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| Sr. Analytics Engineer (REMOTE) Coraopolis, PA (USA) |
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| Company: | DICK'S Sporting Goods | Contact: | |
| Post Date: | 12/13/24 | Phone: | |
| Job Type: | Full Time | Fax: | |
| Reference: | PAMpcSk9KC | Mailing Address: | |
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: Job Responsibilities: Data Modeling and Visualization Drive the design of complex data models and BI applications to enable easy consumption and analysis. Select appropriate tools and technologies to implement solutions, leveraging clear understanding of industry best practices. Functional/Technical Requirements Support functional and technical requirements for Analytics Engineering as part of an Agile team with Product Managers, Analysts, Analytics Engineers, and Data Engineers. Act as a SME for data and business needs within domain. Program/Portfolio Management Support Contribute to work within an established program management plan to achieve specific goals. Support and maintain production processes and implement resilient resolutions to mitigate issues. Conduct code review with engineers and QA/UAT with analysts and business partners. Technical Developments Recommendation Develop repeatable standards and practices for designing, building, enhancing, and deploying data and BI solutions in production. Research and suggest ways to optimize solutions to better meet business, performance, and/or quality needs. Ongoing Learning and Development Develop own and more junior team member capabilities by participating in assessment and development planning activities as well as formal and informal training and coaching. Technology Experience Advanced experience and ability to advise others with Business Intelligence (BI) tools (e.g. Microsoft Power BI, Qlik Sense, Looker, Tableau); cloud platforms (e.g. Microsoft Azure, Google Cloud Platform (GCP)); cloud data warehouses (e.g. Snowflake, Google BigQuery); databases (e.g. Oracle); version control systems and CI/CD (e.g. GitHub, GitHub Actions). Advanced development experience in SQL required. Python development and data architecture experience preferred. QUALIFICATIONS:
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