure, AWS, or Google Cloud.
- Experience supporting data ingestion, integration, and orchestration using Kafka, FTP, ETL/ELT frameworks, or similar tools.
- Experience developing datasets and analytical solutions with Cognos, Power BI, Qlik, or comparable business intelligence platforms.
- Familiarity with metadata management, data lineage, data catalogs, documentation, governance, version control, testing, deployment, change management, and work management practices.
- Preferred qualifications include supply-chain or Manhattan-system experience and relevant training or certifications in SQL, analytics engineering, cloud data platforms, data governance, BI tooling, or AI-enabled analytics.
- Familiarity with AI-enabled analytics, conversational analytics, predictive analytics, and related data-driven technologies.
Benefits
- The role is presented as a virtual/remote hiring process with virtual interview requirements, including cameras on.
- Offers are contingent on a satisfactory background check, which may include ID verification.
- AI tools such as ChatGPT are not permitted during interviews or assessments.
Tech Stack
Categories
Data Engineering
About DICK'S Sporting Goods
DICK'S Sporting Goods is a U.S. omnichannel retailer of sporting goods, footwear, apparel, and outdoor equipment for athletes, teams, and active families. It sells through nationwide stores and an e-commerce platform, and also operates Golf Galaxy and House of Sport locations plus the GameChanger youth-sports app. Founded in 1948 and headquartered in Coraopolis, Pennsylvania, the company is publicly traded on the NYSE under the ticker DKS.