Lead Analytics Engineer
DICK'S Sporting Goods
full-time
Posted on:
Location Type: Remote
Location: United States
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Job Level
About the role
- Act as a SME in Analytics Engineering, BI, and data domain to support enterprise business needs
- Mentor and advise Analytics Engineering team members
- Drive the design of highly complex data models and BI applications
- Select appropriate data and BI tools and technologies to implement solutions
- Leverage advanced experience in Analytics Engineering within an Agile team
- Contribute to the management of a portfolio of programs
- Support production processes and advise team on troubleshooting and resolutions
- Train engineering teammates in coding, data modeling, and BI development best practices
- Discuss and recommend advanced and innovative data and BI solutions
- Explore and develop detailed understanding of external developments or emerging issues
Requirements
- Bachelor's Degree or Equivalent Level Preferred
- 6-10 years of experience
- Expert-level experience 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)
- Expert development experience in SQL required
- Fully competent-level of Python development and data architecture experience preferred.
Benefits
- Professional development opportunities
- Inclusive and diverse workforce
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
Analytics EngineeringBusiness Intelligence (BI)data modelingSQLPythondata architectureAgiletroubleshootingdata solutionsdata models
Soft skills
mentoringadvisingcommunicationteam collaborationproblem-solvingtrainingleadershipinnovationorganizational skillsportfolio management
Certifications
Bachelor's Degree