Analytics Engineer: Data Pipelines & Dashboards

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

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.