Senior Analytics Engineer

3 Step Sports LLC is looking for an experienced and highly qualified Senior Analytics Engineer to join our growing Data & Analytics team. 3 Step is the largest youth sport event and club operator in the nation, operating more than 1,100 events and dozens of club programs for athletes ages 8 – 18 spanning 40+ states and across eight sports. This creates an immense amount of valuable data that the business is looking to tap into to gain insights and guide future strategy.

The ideal candidate is an experienced data professional who can lead the team in building data pipelines, designing data models, and developing analytics tools to support our company’s data-driven decisions. The role will be responsible for cleansing, enhancing, and transforming raw data into analytics ready data models. Building relationships with stakeholders to understand how the business runs, and how that translates to data needs will be a key aspect of the role. As a core member of the Data & Analytics team the Sr. Analytics Engineer will play a vital part in developing the foundational ETL infrastructure and processes. 3Step is in the early stages of leveraging its vast amount of data, and a key goal of this role will be to elevate the data literacy of the organization and push it to be more data driven.

Duties & Responsibilities

Develop relationships with and gather requirements from non-technical business stakeholders
Combine, cleanse, and enhance raw data from disparate sources into analytics ready data models
Work with the rest of the Data & Analytics team and Operations to build out the necessary processes that will drive adoption of data products
Advise the business on best practices for data capture and management to ensure improved data quality
Participate in strategy conversations to determine the vision for how 3Step uses data/analytics in the future

Qualifications

5+ years experience using SQL to turn raw data into analytics ready models that have the right combination of flexibility and usefulness
3+ years experience building ETL pipelines combining data from disparate sources into core dimensional models (DBT preferred)
2+ years experience in at least 1 cloud data warehouse (Snowflake preferred)
Acute attention to detail and excellent understanding of QA best practices & procedures
Ability to work hands-on while at the same time bring higher-level strategic thinking to the business challenges
Thrives in an environment of high pace and ambiguity. Ability to effectively prioritize and execute tasks in high-pressure situations
Excellent written and verbal communication, interpersonal and collaborative skills.
Superior program and project management capabilities

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