If you are interested in sports jobs with the New Orleans Saints and Pelicans, you’re in the right place!
It’s exciting to work in sports. And it’s even more exciting to be a decision influencer in sports using Data Engineering techniques, tools and methods. Imagine what you could do, learn and accomplish here at the Saints and Pelicans organization, where we never stop thinking, learning, creating, testing, and innovating. The Saints and Pelicans’ Business Intelligence department is looking for a talented Data Engineer who is passionate about designing, crafting, and operating automated analytical solutions that will drive scientific data-driven decision making and have direct and measurable positive impact to both the New Orleans Saints, the New Orleans Pelicans, and ultimately their customers - the fans. As a Data Engineer, you will use Python, SQL, Snowflake, dbt and other tools to build automated processes, models and solutions for data operations across the company. This role will own the data engineering process for all of our business-related data in support of the entire company (Marketing, Sales & Retention, Game Presentation, Facility Operations, Ticketing and Corporate Partnership etc.). The Business Intelligence department is growing exponentially and we are looking forward to meeting you. There are three teams in this department - Business Analysts, Data Operations, and Data Science.
Engage and collaborate with business analysts to find opportunities, understand requirements, and translate requirements into technical data science solutions
Design, engineer and maintain analytical tools and models using statistical or data science approach, apply tried-and-true techniques, and develop custom algorithms as needed by the business problem
Collaborate with data scientists and business analysts to design, test and implement robust automated and/or batch machine learning solutions
Build and maintain data sources and ETL/ELT processes across business operations, such as social media data, digital and text message data, live traffic data, weather data,
Help ensure database integrity by building and maintaining resilient data processes, and assist with architecting data storage solutions to efficiently store and retrieve information.
Build reports and dashboards to monitor and analyze data warehouse performance and the quality of data in the data warehouse in order to provide fast responses to front-end users
Document and build visual conceptual architecture for each database in the data warehouse
Collaborate with business analysts to ensure operational and business metric health by monitoring key decision points, and provide actionable insights instantaneously to business analysts and key business decision makers
Execute data mining and investigate adversarial trends, identify behavior patterns, and respond with agile logic changes
Communicate results of analyses to business analysts, managers and executives
Research new technologies and methods across data science, data engineering, and data visualization to improve the technical capabilities of the team
Other projects and duties as assigned
Bachelor’s degree in in Computer Science, Data Engineering, Machine Learning, Statistics, Applied Mathematics, Economics, or a related field with focus on computer science, data science, or programming
Strong Microsoft SQL programming and administration skills along with an understanding of database design and data collection methodology, including the underlying relational and dimensional data models
Experience in building modern ETL/ELT processes (preferably in Python) to centralize and organize data, and strong understanding of XML and JSON file structures
Understanding of how to utilize cloud based solutions such as those offered by Snowflake and Microsoft Azure
3-5 years’ experience applying data science to real business problems
Minimum 3 years practical experience and ability to implement data science pipelines and applications in a general programming language such as Python
Minimum 3 years practical experience and knowledge of relational databases, such as SQL
Minimum 3 years practical experience and knowledge of data visualization tools, such as Tableau
Knowledge of modern data engineering frameworks, such as dbt
A knowledge of, and passion for finding, the newest and most innovative engineering techniques—the type of programmer who loves refactoring and reading about new frameworks
Understanding of algorithms for classification, regression, clustering, and anomaly detection
Ability to handle high pressure situations while still being attentive to the detail and excellent work product required
Must have high level of interpersonal skills to handle sensitive/confidential situations and information
Ability to comprehend and debug complex systems integrations
Ability to extract meaningful business insights from data and identify the stories behind the patterns
Excellent communication and organization skills, distilling complex analysis and concepts into concise business-focused takeaways
Creativity to engineer novel features and signals, and to push beyond current tools and approaches
Highly analytical person with strong problem-solving and self-directed learning skills, and exceptional attention to detail
Highly self-motivated individual with excellent teamwork spirit
Experience within the sports industry is not required, but is a plus
Submitting a business case study from your past working experience is highly recommended
Typical office environment
Must be able to sit and work at a computer 80% of the day
Working schedule/hours will ebb and flow with NFL/NBA schedule, and will include working some late hours, holidays, nights, and weekends
Applications must be submitted online. Please do not mail or email resumes to the Saints/Pelicans. All qualified candidates will be contacted by phone and/or by email. Please do not contact the Saints/Pelicans Human Resources or Hiring Manager to check the status of your application. When applying, please be sure your updated contact information is provided.
The New Orleans Saints and New Orleans Pelicans ("Teams") are committed to providing equal employment opportunities for candidates and employees regardless of their membership in any protected classifications. The Teams will not discriminate in violation of the law on the basis of race, color, age, national origin, sex (including sexual orientation, gender identity, transgender status, and pregnancy), religion, physical or mental disability, genetic information, marital status, veteran status, familial status, status as a victim of domestic violence, and/or any other legally protected class under applicable federal, state, or local laws. This anti-discrimination policy applies with respect to all employment decisions, including but not limited to hiring, promotion, discipline, and discharge. The Teams are committed to equal opportunity for persons with disabilities in compliance with the Americans Disabilities Act and state law. If you feel you need an accommodation for a disability, please inform us. Requests for accommodation will be evaluated on a case-by-case basis. If you request an accommodation, it is essential that you participate fully in the interactive process.