Analytics Engineer

Fanatics Collectibles; New York, Los Angeles (NY, CA); On-site; USD 67,800 - 113,000; Full time

Job summary

Fanatics Collectibles is seeking an Analytics Engineer to join the Sales & Finance Engineering team. You will translate business questions into data products, own pipelines from source to Snowflake, and build trusted dashboards for executives and stakeholders.

You will collaborate across Commercial, Sales, Strategy, and Finance, balancing engineering, data, and product thinking while evolving with the role.

Qualifications

• 3–5 years of experience in analytics engineering, data engineering or software engineering, or a hybrid (preferred).
• Hands-on experience with Snowflake, SQL and Python.
• Strong working knowledge of dbt for transformation, testing, and documentation.
• Experience building and managing pipeline orchestration with Airflow or Dagster.
• Experience building dashboards and data visualizations, ideally with Sigma or a comparable BI tool.
• Exposure to engineering work beyond data, such as APIs, backend services, or product feature development.
• Demonstrated ability to work directly with business stakeholders, not just receiving tickets, but helping shape what gets built and why.
• Strong written and verbal communication skills; comfortable in rooms with both engineers and executives.
• A genuine curiosity and willingness to stretch; this role will evolve and we want someone who evolves with it.

Responsibilities

• Build and maintain data pipelines that bring data from source systems into Snowflake, focusing on reliability and observability.
• Implement and manage orchestration flows using Airflow or Dagster.
• Build transformation layers using dbt, including data modeling, testing, and documentation standards.
• Design and maintain Sigma dashboards that serve as the primary reporting surface for our business stakeholders.
• Ensure data quality and consistency across reporting surfaces with validation practices and source-of-truth definitions.
• Partner with Commercial, Sales, Strategy, and Finance stakeholders to understand data needs and surface gaps.
• Translate business requirements into clear data specs and prioritize work, even from partial briefs.
• Communicate trade-offs clearly with partners and explain complex data concepts accessibly.
• Contribute to broader engineering work on the Sales & Finance team, such as code reviews or data layer integrations.

Skills

Snowflake

SQL

Python

dbt

Airflow

Dagster

Sigma

Data visualization

Stakeholder collaboration

Tools

Snowflake

SQL

Python

dbt

Airflow

Dagster

Job description

About Us

Fanatics is building a leading global digital sports platform. We ignite the passions of global sports fans and maximize the presence and reach for our hundreds of sports partners globally by offering products and services across Fanatics Commerce, Fanatics Collectibles, and Fanatics Betting & Gaming, allowing sports fans to buy licensed fan gear, jerseys, lifestyle and streetwear products, headwear, and hardgoods; collect physical and digital trading cards, sports memorabilia, and other digital assets; and bet as the company builds its Sportsbook and iGaming platform. Fanatics has an established database of over 100 million global sports fans; a global partner network with approximately 900 sports properties, including major national and international professional sports leagues, players associations, teams, colleges, college conferences and retail partners, 2,500 athletes and celebrities, and 200 exclusive athletes; and over 2,000 retail locations, including its Lids retail stores. Our more than 22,000 employees are committed to relentlessly enhancing the fan experience and delighting sports fans globally.

About the Team

We're looking for an Analytics Engineer to join the Sales & Finance Engineering team at Fanatics Collectibles. This team is the technical backbone for our Commercial, Sales, Strategy, and Finance organizations, and this role sits at the intersection of those business relationships and the data infrastructure that serves them via our internal applications.

You’ll spend roughly equal time understanding what our stakeholders need and building the systems that deliver it. That means partnering directly with product managers, finance analysts, and sales ops leaders to translate fuzzy business questions into well-defined data products and then owning the pipeline, transformation, and visualization work that makes those products real.

This isn’t a pure platform engineering role or a pure analytics role. We’re looking for someone who is comfortable moving between engineering, data and product thinking, curious enough to learn what they don’t know, and confident enough to push back when requirements don’t make sense yet.

What You’ll Do

• Build and maintain data pipelines that bring data from source systems into Snowflake, with a focus on reliability, observability, and maintainability
• Implement and manage orchestration flows using Airflow or Dagster
• Build transformation layers using dbt, including data modeling, testing, and documentation standards
• Design and maintain Sigma dashboards that serve as the primary reporting surface for our business stakeholders
• Ensure data quality and consistency across reporting surfaces, establishing validation practices and source-of-truth definitions
• Partner with Commercial, Sales, Strategy, and Finance stakeholders, product manager and engineering leads to understand data and reporting needs, surface gaps, and build the tools necessary to support
• Translate business requirements into clear data specs and prioritize work, often without a fully formed brief to start from
• Communicate proactively with partners explaining trade‑offs, setting expectations, and making complex data concepts accessible
• Contribute to broader engineering work on the Sales & Finance team as needed, such as reviewing code or supporting integrations that touch our data layer

What You’ll Bring

• 3–5 years of experience in analytics engineering, data engineering or software engineering, or a hybrid (preferred)
• Hands‑on experience with Snowflake, SQL and Python
• Strong working knowledge of dbt for transformation, testing, and documentation
• Experience building and managing pipeline orchestration with Airflow or Dagster
• Experience building dashboards and data visualizations, ideally with Sigma or a comparable BI tool
• Exposure to engineering work beyond data, such as APIs, backend services, or product feature development
• Demonstrated ability to work directly with business stakeholders, not just receiving tickets, but helping shape what gets built and why
• Strong written and verbal communication skills; comfortable in rooms with both engineers and executives
• A genuine curiosity and willingness to stretch; this role will evolve and we want someone who evolves with it

Nice to Have

• Familiarity with AWS data services (Glue, S3, Firehose, Kinesis)
• Experience in a commerce, collectibles, or marketplace environment
• Experience in an environment where you had to define your own scope and priorities

Why This Role

You’ll have real relationships with the business leaders whose decisions depend on the work you do, and you’ll have the latitude to shape how data is used across Sales and Finance at Fanatics Collectibles.

Los Angeles Salary Range: $90,400 – $113,000 USD

New York City Salary Range: $90,400 – $113,000 USD

We are an equal‑opportunity employer. As set forth in Fanatics Collectibles’s Equal Employment Opportunity policy, we do not discriminate on the basis of any protected group status under any applicable law.