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Dick's Sporting Goods

Analytics Engineering Manager (REMOTE)

Posted 5 Days Ago
Be an Early Applicant
Remote
Hiring Remotely in United States
95K-159K Annually
Senior level
Remote
Hiring Remotely in United States
95K-159K Annually
Senior level
Manage the Analytics Engineering solutions for data, oversee data-driven product improvements, digital strategy, talent development, and quality assurance while leading a diverse team and reporting to senior teammates.
The summary above was generated by AI

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:

At DICK’S Sporting Goods, we take a people-centric approach to everything we do. Our Athletes, how we refer to customers, and our Teammates, how we refer to our employees, are at the center of every decision we make so that we can provide transformational experiences online, in store, and in sport. When you join Technology at DICK’S Sporting Goods, you’re joining a true team that wins together. We help our Athletes and fellow Teammates better their best by innovating solutions to interesting business problems and empowering every Technology Teammate to be an innovator. And, while we work remotely from all over the United States, we provide virtual and in-person events for the team to hangout, from virtual escape rooms to cheering on the Pittsburgh Pirates at beautiful PNC Park.

JOB PURPOSE

Leads the development and maintenance of Analytics Engineering solutions for data domain group. Includes systems analysis and development. Primarily responsible for ensuring delivery, team talent management, and Data and BI strategy execution.

RESPONSIBILITIES

Analytics Engineering Strategy and Execution

Manage and deliver end-to-end Data and BI programs and initiatives, leveraging agile and design-thinking principles to drive sustainable implementation. Oversee the creation and enhancement of data and BI solutions. Understand the business challenges and how data and BI can identify gaps or monitor progress

Data-driven Product and Service Improvement

Develop data-driven analyses to surface new opportunities to differentiate and improve products and user experiences, ensuring consistency across digital products, services, and channels.

Digital Strategy/Transformational Projects Execution

Manage and deliver end-to-end digital programs and initiatives, leveraging agile and design-thinking principles to drive sustainable implementation.

Digital Talent Development

Develop digital training and development programs to meet identified needs; run leadership development programs to enable personal transformations on digital.

Digital Vision and Strategy

Conceptualize elements of digital strategy/digital-enabled business change projects. Develop approaches to programmatically deliver successful digital innovation engagements.

Project Management

Manage a portfolio of projects while reporting to senior colleagues.

Quality

Develop new methods, tools and programs for quality assurance. Lead developmental initiatives or programs within an area of expertise.

Budgeting

Contribute to the development of budget plans and/or deliver budget plans with guidance from senior teammates.

Information Security

Lead in detecting and analyzing cybersecurity incidents including attacks, breaches, and identified vulnerabilities and remediate any security gaps in line with the security incident management procedure.

Leadership and Direction

Communicate the actions needed to implement the function's strategy and business plan within the team; explain the relationship to the broader organization's mission, vision and values; motivate people to commit to these and to doing extraordinary things to achieve local business goals.

Organizational Capability Building

Use the organization's formal development framework to identify the team's individual development needs. Plan and implement actions, including continuing professional development specified by professional or regulatory institutions, to build their professional capabilities. Provide informal training or coaching to others throughout the organization in own area of expertise to enable others to improve performance and fulfill personal potential.

Performance Management

Manage and report on the performance of a substantial, diverse team; set appropriate performance objectives for direct reports or project / account team members and hold them accountable for achieving these; take appropriate corrective action where necessary to ensure the achievement of team/ personal objectives.

Program/Portfolio Management Support

Manage a program of work while reporting to senior teammates leveraging assigned product management team processes and protocols.

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. Competent-level of Python development and data architecture experience preferred

BEHAVIORAL COMPETENCIES

Drives Engagement

Creates a climate where people are motivated to do their best to help the organization achieve its objectives. For example, shares insight into the purpose of the work, involves others appropriately and gives them credit for their contributions. Praises the successes of others.

Strategic Mindset

Sees ahead to future possibilities and translates them into breakthrough strategies. For example, knows what to prioritize for the greatest strategic impact on the organization. Takes industry and market trends into account in decisions. Explores possibilities that may impact the team or organization in the future.

Decision Quality

Makes good and timely decisions that keep the organization moving forward. For example, knows when to act independently and when to escalate issues. Integrates various inputs, decision criteria, and trade-offs to make effective decisions. Typically makes good independent decisions.

TECHNICAL SKILLS:

  • Experience in retail technology. Specifically experience with eCommerce data such as products, pricing, promotions, inventory, web interactions and orders.

  • Wide and deep experience providing direction and guidance in data engineering

  • 10 years of experience preferred

  • Experience with data engineering tools such as Google Big Query, Snowflake and Databricks

  • Experience with modeling complex data

  • Experience leading data engineering teams as a manager

  • Experience of planning and managing resources to deliver predetermined objectives

  • Experience leading teams of contractors in an onshore/offshore engagement

  • Experience managing, mentoring, and growing the careers of data engineer

#LI-FD1

QUALIFICATIONS:

  • Master's Degree or Equivalent Level Preferred

  • 6 to 10+ years experience

  • 1 to 3 years experience supervising and directing people and other resources to achieve
    specific end results within limited timeframes 

Targeted Pay Range: $95,200.00 - $158,800.00. This is part of a competitive total rewards package that could include other components such as: incentive, equity and benefits. Individual pay is determined by a number of factors including experience, location, internal pay equity, and other relevant business considerations. We review all teammate pay regularly to ensure competitive and equitable pay.DICK'S Sporting Goods complies with all state paid leave requirements. We also offer a generous suite of benefits. To learn more, visit www.benefityourliferesources.com.

Top Skills

Git
Github Actions
Google Bigquery
Google Cloud Platform
Looker
Azure
Microsoft Power Bi
Oracle
Python
Qlik Sense
Snowflake
SQL
Tableau

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