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Nba Data Analytics Jobs in Ohio (NOW HIRING)

Ace Stack

Pega CDH Developer

Strongsville, OH · On-site

$52 - $68/hr

... NBA Designer, and Customer Profile Designer. * Experience with Pega 8.x or higher versions. * Familiarity with data flows, adaptive models, and predictive analytics. * Experience in SQL queries

Compass Group

Senior Human Resources Manager

Cleveland, OH · On-site

$90K - $110K/yr

... NBA, NFL, and MLS All-Star Games. Job Summary Job Summary: Working as a Senior HR Manager, you will ... Your knowledge of employee relations and your strong analytical ability will be used to support HR ...

Compass Group

Senior Human Resources Manager

Cleveland, OH

$90K - $110K/yr

... NBA, NFL, and MLS All-Star Games. Job Summary Job Summary: Working as a Senior HR Manager, you will ... Your knowledge of employee relations and your strong analytical ability will be used to support HR ...

Compass Group

Senior Human Resources Manager

Cleveland, OH · On-site

$90K - $110K/yr

... NBA, NFL, and MLS All-Star Games. Job Summary Job Summary: Working as a Senior HR Manager, you will ... Your knowledge of employee relations and your strong analytical ability will be used to support HR ...

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Nba Data Analytics information

What is NBA data analytics?

NBA data analytics involves the collection, processing, and interpretation of basketball-related data to support decision-making within NBA organizations. Analysts use statistics, machine learning, and data visualization to evaluate player performance, optimize team strategies, and gain competitive advantages. This field combines knowledge of basketball with technical skills in data science and often supports front office staff, coaches, and scouting departments. The insights from data analytics can influence player recruitment, game tactics, and injury prevention.

How does an NBA data analytics professional collaborate with coaches and front office staff to influence team strategies?

NBA Data Analytics professionals play a crucial role in bridging the gap between raw data and actionable insights for coaches and front office staff. They regularly present their findings in clear, digestible formats—such as dashboards or reports—during team meetings or strategy sessions. Close collaboration is essential, as analysts often work alongside coaches to interpret player performance metrics, suggest lineup optimizations, or evaluate potential trades. This dynamic environment requires strong communication skills and the ability to translate complex analytics into practical recommendations that fit the team's goals and style of play.

What are the key skills and qualifications needed to thrive as an NBA data analyst, and why are they important?

To thrive as an NBA Data Analyst, you need strong quantitative skills, a background in statistics or data science, and a solid understanding of basketball analytics. Proficiency in programming languages like Python or R, data visualization tools such as Tableau, and experience working with large sports datasets are typically required, along with knowledge of advanced analytics techniques. Excellent communication, critical thinking, and teamwork skills help analysts translate complex data into actionable insights for coaches and management. These skills are crucial for making data-driven decisions that can impact player performance, game strategy, and overall team success.

What is the difference between Nba Data Analytics vs Nba Video Analyst?

AspectNba Data AnalyticsNba Video Analyst
Required SkillsData analysis, statistical tools, programming (Python, R)Video editing, playback software, basketball knowledge
Work EnvironmentOffice, data centers, sports analytics firmsStadiums, training facilities, broadcast rooms
Industry UsagePlayer performance, game strategy, scoutingGame breakdowns, player tendencies, coaching support

While both roles support NBA teams, Nba Data Analytics focuses on analyzing numerical data to inform decisions, whereas Nba Video Analysts interpret game footage to provide visual insights. Both are essential but serve different functions within team operations.

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What job categories do people searching Nba Data Analytics jobs in Ohio look for?

The top searched job categories for Nba Data Analytics jobs in Ohio are:

What cities in Ohio are hiring for Nba Data Analytics jobs?

Cities in Ohio with the most Nba Data Analytics job openings:

Nba Data Analytics jobs near you
Infographic showing various Nba Data Analytics job openings in Ohio as of August 2026, with employment types broken down into 1% As Needed, 88% Full Time, 9% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution.

Pega CDH Developer

Ace Stack

Strongsville, OH • On-site

$52 - $68/hr

Other

This job post has expired today. Applications are no longer accepted.

Job description

Pega CDH Developer

Location: Strongsville, OH / Phoenix, AZ / Dallas, TX / Pittsburgh, PA

Key Responsibilities:
  • Design and implement Next-Best-Action (NBA) strategies using Pega CDH.
  • Configure and optimize decision strategies, engagement policies, and predictive models.
  • Develop and maintain Pega rules, flows, and data models aligned with business requirements.
  • Integrate Pega CDH with external systems for data ingestion and outbound communication.
  • Collaborate with business analysts, architects, and QA teams to ensure high-quality deliverables.
  • Perform unit testing, debugging, and performance tuning of Pega applications.
  • Stay updated with Pega platform upgrades and best practices.
Required Skills & Qualifications:
  • 7+ years of experience in Pega development, with at least 4+ year in Pega CDH.
  • Strong knowledge of Pega Decisioning Framework, NBA Designer, and Customer Profile Designer.
  • Experience with Pega 8.x or higher versions.
  • Familiarity with data flows, adaptive models, and predictive analytics.
  • Experience in SQL queries
  • Understanding of integration protocols (SOAP, REST, MQ, etc.).
  • Pega certifications such as CPDC (Certified Pega Decisioning Consultant) or CSA/CSSA preferred.
  • Excellent problem-solving and communication skills.
Nice-to-Have:
  • API development and debugging
  • Knowledge of Agile methodologies and DevOps practices.
  • Exposure to cloud environments (AWS, Azure, GCP).
Roles & Responsibilities:
  • Represent the client organization (Bank) in technical discussions, design decisions, and solution architecture.
  • Lead end-to-end design and development of Pega applications, ensuring alignment with enterprise architecture and business goals.
  • Own and drive feature delivery across Agile teams, coordinating business analysts, product owners, and stakeholders.
  • Conduct design and implementation reviews to ensure adherence to Pega guardrails and best practices.
  • Provide technical leadership and mentorship to Pega developers, fostering skill development and enforcing coding standards.
  • Collaborate with cross-functional teams to gather requirements, perform impact analysis, and define scalable solutions.
  • Ensure production readiness of applications, including deployment planning, monitoring, and post-deployment support.
  • Identify and mitigate risks proactively, ensuring high availability and performance of Pega solutions.
  • Maintain documentation for design decisions, technical specifications, and operational procedures.
  • Participate in Agile ceremonies (Scrum, PI Planning, Retrospectives) and contribute to continuous improvement initiatives.
  • Ensure compliance with SDLC processes, regulatory requirements (if applicable), and internal governance policies.

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