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Nba Data Analytics Jobs in Georgia (NOW HIRING)

... NFL, NBA, and Esports titles like League of Legends and Counter-Strike. Our team of over 550 ... * 1+ years of Data Analytics experience in an e-commerce, direct-to-consumer, or retail ...

Focused primarily on MLB, NBA, and NHL properties, this role ensures our ad inventory is forecasted ... Support pricing strategies by providing data-driven insights on inventory demand, ratings ...

... NFL, NBA, and Esports titles like League of Legends and Counter-Strike. Our team of over 550 ... Develop data-driven narratives to communicate findings to both technical and non-technical ...

Promotions Manager

Atlanta, GA · On-site +1

$95K - $120K/yr

... NFL, NBA, and Esports titles like League of Legends and Counter-Strike. Our team of over 550 ... Utilize data analytics to constant test, learn and improve upon promotional performance. * Identify ...

Assistant General Counsel

Atlanta, GA · On-site

$150 - $230/hr

S. broadcasts of MLB, NBA, and NHL games; and influences sports fans of all ages through the ... data analysis, workshops, and support groups, we are dedicated to creating a workplace where ...

Collect, analyze, and interpret biomechanical and physiological data. * Help integrate data into ... NBA Draft each year, and our practitioner education courses and workshops provide industry ...

Sports Science Intern - Spring 2026

Alpharetta, GA · On-site

$14.75 - $19.50/hr

Collect, analyze, and interpret biomechanical and physiological data. * Help integrate data into ... NBA Draft each year, and our practitioner education courses and workshops provide industry ...

S. broadcasts of MLB, NBA, and NHL games; and influences sports fans of all ages through the ... data analysis, workshops, and support groups, we are dedicated to creating a workplace where ...

Staff Machine Learning Engineer

Atlanta, GA · On-site +1

$220K - $280K/yr

... NFL, NBA, and Esports titles like League of Legends and Counter-Strike. Our team of over 550 ... analysis to smart deposit defaults. * Feature Engineering & Data Strategy: Partner with Data ...

Client Service Representative

Atlanta, GA · On-site

$15.50 - $21/hr

S. broadcasts of MLB, NBA, and NHL games; and influences sports fans of all ages through the ... data analysis, workshops, and support groups, we are dedicated to creating a workplace where ...

Client Service Representative

Atlanta, GA · On-site

$15.50 - $21/hr

S. broadcasts of MLB, NBA, and NHL games; and influences sports fans of all ages through the ... data analysis, workshops, and support groups, we are dedicated to creating a workplace where ...

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Showing results 1-20

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.

Infographic showing various Nba Data Analytics job openings in Georgia as of August 2026, with employment types broken down into 100% Full Time. Highlights an 50% In-person, and 50% Remote job distribution.

Marketing Contact Strategy & Analytics Manager Sr

Flagstar Bank

Atlanta, GA • On-site

Full-time

Medical, Dental, Vision, Life

Posted 22 days ago


Job description

Position Title

Marketing Contact Strategy & Analytics Manager Sr

Location

Nationwide, MI 48098

Job Summary

Flagstar\'s Marketing Analytics & Activation Team leverages cutting-edge analytics, modern data platforms, and decision intelligence capabilities to drive smarter, more personalized marketing and sales actions across the full customer lifecycle. We are seeking a strategic and hands-on Decision Intelligence Manager to own and advance our next best action (NBA) capabilities focused on existing and former customer marketing for both consumer and small business segments.
In this role, you will be responsible for building and managing the end-to-end processes that determine the optimal next marketing or sales action for each customer — driving cross-sell, reacquisition, engagement deepening, and retention outcomes across all channels. You will own the target audience creation and data pipelines that activate these audiences in an always-on fashion across direct mail, email, targeted digital, and outbound calling channels. You will also partner cross-functionally to define KPIs, direct the development of performance reporting and dashboards, and ensure the technology ecosystem supporting decision intelligence is operating effectively.

Job Responsibilities:

JOB RESPONSIBILITIES  

Decision Intelligence & Next Best Action Strategy 

  • Own the strategy, design, and continuous improvement of next best action (NBA) and next best offer (NBO) frameworks for existing and former consumer and small business customers. 

  • Build and manage decisioning logic and prioritization models that balance customer needs with business objectives across all product lines including deposits, lending, wealth, treasury management, and merchant services. 

  • Identify and operationalize data-driven moments that matter — leveraging behavioral signals, life events, transactional triggers, and engagement patterns to ensure the right message is communicated to the right customer at the right time through the right channel, capitalizing on the highest-value opportunities to drive meaningful engagement and action. 

  • Develop and maintain always-on audience segmentation strategies that identify the right customers for the right marketing or sales action at the right time. 

  • Leverage existing and former customer data environments to surface high-value opportunities for cross-sell, reacquisition, engagement deepening, and retention. 

Audience Creation & Channel Activation 

  • Own the end-to-end process of building, managing, and delivering targeted customer audiences for activation across all marketing and sales channels including direct mail, email, targeted digital advertising, and outbound calling. 

  • Manage data pipelines and workflows required to extract, transform, and deliver audience files and segments to channel execution partners and platforms in a timely and accurate manner. 

  • Ensure audiences are refreshed and maintained on an always-on cadence to support continuous marketing and sales motions rather than solely episodic campaign activity. 

  • Partner with channel owners and marketing operations to ensure seamless audience ingestion, suppression logic, and contact frequency governance. 

Technology & Data Pipeline Management 

  • Own and manage the technology stack and data infrastructure supporting decision intelligence and audience activation, including cloud data environments (preferably Snowflake), CRM platforms, and marketing activation tools. 

