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Director Baseball Data Analyst Jobs in Indiana (NOW HIRING)

Description We are seeking a highly skilled and experienced Data Analyst Subject Matter Expert (SME) Contractor Support Lead to provide advanced analytical expertise in direct support of government ...

ORA_ON_SITE Description We are seeking a highly skilled and experienced Data Analyst Subject Matter Expert (SME) Contractor Support Lead to provide advanced analytical expertise in direct support of ...

ORA_ON_SITE Description We are seeking a highly skilled and experienced Data Analyst Subject Matter Expert (SME) Contractor Support Lead to provide advanced analytical expertise in direct support of ...

Up to $45K Direct Hire Pinnacle Partners is assisting our client in their search for a Jr. Data Analyst to join their growing data team in the Indianapolis, IN area. This person will support the ...

New

LHH is seeking a Manufacturing Data Analyst for a Direct Hire, Permanent Placement position with a manufacturing client located in Indianapolis, IN. This is an outstanding opportunity to join a ...

LHH is seeking a Manufacturing Data Analyst for a Direct Hire, Permanent Placement position with a manufacturing client located in Indianapolis, IN. This is an outstanding opportunity to join a ...

Summary The Operations Data Analyst plays a critical role in driving operational efficiency and ... of directors. * Mathematical skills: Ability to work with mathematical concepts. * Reasoning:

Description We are seeking a highly skilled and experienced Data Analyst Subject Matter Expert (SME) Contractor Support Lead to provide advanced analytical expertise in direct support of government ...

Major Responsibilities Under direction from the Director, Complaints Management, the Senior Data Analyst will be responsible for the following tasks: * Ensure that data analysis and reporting is ...

... Director. * Develop and foster internal and external relationships with various 340B program counterparts and act as a liaison between internal departments and external vendors. * This is a 100 ...

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Director Baseball Data Analyst information

What is the difference between Director Baseball Data Analyst vs Baseball Data Analyst?

AspectDirector Baseball Data AnalystBaseball Data Analyst
Required CredentialsBachelor's or Master's in Data Science, Sports Management, or related field; extensive experienceBachelor's in Data Science, Sports Management, or related field; entry to mid-level experience
Work EnvironmentLeadership role overseeing teams, strategic planning, collaboration with executivesData analysis, reporting, and modeling primarily focused on specific projects
Employer & Industry UsageMajor league teams, sports organizations, analytics firmsTeams, sports organizations, analytics companies, media outlets

The main difference between a Director Baseball Data Analyst and a Baseball Data Analyst lies in their level of responsibility and scope. The director oversees teams, strategic initiatives, and high-level decision-making, while the analyst focuses on data collection, analysis, and reporting. Both roles require strong analytical skills and relevant credentials, but the director's role is more leadership-oriented.

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

To thrive as a Director Baseball Data Analyst, you need deep expertise in statistical analysis, data modeling, and a strong background in sports analytics, typically supported by a degree in statistics, mathematics, or a related field. Advanced proficiency with programming languages like Python or R, experience with SQL databases, and familiarity with baseball-specific analytics tools such as TrackMan or Statcast are essential. Leadership, communication, and strategic thinking are crucial soft skills for guiding teams and translating data insights into actionable strategies. These skills are vital for driving data-informed decision-making that enhances team performance and competitive advantage.

Do baseball teams hire data analysts?

Yes, many professional baseball teams hire data analysts to evaluate player performance, develop strategies, and improve team outcomes. These analysts often use statistical tools and data visualization software to support decision-making and may work closely with coaching staff and front office personnel.

What does a Director Baseball Data Analyst do?

A Director Baseball Data Analyst leads a team responsible for collecting, analyzing, and interpreting baseball-related data to support decision-making for a professional baseball organization. This role involves overseeing advanced statistical modeling, performance analysis, and the development of data-driven strategies to enhance player evaluation, scouting, and game tactics. The director collaborates closely with coaches, scouts, and front office executives to provide actionable insights that help optimize team performance and improve overall organizational success.

How does a Director Baseball Data Analyst typically collaborate with coaches and front office staff to influence team strategy?

