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Non Union Football Data Analytics Jobs (NOW HIRING)

Mindlance

Data Analytics Analyst 2

Birmingham, AL · On-site

Mindlance is seeking a high-energy Data Analytics Analyst who thrives on problem-solving and ... Union, USA, with a team of 1001-5000 employees. The company is currently Late Stage.

4pconsultinginc

Data Analytics Analyst 3

Atlanta, GA · On-site

Present data insights and trends to technical and non-technical stakeholders Data Integration & ETL * Design and execute ETL (Extract, Transform, Load) processes to prepare data for analysis

Amentum

Data Analytics Specialist

Crane, IN · On-site

$100K - $160K/yr

We are seeking a highly skilled Data Analytics Specialist with 2-5 years of experience in data ... Ability to collaborate effectively with technical and non-technical stakeholders. * Must have the ...

American Express

Director, Data Analytics

Manhattan, NY · On-site

$186K - $256K/yr

American Express Company seeks Director, Data Analytics to provide data-intensive, strategic ... non-technical, senior-level audiences; and the credit card industry and charge card economics.

RWE

Data Analytics Lead

Chicago, IL

Communicates complex analytical findings to both technical and non-technical audiences by preparing executive presentations, written summaries, and live briefings that convey data-driven insights ...

RWE

Data Analytics Lead

Oakland, CA

Communicates complex analytical findings to both technical and non-technical audiences by preparing executive presentations, written summaries, and live briefings that convey data-driven insights ...

Pae

Data Analytics Specialist

Crane, IN · On-site

$100K - $160K/yr

We are seeking a highly skilled Data Analytics Specialistwith 2-5 years of experiencein data ... Ability to collaborate effectively with technical and non-technical stakeholders. * Must have the ...

RWE

Data Analytics Lead

Austin, TX

Communicates complex analytical findings to both technical and non-technical audiences by preparing executive presentations, written summaries, and live briefings that convey data-driven insights ...

G2.com, Inc

Data Analytics Specialist

Chicago, IL · On-site

$130K - $150K/yr

... non-technical stakeholders * Self-motivated and collaborative, with a track record of owning ... For job applicants in California, the United Kingdom, and the European Union, please review this ...

RWE

Data Analytics Lead

Austin, TX · On-site

Communicates complex analytical findings to both technical and non-technical audiences by preparing executive presentations, written summaries, and live briefings that convey data-driven insights ...

4pconsultinginc

Data Analytics Analyst 3

Birmingham, AL · On-site

Data Analytics Analyst 3 Location: Birmingham, AL ( HYBRID) Contract- 3 Years Client- Alabama Power ... Present findings clearly to both technical and non-technical stakeholders. * Innovation & Process ...

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Showing results 41-60

All JobsNon Union Football Data Analytics Jobs

Non Union Football Data Analytics information

What are the key skills and qualifications needed to thrive as a non union football data analyst?

To thrive as a Non Union Football Data Analyst, you need strong quantitative analysis skills, a background in statistics or data science, and a deep understanding of football tactics and performance metrics. Proficiency with data analytics tools such as Python, R, SQL, and specialized sports analytics software is typically required. Excellent attention to detail, effective communication, and the ability to translate complex data into actionable insights are critical soft skills for this role. These skills and qualities are essential for identifying trends, informing coaching decisions, and providing a competitive edge through data-driven strategies.

What is non union football data analytics?

Non union football data analytics involves collecting, processing, and interpreting data related to football (soccer or American football) performance, statistics, and strategy, outside of unionized organizations. Professionals in this field use statistical methods, software tools, and data visualization techniques to help teams, coaches, and management make better decisions. This role typically focuses on providing insights about player performance, match outcomes, and tactical trends, often for private companies, media, or non-union clubs. The 'non union' aspect means that the role is not governed by a labor union, which can affect job conditions and benefits.

What are some typical challenges faced by professionals in non union football data analytics roles?

