1

Senior Nba Data Analyst Jobs in Decatur, IN (NOW HIRING)

Data Engineer

Fort Wayne, IN · Hybrid

$113K - $135K/yr

Analyze requirements from the business and provide solutions or guidance for solutions Work with senior data analyst to establish data governance Non-Essential Duties and Responsibilities Perform ...

Senior Business Analyst

Van Wert, OH · On-site

$85 - $120/hr

Summary of Responsibilities The Senior Business Analyst is a strategic leader driving financial ... This role will leverage data analytics and ERP infrastructure to evaluate financial performance ...

Data Engineer I

Fort Wayne, IN · On-site

$113K - $135K/yr

... senior engineers. Assists in the collection, processing, and storage of data from various sources to ensure its availability for analysis and reporting. Supports data validation and maintains data ...

Data Engineer I

Fort Wayne, IN · On-site

$113K - $135K/yr

... senior engineers. Assists in the collection, processing, and storage of data from various sources to ensure its availability for analysis and reporting. Supports data validation and maintains data ...

Senior EDI Analyst

Fort Wayne, IN · On-site

$79K - $105K/yr

Senior EDI Analyst See What We're All About As the fastest-growing distributor of restaurant ... This role leads the end-to-end development of trading partner integrations, ensures data accuracy ...

next page

Showing results 1-20

Senior Nba Data Analyst information

See Decatur, IN salary details

$53.1K

$95.7K

$130.7K

How much do senior nba data analyst jobs pay per year?

As of Aug 22, 2026, the average yearly pay for senior nba data analyst in Decatur, IN is $95,741.00, according to ZipRecruiter salary data. Most workers in this role earn between $83,000.00 and $104,700.00 per year, depending on experience, location, and employer.

What is a Senior NBA Data Analyst?

A Senior NBA Data Analyst is a professional who analyzes basketball data to provide insights for teams, coaches, and executives in the National Basketball Association (NBA). They use advanced statistical methods, data visualization, and machine learning to interpret player performance, team strategies, and game trends. Their work helps inform decisions on player recruitment, game tactics, and overall team management. Senior analysts typically have several years of experience, strong technical skills, and a deep understanding of basketball. They may also present their findings to stakeholders and contribute to the development of data-driven strategies.

How does a Senior NBA Data Analyst collaborate with coaches and front office staff to inform strategic decisions?

As a Senior NBA Data Analyst, you will regularly work alongside coaches, scouts, and front office executives to translate complex data into actionable insights. This collaboration involves presenting data visualizations, statistical models, and performance metrics that help shape game strategies, player acquisitions, and roster management. Your ability to communicate findings clearly and tailor your analysis to the needs of various stakeholders is crucial. Additionally, you'll often participate in cross-functional meetings and contribute to the development of custom analytical tools that support team objectives.

What are the key skills and qualifications needed to thrive as a Senior NBA Data Analyst, and why are they important?

To thrive as a Senior NBA Data Analyst, you need expertise in statistical analysis, data modeling, and basketball analytics, often supported by a degree in statistics, mathematics, or a related field. Proficiency with programming languages like Python or R, advanced knowledge of SQL databases, and experience with data visualization tools such as Tableau are typically required. Strong communication, problem-solving, and teamwork skills help translate complex data insights into actionable strategies for coaches and executives. These skills are crucial for delivering high-impact analyses that drive player evaluation, game strategy, and organizational decision-making.

What is the difference between Senior Nba Data Analyst vs Nba Data Analyst?

AspectSenior Nba Data AnalystNba Data Analyst
Required CredentialsBachelor's degree in Data Science, Statistics, or related field; 3+ years experienceBachelor's degree in relevant field; 1-3 years experience
Work EnvironmentProfessional sports teams, analytics firms, or media companiesSports organizations, media outlets, or analytics agencies
Employer & Industry UsageUsed for advanced analysis, leadership, and mentoring rolesFocused on data collection, basic analysis, and reporting

The main difference between a Senior Nba Data Analyst and an Nba Data Analyst lies in experience, responsibilities, and leadership. Senior analysts typically have more expertise, handle complex projects, and mentor junior staff, whereas Nba Data Analysts focus on data collection and basic analysis. Both roles are essential in sports analytics but differ in scope and seniority.

