Lead Analytics Engineer (REMOTE)

Talantir; Pittsburgh (Allegheny County); Remote; USD 120,000 - 160,000; Full time

Benefits offered by this job

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Job summary

DICK’S Sporting Goods in Pittsburgh seeks a Lead Analytics Engineer to serve as a SME in Analytics Engineering, BI, and the data domain, mentoring the Analytics Engineering team and setting standards for data modeling, dashboards, and applications.

You will drive complex data models and BI solutions using Power BI, Looker, or Tableau, collaborate with Product Managers and Data Engineers, and guide adoption across enterprise analytics initiatives while promoting best practices and cost-efficient

Qualifications

• Bachelor's Degree or Equivalent required.
• 6–10 years of experience in analytics engineering or data domains.
• Expert SQL development skills required.

Responsibilities

• Lead design and development of complex data models and BI dashboards.
• Mentor Analytics Engineering team and set coding/modeling standards.
• Collaborate with Product Managers, Analysts, and Data Engineers to deliver scalable solutions.

Skills

Analytics Engineering

SQL

Python

BI Development

Agile

Education

Bachelor's Degree or Equivalent

Tools

Power BI

Qlik Sense

Looker

Tableau

Azure

GCP

Snowflake

BigQuery

Oracle

GitHub

GitHub Actions

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.

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!