Lead Analytics Engineer (REMOTE)
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 Purpose:
As a Lead Analytics Engineer, you will act as a SME in Analytics Engineering, BI, and data domain to support enterprise business needs. Mentor and advise Analytics Engineering team members and lead design and development standards and practices for data modeling and BI dashboards, data visualizations, and applications and ensure adoption by the team.
Job Responsibilities:
Data Modeling and Visualization
Drive the design of highly complex data models and BI applications to enable easy consumption and analysis.
Select appropriate data and BI tools and technologies to implement solutions, implementing and documenting industry best practices to be used by the team.
Functional/Technical Requirements
Leverage advanced experience, knowledge, and skillset in Analytics Engineering and data domain to drive 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 the management of a portfolio of programs while reporting to and in partnership with senior teammates.
Support production processes and advise team on troubleshooting and resolutions to reduce incidents.
Train engineering teammates in coding, data modeling, and BI development best practices and conduct code review ensuring repeatable and easy-to-maintain processes are implemented amongst the team.
Technical Developments Recommendation
Discuss and recommend advanced and innovative data and BI solutions to better meet business, performance, and/or quality needs.
Recognize opportunities for better process improvements and work with senior teammates to implement.
Ongoing Learning and Development
Explore and develop detailed understanding of external developments or emerging issues and evaluate impact to the organization and team. Identify gaps in current solutions and BI tools and technologies.
Recommend new technologies needed to accelerate the business.
Develop cost/benefit analysis and assist in implementation of new tools and platforms.
Technology 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); Version control systems and CI/CD (e.g. GitHub, GitHub Actions)
Expert development experience in SQL required.
Fully competent-level of Python development and data architecture experience preferred.
QUALIFICATIONS:
Bachelor's Degree or Equivalent Level Preferred
6-10 years of experience
#LI-FD1
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 To This Job
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 Purpose:
As a Lead Analytics Engineer, you will act as a SME in Analytics Engineering, BI, and data domain to support enterprise business needs. Mentor and advise Analytics Engineering team members and lead design and development standards and practices for data modeling and BI dashboards, data visualizations, and applications and ensure adoption by the team.
Job Responsibilities:
Data Modeling and Visualization
Drive the design of highly complex data models and BI applications to enable easy consumption and analysis.
Select appropriate data and BI tools and technologies to implement solutions, implementing and documenting industry best practices to be used by the team.
Functional/Technical Requirements
Leverage advanced experience, knowledge, and skillset in Analytics Engineering and data domain to drive 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 the management of a portfolio of programs while reporting to and in partnership with senior teammates.
Support production processes and advise team on troubleshooting and resolutions to reduce incidents.
Train engineering teammates in coding, data modeling, and BI development best practices and conduct code review ensuring repeatable and easy-to-maintain processes are implemented amongst the team.
Technical Developments Recommendation
Discuss and recommend advanced and innovative data and BI solutions to better meet business, performance, and/or quality needs.
Recognize opportunities for better process improvements and work with senior teammates to implement.
Ongoing Learning and Development
Explore and develop detailed understanding of external developments or emerging issues and evaluate impact to the organization and team. Identify gaps in current solutions and BI tools and technologies.
Recommend new technologies needed to accelerate the business.
Develop cost/benefit analysis and assist in implementation of new tools and platforms.
Technology 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); Version control systems and CI/CD (e.g. GitHub, GitHub Actions)
Expert development experience in SQL required.
Fully competent-level of Python development and data architecture experience preferred.
QUALIFICATIONS:
Bachelor's Degree or Equivalent Level Preferred
6-10 years of experience
#LI-FD1
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 To This Job