Analyst, Business Intelligence & Data Engineering
$70K/yr – $75K/yr
You'll complete your application on the employer's website.
$70K/yr – $75K/yr
You'll complete your application on the employer's website.
Job type
Salary
$70K/yr – $75K/yr
Location
Sector
Posted
21 days ago
The Washington Nationals are hiring an Analyst, Business Intelligence & Data Engineering to manage ETL pipelines and the data warehouse supporting revenue and marketing departments. The role focuses on data engineering, system optimization, data quality and governance, and analysis that supports data-driven decisions.
Responsibilities
Design, implement, and monitor the Nationals ETL pipelines and data warehouse, orchestrated through Airflow/Cloud Composer, ingesting ticketing, concessions, retail, loyalty, and MLB-owned data to enable data-driven decisions across revenue departments
Develop and maintain dbt models with automated data tests to ensure accurate, well-documented datasets
Implement automation processes to streamline data workflows, reducing manual intervention and increasing efficiency
Work closely with cross-functional teams to design and implement data models that align with business requirements and support analytical needs
Identify and implement enhancements to data systems, ensuring scalability, efficiency, and data quality
Conduct in-depth data analysis using SQL, Python, or other tools to derive actionable insights and drive strategic decision-making
Monitor and optimize database and query performance to ensure timely and accurate data retrieval
Collaborate with business analysts and IT teams to understand data requirements and facilitate seamless integration with analytical tools
Work with external data vendors to triage and remedy data quality issues
Recommend and advocate for data policies and frameworks for the ongoing management of data
Implement and enforce data governance policies, ensuring data quality, integrity, and security throughout the data lifecycle
Maintain comprehensive documentation of ETL processes, data models, data governance policies, and system configurations, with code managed in GitLab
Other duties as assigned
Preferred
Familiarity with sports industry data and metrics is a plus
Familiarity with Google BigQuery preferred
Familiarity with Google Cloud Platform (or with AWS/Azure and willingness to learn) preferred
Experience with workflow orchestration tools such as Apache Airflow / Google Cloud Composer preferred
Experience with dbt(data build tool) for SQL-based data transformation, testing and documentation preferred
Proficiency with Git-based version control(GitLab) including branching, merge requests and code review preferred
Proficiency in Python development preferred
Proficiency with database structures, schemas, and architectures preferred
Sports Industry Metrics
Google BigQuery
Google Cloud Platform
Amazon Web Services
Microsoft Azure
Workflow Orchestration
Apache Airflow
Google Cloud Composer
dbt
SQL Data Transformation
Data Testing
Data Documentation
Git Version Control
GitLab
Merge Requests
Code Review
Python Development
Database Structures
Database Schemas
Database Architecture
Willingness to Learn
Benefits
Paid vacation and sick leave, paid holidays throughout the year and a holiday break in December
Medical, dental, vision, life and AD&D insurance
Short- and long-term disability insurance
Flexible spending accounts
401(k) and pension plan
Access to complimentary tickets to Nationals home games
Employee discounts
Free onsite fitness center
Company
Major League Baseball team based in Washington, D.C.
Washington, District of Columbia, USA
https://nationals.mlb.com/
Founded in 2005
501-1000 employees
Qualifications
Must have U.S. work authorization
2+ years of experience in a technical systems integration role, with demonstrated capabilities in data management best practices, long-term maintainability of code, and ability to effectively solve problems pertaining to data infrastructure and integrity
Proficiency in Microsoft Excel, PowerPoint, and Word required
Proficiency in SQL required
Proficiency in Tableau and/or similar data visualization tool required
Ability to extract key insights from large, disparate datasets and synthesize into key recommendations for leadership
Excellent communication skills and ability to tailor key messages to the appropriate audience
Strong attention to detail
Strong sense of ownership and accountability - a self-starter
Utmost standards of integrity in all business dealings
Computer Science
Familiarity with sports industry data and metrics is a plus
Familiarity with Google BigQuery preferred
Familiarity with Google Cloud Platform (or with AWS/Azure and willingness to learn) preferred
Experience with workflow orchestration tools such as Apache Airflow / Google Cloud Composer preferred
Experience with dbt(data build tool) for SQL-based data transformation, testing and documentation preferred
Proficiency with Git-based version control(GitLab) including branching, merge requests and code review preferred
Proficiency in Python development preferred
Proficiency with database structures, schemas, and architectures preferred
2+ years of experience in a technical systems integration role, with demonstrated capabilities in data management best practices, long-term maintainability of code, and ability to effectively solve problems pertaining to data infrastructure and integrity.
Required skills
SQL, Tableau, Microsoft Excel, Microsoft PowerPoint, Microsoft Word, Data Management, Technical Systems Integration, Data Infrastructure and Integrity, Python, Google BigQuery, Apache Airflow / Google Cloud Composer, dbt, GitLab, Data Analysis
Preferred skills
Familiarity with sports industry data and metrics is a plus, Familiarity with Google BigQuery preferred, Proficiency in Python development preferred
Experience
2+ years
Interested in this role?
Apply directly on the employer's website — it only takes a few minutes.
Other roles in Washington, DC or IT & Technology
We are looking for a systems-minded engineer to help advance our kernel development, performance engineering, and hardware-software co-design capabilities, with a particular focus on AI-assisted workflows and tooling.
We’re looking for dedicated, experienced, and deeply curious individuals to help solve some of the most complex challenges faced by our customers while building the future of post-AGI support alongside us.
Competitive
As a Staff Engineer on Payment Intelligence, you’ll work across our product portfolio to ensure we’re building in a consistent, efficient, and effective manner. Experience with large, distributed systems on the critical path will help candidates succeed, as will comfort working across the stack and interacting with ML…