Jobs in the United States

25+ jobs

Save this search

Added 1 min ago
Customer Engineer IV, Data Management, North America, Google Cloud
Google
Cambridge, MA
Experience with data migration strategies and moving large-scale production systems either in on-premise/data center environments or migration to cloud scenarios and SQL skills with deep…
Added 1 min ago
Capital One Shopping Tech, Data Engineer 5 (Remote- Eligible)
Capital One
Boston, MA
Influence a team of developers, data analysts and data scientists with deep experience in machine learning, distributed microservices, lakehouse architecture, and full-stack systems
Added 1 min ago
C
Senior Knowledge Graph & Ontology Architect
Cognizant
Boston, MA
- $130,000 to $160,000 USD / year
…architectures that enable trusted, scalable, and AI-ready knowledge systems. You will be a valued member of our Data & AI team and work collaboratively with data architects, engineers, data…
Added 1 min ago
C
GCP data Engineer
Cognizant
Boston, MA
- $100,000 to $120,000 USD / year
Cognizant is seeking an experienced Knowledge Graph Data Engineer to build and operate the connectivity, profiling, and graph/search foundation that powers enterprise ontology and knowledge…
Added 2 mins ago
Supplier Quality Engineer, OEM Networking
Google
Sunnyvale, CA
Experience leading cross-functional technical initiatives involving failure analysis (FA), quality systems, and root cause resolution.
Added 4 mins ago
Senior Computer Scientist
Mercer University
Warner Robins, GA
Serves as internal resource on structured programming techniques for software systems.
Added 7 mins ago
SS
Sales Engineer, VP
State Street
Burlington, MA
- $110,000 to $188,750 USD / year
Following the continued growth of Charles River’s Wealth business within the State Street, CRD is seeking a Sales Engineer to join the Sales Engineering team within US sales, supporting…
Added 14 mins ago
Data Engineer 4
Capital One
McLean, VA · Richmond, VA · Chicago, IL · Plano, TX
Influence a team of developers, data analysts and data scientists with deep experience in machine learning, distributed microservices, lakehouse architecture, and full-stack systems
Added 29 mins ago
Automation Engineer- Plant
Trane Technologies
Newberry, SC
Trane is hiring an Automation Engineer in Newberry, SC. We are seeking a motivated engineer with experience in process automation, manufacturing systems, and digital tools to support and…
Added 29 mins ago
C
GCP data Engineer
Cognizant
Columbia, SC
- $100,000 to $120,000 USD / year
Cognizant is seeking an experienced Knowledge Graph Data Engineer to build and operate the connectivity, profiling, and graph/search foundation that powers enterprise ontology and knowledge…
Added 29 mins ago
C
Senior Knowledge Graph & Ontology Architect
Cognizant
Columbia, SC
- $130,000 to $160,000 USD / year
…architectures that enable trusted, scalable, and AI-ready knowledge systems. You will be a valued member of our Data & AI team and work collaboratively with data architects, engineers, data…
Added 38 mins ago
Software Engineer
Highmark Health
Remote, United States
This job is an integral member of an agile software engineer team responsible for building complex scalable software applications across all digital channels to serve our customers. The…
Added 44 mins ago
CR
Sales Engineer, VP
Charles River Systems Inc MA
United States
- $110,000 to $188,750 USD / year
Following the continued growth of Charles River’s Wealth business within the State Street, CRD is seeking a Sales Engineer to join the Sales Engineering team within US sales, supporting…
Added 1 hour ago
Customer Engineer IV, Data Management, North America, Google Cloud
Google
Atlanta, GA
Experience with data migration strategies and moving large-scale production systems either in on-premise/data center environments or migration to cloud scenarios and SQL skills with deep…
Added 1 hour ago
C
AI Solution Architect
Cognizant
Atlanta, GA
- $150,000 to $170,000 USD / year
AI Engineer – Generative AI, Oracle Applications & AI-Led SDLC Transformation
Added 1 hour ago
C
GCP data Engineer
Cognizant
Phoenix, AZ
- $100,000 to $120,000 USD / year
Cognizant is seeking an experienced Knowledge Graph Data Engineer to build and operate the connectivity, profiling, and graph/search foundation that powers enterprise ontology and knowledge…
Added 1 hour ago
C
Senior Knowledge Graph & Ontology Architect
Cognizant
Phoenix, AZ
- $130,000 to $160,000 USD / year
…architectures that enable trusted, scalable, and AI-ready knowledge systems. You will be a valued member of our Data & AI team and work collaboratively with data architects, engineers, data…
Added 1 hour ago
WC
AI Solutions Engineer
Wings Credit Union
Colorado Springs, CO
- $108,000 to $126,000 USD / year
…Rather than simply implementing technology, the AI solutions engineer seeks to understand how work gets done today, challenges existing assumptions, and helps business teams discover new…
Added 1 hour ago
Solutions Engineer, Chrome Scaled Solutions, gUP Chrome and Web Ecosystem, gTech
Google
Boulder, CO
Share Solutions Engineer, Chrome Scaled Solutions, gUP Chrome and Web Ecosystem, gTech
Added 1 hour ago
Senior Specialist, Software Engineering (DevOps Engineer)
L3Harris
Colorado Springs, CO
…across multiple environments. You’ll use Java, Spring Boot, SQL, and Kubernetes to design, develop, deploy, and sustain high‑impact services for the Advanced Tracking & Launch Analysis…
Added 2 hours ago
Principal Engineer – Supply Chain, Transportation Technology
Target Enterprise Inc
NCD-0375 Brooklyn Park, MN
As a Principal Engineer you set the strategy for software development and/or infrastructure engineering at Target. You set the direction for how software and infrastructure engineering…
Added 2 hours ago
HA
Manufacturing Engineer, Production
Hadrian Automation
Torrance, CA
- $85,000 to $100,000 USD / year
…rockets, satellites, aircraft, ships, and other mission-critical systems up to 10x faster and at significantly lower…
Added 2 hours ago
ES
EverHealth - Lead Forward Deployed Engineer (Remote, US)
EverCommerce Solutions Inc.
Remote, United States
- $170,000 to $200,000 USD / year
As a Lead Forward Deployed Engineer IV, your customers are our internal RCM professional services team: the billers, A/R specialists, and operations leaders who work claims for EverHealth…
Added 2 hours ago
ES
EverHealth - Software Engineer
EverCommerce Solutions Inc.
Remote, United States
- $130,000 to $160,000 USD / year
As a Software Engineer III, you will be a hands-on engineer on a small, nimble team building EverHealth’s AI-enabled RCM platform end to end. Zoomed in, that means the worklist where…
Added 2 hours ago
Mass Properties Intern (Summer)
REGENT
North Kingstown, RI
REGENT's Mass Properties discipline sits at the heart of every vehicle program. As the Mass Properties Engineer Intern, you'll work directly on real, high-impact work from day one.

