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Nfl Data Analytics Jobs in Indiana (NOW HIRING)

Data Engineer

Indianapolis, IN · On-site

$109K - $131K/yr

... from NFL and third-party sources. * Support the integration of data into the enterprise data warehouse (Snowflake and Microsoft Azure). * Collaborate with CRM, Marketing, and Analytics teams to ...

Data Engineer

Indianapolis, IN · On-site

$109K - $131K/yr

... NFL and third-party sources. • Support the integration of data into the enterprise data warehouse (Snowflake and Microsoft Azure). • Collaborate with CRM, Marketing, and Analytics teams to ...

Data Engineer

Indianapolis, IN · On-site

$109K - $131K/yr

... NFL and third-party sources. • Support the integration of data into the enterprise data warehouse (Snowflake and Microsoft Azure). • Collaborate with CRM, Marketing, and Analytics teams to ...

... NFL Sunday Night Football, NBA Basketball, Big Ten Football, Major League Baseball, and the ... learn data-based results - Cold calling and prospecting for new clients - Secure marketing ...

Nfl Data Analytics information

What is an NFL Data Analytics job?

An NFL Data Analytics job involves collecting, interpreting, and visualizing football-related data to support teams, coaches, and analysts in making informed decisions. Professionals in this role use statistical models and machine learning techniques to evaluate player performance, game strategies, and scouting insights. They work with large datasets, including player tracking data and in-game statistics, to optimize team performance, prevent injuries, and gain a competitive edge. These roles can be found within NFL teams, media companies, or technology firms specializing in sports analytics. Strong skills in programming, data analysis, and football knowledge are essential for success in this field.

What are the key skills and qualifications needed to thrive in the Nfl Data Analytics position, and why are they important?

To thrive in NFL Data Analytics, you need strong skills in statistics, data modeling, programming (such as Python or R), and a relevant degree in mathematics, statistics, computer science, or a related field. Familiarity with data visualization tools, advanced analytics platforms, and sports-specific databases is highly valued, with certifications in data analytics being a plus. Excellent attention to detail, collaboration, and communication skills are essential for presenting insights to coaches and executives. These competencies ensure data-driven decision-making that directly impacts team performance and strategy.

What are the typical responsibilities of an NFL Data Analytics professional during the football season?

During the football season, NFL Data Analytics professionals are responsible for collecting and analyzing player and team performance data, preparing reports for coaches, and generating predictive models for upcoming games. They often collaborate with coaching staff and scouts to translate data insights into actionable game plans, while also monitoring player health and workload metrics. The role may also involve real-time analysis during games to support strategy adjustments. Being able to communicate complex analyses clearly to non-technical stakeholders is a frequent and critical task.

What are the most commonly searched types of Nfl Data Analytics jobs in Indiana? The most popular types of Nfl Data Analytics jobs in Indiana are:
What are popular job titles related to Nfl Data Analytics jobs in Indiana? For Nfl Data Analytics jobs in Indiana, the most frequently searched job titles are:
What cities in Indiana are hiring for Nfl Data Analytics jobs? Cities in Indiana with the most Nfl Data Analytics job openings:
Data Engineer

Data Engineer

TeamWork Online

Indianapolis, IN • On-site

$109K - $131K/yr

Other

Posted 5 days ago


Job description

Data Engineer

The Indianapolis Colts are seeking an experienced Data Engineer to play a key role supporting the organization's data ecosystem, contributing to the development, maintenance, and optimization of data pipelines and systems that power sales, marketing initiatives, fan engagement, and analytics efforts. Working within our data engineering team, this role assists in transforming raw data into reliable, accessible, and actionable information for internal stakeholders. The Data Engineer collaborates closely with the Information Technology, Analytics & Digital Innovation, Marketing, and Sales teams to ensure data flows efficiently across platforms and systems. The ideal candidate is someone who thrives in a collaborative environment, is detail-oriented, and is passionate about building data solutions that drive business value.

This is a full-time position working from our main offices at the Indiana Farm Bureau Football Center. The successful candidate will embody the Colts core values in support of the team's mission to entertain, inspire and unite by winning the right way.

Responsibilities
  • Data warehouse design, maintenance, performance tuning, and optimization.
  • Design and manage ETL/ELT pipelines, data migrations, and data validation processes including data flows from NFL and third-party sources.
  • Support the integration of data into the enterprise data warehouse (Snowflake and Microsoft Azure).
  • Collaborate with CRM, Marketing, and Analytics teams to understand data needs and deliver reliable solutions.
  • Develop modeled data sets for commercial business in collaboration the Analytics & Digital Innovation team.
  • Monitor data flows and troubleshoot issues related to data ingestion, transformation, and delivery.
  • Maintain data quality through validation, deduplication, and classification processes.
  • Contribute to documentation of data processes, schemas, and workflows.
  • Implement consumer privacy and consent processes through collaboration with the Privacy Coordinator to ensure compliance concerning PII, data lineage, and data governance.
  • Implement cybersecurity best practices through collaboration with the Cybersecurity Engineer to ensure compliance with security controls and policies.
  • Stay current with emerging technologies in data warehousing, pipelines, and reporting.
  • Perform other duties as assigned.
Qualifications
  • Bachelor's degree in Computer Science, Information Systems, or a related field. An equivalent combination of education and experience may be considered.
  • 2 - 4 years of data engineering experience.
  • Proficiency in Snowflake SQL/T-SQL and Python.
  • Familiarity with Microsoft Azure and cloud-based data platforms.
  • Understanding of APIs, version control (GitHub), and CI/CD workflows.
  • Experience with reporting platforms, including modeling data in support of reporting and analysis.
  • Preferred experience with Matillion, Melissa, Power BI, Salesforce, Ticketmaster, and Fanatics.
  • Experience in the Sports and Entertainment industry is a strong plus.
  • Strong problem-solving skills and attention to detail.
  • Effective team collaboration, communication, and interpersonal skills.

We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law.