  • Build, maintain, and optimize scalable data pipelines that support audience creation, model scoring, and channel delivery. 

  • Partner with data engineering and technology teams to ensure data quality, pipeline reliability, and scalability of the decisioning and activation environment. 

  • Evaluate and recommend enhancements to the technology ecosystem to improve decisioning speed, accuracy, and channel reach. 

Product & Segment Scope 

  • Apply decision intelligence capabilities across the full breadth of Flagstar\'s consumer and small business product portfolio including: 

  • Consumer Deposits: Checking, savings, money market, and time deposits. 

  • Consumer Lending: Mortgage, HELOC, credit card, and personal loans.

  • Small Business: Deposit accounts, business loans, treasury management, and merchant services.

  • Wealth Services: Financial consultant referrals and wealth product engagement.

  • Ensure decisioning frameworks account for the unique needs, behaviors, and lifecycle stages of both consumer and small business customer segments. 

KPIs, Measurement & Reporting 

  • Collaborate with marketing, analytics, and business line partners to define the KPIs and success metrics used to measure the effectiveness of decision intelligence and always-on marketing programs. 

  • Direct the creation of performance dashboards, reporting, and analytics that provide visibility into cross-sell rates, reacquisition rates, retention outcomes, engagement depth, and channel performance. 

  • Monitor program performance continuously and use insights to refine decisioning logic, audience strategies, and channel mix. 

  • Communicate results, insights, and recommendations clearly to senior marketing and business stakeholders. 

ADDITIONAL ACCOUNTABILITIES 

  • Performs special projects, and additional duties and responsibilities as required. 

  • Consistently adheres to regulatory and compliance policies and standards linked to the job as listed and completes required compliance trainings. Accountable to maintain compliance with applicable federal, state, and local laws and regulations. 

  • May be responsible for talent management functions including: employment, performance evaluations, staff development/training, disciplinary actions, succession planning and ensuring all staff comply with compliance requirements. 

JOB REQUIREMENTS  

Required Qualifications: 

  • Undergraduate Degree (4 years or equivalent) in Marketing, Statistics, Data Science, Computer Science, Business, or a related field. 

  •  Minimum experience required:  8+ years of hands-on experience in marketing analytics, decision intelligence, customer data management, or related roles within financial services or a similarly complex consumer-facing industry. 

  • Demonstrated experience building and managing next best action, propensity modeling, or customer decisioning frameworks at scale. 

  • Experience with CRM platforms (e.g., Salesforce, Microsoft Dynamics, or equivalent) and understanding of how CRM data supports marketing and sales activation. 

  • Strong hands-on experience with SQL for data querying, audience construction, and pipeline development. 

  • Experience with cloud data platforms, preferably Snowflake. 

  • Proven ability to manage data pipelines and audience delivery workflows supporting multi-channel marketing activation. 

  • Experience working across multiple marketing channels including direct mail, email, targeted digital, and outbound calling. 

  • Solid understanding of consumer and/or small business banking products and customer lifecycle dynamics. 

  • Proven ability to lead cross-functional workstreams and manage projects independently. 

Preferred Qualifications: 

  • Experience with Python or R for data manipulation, model scoring, or automation. 

  • Familiarity with marketing automation and campaign management platforms (e.g., Salesforce Marketing Cloud, Microsoft Customer Insights, or equivalent). 

  • Experience with BI and data visualization tools such as Power BI, Tableau, or similar. 

  • Knowledge of machine learning concepts and experience operationalizing propensity or recommendation models in a marketing context. 

  • Experience with identity resolution, customer data platforms (CDPs), or data clean room environments. 

  • Prior experience in a bank, credit union, or financial services marketing environment. 

Job Competencies: 

  • Strong communication and presentation skills with the ability to translate complex analytical concepts for non-technical marketing and business stakeholders. 

  • Excellent stakeholder management skills with experience working across marketing, technology, data engineering, and business line teams. 

  • Advanced knowledge of data environments, data governance, and data quality best practices. 

  • Advanced technical and analytical skills with a strong bias toward actionable, outcome-driven analysis. 

  • Strong strategic planning skills with the ability to connect data capabilities to business growth objectives. 

  • Highly organized and detail-oriented with the ability to manage multiple priorities and deadlines simultaneously. 

  • Collaborative mindset with a strong sense of ownership and accountability for outcomes. 

  • Demonstrates a strong ability to build and maintain effective relationships with stakeholders by communicating clearly, engaging in proactive collaboration, and leveraging cross-functional insights. Aligns relationship building efforts with enterprise goals to accelerate performance and drive strategic results. 

  • Builds trusted client relationships, whether internal or external, by identifying needs and delivering tailored solutions to enhance the overall client experience. 

  • Fosters or supports a positive work culture and productive work environment, displaying importance of effective relationships with customers and stakeholders. 

  • Physical demands (ADA): No unusual physical exertion is involved. 

Flagstar is an Equal Opportunity Employer 

We are committed to providing clear and accurate compensation information in accordance with applicable laws. Actual starting base pay will be determined based on location, experience, and other non-discriminatory factors permitted by law. Total compensation may also include variable incentives, bonuses, commissions, or other awards as outlined in the offer of employment. Flagstar provides teammates access to a variety of benefits including medical, dental, vision, life, and disability insurance, as well as a comprehensive leave program. Please click the following link for detailed information: Benefits | Flagstar Bank 

Pay Range

$105,822.75 - $171,347.00

Qualified applicants with arrest or conviction records will be considered for employment in accordance with the California Fair Chance Act, the Los Angeles County Fair Chance Ordinance, the City of Los Angeles Fair Chance Initiative for Hiring Ordinance, and the San Francisco Fair Chance Ordinance, as appliable.