Dick's Merch & Supply Chain, Inc

Supply Chain Analytics Engineer II

United States

Apply About employer

Applications open in a new tab.

Job details

Posting language: English
Posted: Nov 6, 2026

Original job 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. If you are ready to make a difference as part of the world’s greatest sports team, apply to join our team today!

OVERVIEW:

The 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.

Data Products & Analytics Solutions:

Partner 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.
Design, 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.
Apply 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.
Develop and maintain semantic layers, certified datasets, governed metrics, and business definitions that promote reporting consistency, improve data accessibility, and reduce duplication across analytics solutions.
Prepare 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.

Data Quality, Governance & Reliability:

Apply 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.
Maintain 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.
Monitor 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.
Assess 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.

Business & Technical Partnership:

Develop effective working relationships with business partners to understand business processes, system workflows, data needs, and analytical challenges.
Collaborate with Operations, Finance, Product, Data Engineering, Software Engineering, and Business Intelligence teams to support the design, delivery, and maintenance of data assets.
Partner 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.

Data Integration & Lifecycle Support:

Monitor 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.
Collaborate with Product, Data Engineering, and technology teams on development, testing, incident resolution, and monitoring activities related to data integrations and processing workflows.
Participate in the implementation of new data sources and data elements by supporting requirements gathering, solution design, testing, deployment, and change management activities.

Team Practices & Continuous Improvement :

Provide technical guidance and knowledge transfer to downstream analytics teams regarding data models, semantic layers, governed metrics, data availability, and structural changes.
Build knowledge of Supply Chain operations, business processes, system workflows, and data structures to effectively support analytical solutions and operational decision-making.
Share knowledge and provide guidance to less experienced teammates in data analysis, troubleshooting, and analytics development activities. Support assigned planning, delivery, and continuous improvement activities.
Maintain 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.

QUALIFICATIONS:

Bachelor's degree - BS in Computer Science, Information Systems, Data Analytics, Engineering, Statistics, Supply Chain, or a related field
Analytics engineering, business intelligence, data management, data engineering, or a related discipline.
Experience should include proficient SQL, multi-source data transformation, dimensional or semantic modeling, data-quality testing, documentation, production support, and delivery of analytical data products.
Demonstrated ability to understand business processes and system workflows and connect them to how data is generated, transformed, and consumed is required.
Supply-chain or Manhattan-system experience is preferred.
Relevant training or certifications in SQL, analytics engineering, cloud data platforms, data governance, BI tooling, or AI-enabled analytics are preferred.
Proficiency in SQL, data transformation techniques, and data modeling concepts used to integrate, validate, and prepare data for analytical solutions
Experience working with cloud-based data and analytics platforms (e.g. Databricks, Snowflake, Azure, AWS, Google Cloud) to support data analysis and reporting needs.
Experience 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)
Familiarity with metadata management, data lineage, documentation, and data catalog practices that promote data quality, discoverability, and governance.
Experience 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.
Familiarity with AI-enabled analytics, conversational analytics, predictive analytics, and related technologies used to support data-driven decision-making.

VIRTUAL REQUIREMENTS:

At 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.

To ensure a smooth and secure experience, please note the following:

Cameras must be on during all virtual interviews.
AI tools are not permitted to be used by the candidate during any part of the interview process.
Offers are contingent upon a satisfactory background check which may include ID verification.

If you have any questions or need accommodations, we’re here to help. Thanks for helping us keep the process fair and secure for everyone!

Apply About employer

More about this job

Skills

Supply chain management
Data engineering
Business intelligence
Documentation
Reporting
Decision making
Business processes
SQL
Data modelling
Inspect data
Communication skills
Root cause analysis
FTP
Apache Kafka
Monitor activities
Requirements gathering
Change management
Data models
Data analysis
Troubleshooting
Process improvement
Data management
Computer science
Statistics
Normalise data
Databricks
Snowflake
Microsoft Azure
AWS
Google Cloud
IBM Cognos
Microsoft Power BI
Qlik
Git
Jira

Report this job