Data Engineer

Dmainc

Fort Wayne, IN • Hybrid

$113K - $135K/yr

Full-time

Re-posted 18 days ago


Job description

As an employee-owned company, DMA prioritizes employees. Low turnover rates and tenured teams are living proof:

  • 2025 Great Places to Work Certified

  • Employee stock ownership program eligibility begins on day one of employment (ESOP contribution is targeted at 6% of your annual compensation)

  • Company paid parental leave

  • Generous time off package

  • Multiple benefit plans, eligibility begins on day one of employment

  • Culturally focused on work/life balance, and the overall wellness of our employees

This is a hybrid position with an expectation to be in our Fort Wayne, IN office a minimum of two days per week. This position does not qualify for relocation assistance. Must be authorized to work in the U.S. without the need for employment-based visa sponsorship now or in the future. This position does not qualify for employment-based sponsorship.

Position Summary

The Data Analyst will be primarily responsible for creating and maintaining DMA's infrastructure and systems that enable the collection, storage, and processing of data. This role is essential for ensuring data is accessible, reliable, and optimized for analysis and decision-making.

Essential Duties and Responsibilities

Design, build, and maintain robust data pipelines and ETL processes to ingest, transform, and deliver data from various sources.

Mine data from primary and secondary sources, then reorganize said data in a format that can be easily read by either human or machine

Use statistical tools to interpret data sets, pay particular attention to trends and patterns that could be valuable for diagnostic and predictive analytics efforts

Collaborate with programmers and engineers to improve efficiency and data organization; improve performance through data structure and query optimization

Ensure data integrity, quality, and security across all systems and platforms

Work with departments to provide insight and identify opportunities, improvements, recommend system modifications, and develop policies for data governance

Integrate structured and unstructured data from internal and external sources.

Monitor and troubleshoot data workflows, resolving issues proactively

Design, implement, and maintain critical data systems from ETL/ELT, Data Warehouse, BI Tools, and everything in between

Maintain documentation for data architecture, processes, and standards

Collaborate with data scientists, analysts, and product teams to support data needs.

Analyze requirements from the business and provide solutions or guidance for solutions

Work with senior data analyst to establish data governance

Non-Essential Duties and Responsibilities

Perform other duties as assigned

Education and Qualifications

Bachelor's degree in computer science, information systems, engineering, or related field.

2 to 5 years' experience as a data engineering role

Familiarity with professional programming preferred

Familiarity with relevant business domains

Ability to analyze large datasets and write comprehensive reports

Experience in data models and reporting packages

Experience working with data and data analytics development, preferably within the Microsoft data platform

Ability to understand business needs and translate them into technical solutions

Works effectively with analysts, stakeholders, and IT teams to deliver data solutions that drive business value

Proficiency in SQL and experience with relational and non-relational databases

Proficient with ELT/ETL and Data Warehousing development

Knowledge of relational databases and object-relational mapping concepts

Commitment to data quality, governance, and compliance

Understanding of data modeling, normalization, and schema design

Excellent organizational skills: ability to handle multiple projects

An analytical mind and inclination for problem-solving

Strong verbal and written communication skills

#LI-JS1

#LI-HYBRID

The Company is an equal employment opportunity employer and is committed to providing equal employment opportunities to its applicants and employees. The Company does not discriminate in employment opportunities or practices on the basis of race, color, religion, gender, national origin, citizenship, age, disability, veteran status, genetic information, or any other category covered by applicable federal, state, or local law. This equal employment opportunity policy applies to all employment policies, procedures, and practices, including but not limited to hiring, promotion, compensation, training, benefits, work assignments, discipline, termination, and all other terms and conditions of employment.
It is DMA's policy to make reasonable accommodations for qualified individuals with disabilities. If you have a disability and either need assistance applying online or need to request an accommodation during any part of the application process, please contact our Human Resources team at HRDepartment@dmainc.com or 800-309-2110 and choosing selection 6.