Professionals in Non Union Football Data Analytics often encounter challenges such as consolidating and cleaning large, disparate datasets from different sources to ensure data accuracy. They must also communicate complex analytical findings to coaches and management in clear, actionable terms. Collaboration with scouts, coaching staff, and IT teams is frequent, requiring strong interpersonal skills and adaptability. Additionally, staying updated with the latest analytical tools and football trends is essential for delivering valuable insights that can influence team strategies.
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Non Union Football Data Analytics jobs near you
Infographic showing various Non Union Football Data Analytics job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Data & Analytics Developer

West Coast Logistics

Greenville, SC

$47 - $53/hr

Contractor

Posted 8 days ago

Job description

CLIENT HIGHLIGHT
The client you'll be supporting is a Fortune 500 global leader in energy technology, focused on helping the world produce cleaner, more reliable power. Their teams design and improve the systems that keep homes, businesses, and communities running, from gas and wind turbines to the electrical grids that connect them. This is a chance to be part of a company that's driving innovation, supporting sustainability, and shaping the future of energy.

LOCATION
Greenville, South Carolina, 29615

COMPENSATION
$47-53 per hour, full benefits offered

SCHEDULE
Hybrid; local candidates
Standard Hours: 40 hours per week

CONTRACT TERM
1 year with high likelihood of extension or conversion

POSITION OVERVIEW
The Data & Analytics (D&A) Developer II / Data Scientist supports the HDPE Operations & Strategy team, serving as the bridge between engineering domain knowledge, business operations, and IT execution. This role defines data requirements, builds AI/ML and scenario-planning models, and delivers harmonized insights and reporting to business stakeholders worldwide. Responsibilities: Analyze data across enterprise systems (SAP, Salesforce, Databricks, Power BI); develop and validate machine learning models for forecasting and scenario planning; build and maintain Python-based data pipelines; track project execution through P6 and other project systems; reverse-engineer existing dashboards and SQL logic; and translate technical findings into actionable business insights.

RESPONSIBILITIES
Data Analysis & Intelligence
  • Analyze data from multiple enterprise systems (SAP, Salesforce, Databricks, Power BI, labor and finance systems) to identify patterns, gaps, and improvement opportunities
  • Work with Program Managers and Operations leaders to define relevant data assets and specify how data should be accessed, interpreted, and used
  • Transform large structured/unstructured datasets (100k+ rows) into actionable insights
  • Conduct data quality checks and resolve data defects across enterprise platforms
AI/ML Model Development & Deployment
  • Develop and validate machine learning models supporting demand forecasting and scenario modeling
  • Document analytical findings, model performance, and data definitions for transparency and reproducibility
  • Build and maintain Python-based data pipelines for ETL, model training, and automated forecasting workflows in collaboration with Data Engineers
  • Translate business data challenges into concrete data science and AI/ML problem statements
  • Leverage LLMs and prompt engineering to build tools that augment decision-making and automate workflows
Scenario Planning & Project Execution Analytics
  • Design and execute scenario planning models to test business assumptions and evaluate what-if outcomes
  • Track project execution data across P6 (Primavera) and other systems, linking planning assumptions to actual performance
  • Support variance analysis between planned assumptions and actual execution to identify gaps and trends
  • Build automated tracking solutions monitoring assumption validity through project lifecycle stages
  • Collaborate with Program Managers to refine planning assumptions based on execution learnings
  • Provide data pipelines and data to build executive dashboards visualizing assumption-to-execution alignment
Existing Data Ecosystem & Optimization
  • Review existing dashboards, models, and data pipelines to understand design patterns and data flows
  • Read and interpret SQL queries and business logic embedded in current reports and analytical systems
  • Identify opportunities to optimize or consolidate existing reporting and modeling assets
  • Maintain consistency with established data standards and best practices
Business Stakeholder Collaboration & Continuous Improvement
  • Translate complex data findings and model outputs into clear, actionable insights for technical and non-technical audiences
  • Support centralized, KPI-based reporting solutions for business stakeholders across global business lines
  • Collaborate with Data Analysts and Data Engineers to ensure data requirements are implemented correctly at the pipeline and infrastructure level
  • Stay current with AI, ML, and data science advancements, proposing new approaches to enhance solutions
REQUIREMENTS
  • Bachelor's degree in Data Science, Computer Science, Engineering, or related field.
  • Strong proficiency in Python (pandas, numpy, scikit-learn, scipy) and SQL.
  • Experience with statistical modeling, scenario/what-if analysis, and model validation.
  • Familiarity with enterprise data systems (SAP, Salesforce, Databricks) and LLM/prompt engineering concepts.
  • Strong communication skills and ability to work across international, multicultural teams.