A Director Baseball Data Analyst works closely with coaches and the front office by translating complex data into actionable insights that inform player development, game tactics, and roster decisions. Regular meetings and presentations are held to review findings, discuss player performance metrics, and evaluate strategic options. Effective communication is crucial, as analysts must bridge the gap between technical data and practical applications on the field, ensuring that stakeholders understand and can act on the recommendations provided. This collaborative environment fosters innovation and helps the team maintain a competitive edge.

Who is the director of analytics for the MLB?

The director of analytics for Major League Baseball (MLB) is responsible for overseeing data analysis and implementing advanced statistical methods to support team strategies and decision-making. This role typically requires expertise in data science, sports analytics tools, and a strong understanding of baseball metrics. The specific individual in this position can vary by team or organization within MLB.

How much do sports data analysts get paid?

Sports data analysts, including those in baseball, typically earn between $50,000 and $100,000 annually, depending on experience, education, and the level of the organization. Senior analysts or those working for major league teams may earn higher salaries, especially with advanced skills in data modeling and familiarity with tools like SQL and Python.

How much do MLB data analysts make?

MLB data analysts typically earn between $60,000 and $120,000 annually, depending on experience, education, and the level of responsibility. Senior analysts or those with specialized skills in data modeling and visualization may earn higher salaries, especially with additional certifications or advanced degrees.
What are the most commonly searched types of Baseball Data Analyst jobs in Indiana? The most popular types of Baseball Data Analyst jobs in Indiana are:
What cities in Indiana are hiring for Director Baseball Data Analyst jobs? Cities in Indiana with the most Director Baseball Data Analyst job openings:
Infographic showing various Director Baseball Data Analyst job openings in Indiana as of July 2026, with employment types broken down into 86% Full Time, 9% Part Time, 1% Temporary, and 4% Contract. Highlights an 85% Physical, 6% Hybrid, and 9% Remote job distribution.

Data Analyst

SAIC

Bedford, IN • On-site

Full-time

Posted 5 days ago


SAIC rating

7.9

Company rating: 7.9 out of 10

Based on 79 frontline employees who took The Breakroom Quiz

75th of 221 rated it services


Job description

Job Description
Description
We are seeking a highly skilled and experienced Data Analyst Subject Matter Expert (SME) Contractor Support Lead to provide advanced analytical expertise in direct support of government programs and initiatives. The Data Analyst SME Contractor Support Lead will serve as the primary contractor technical authority for all data analysis activities, delivering actionable insights, developing analytical frameworks, and advising government stakeholders on data strategy, methodology, and best practices. This role requires deep expertise in data analysis, strong communication skills, and the ability to translate complex data findings into clear, meaningful information for government customers at all levels. The ideal candidate will bring a combination of hands-on analytical proficiency, strategic thinking, and demonstrated experience operating in a government contracting environment to drive informed decision-making in support of government program objectives.
Key Responsibilities:
Government Stakeholder Interface & Reporting
  • Serve as the primary contractor point of contact for all data analysis activities, reporting directly to government stakeholders including program managers, contracting officers, and senior leadership
  • Provide regular status updates, analytical findings, and program reporting to government customers in accordance with contract requirements and government-directed reporting schedules
  • Prepare and deliver formal briefings, technical reports, white papers, and data products to government stakeholders at all levels
  • Respond to government requests for information, data calls, and ad hoc analytical tasking in a timely and accurate manner
  • Maintain transparent and professional communication with government counterparts while operating within appropriate contractor roles and boundaries
  • Support government-led program reviews, technical interchange meetings (TIMs), milestone decision reviews, and data governance forums
  • Assist government stakeholders in understanding analytical findings, data limitations, and recommendations to support informed decision-making
Subject Matter Expertise & Technical Advisory
  • Serve as the recognized contractor technical authority and primary resource for all data analysis-related activities in support of the government program
  • Provide expert guidance to government stakeholders on data analysis methodologies, statistical techniques, and analytical best practices
  • Advise government program leadership and team members on data strategy, data governance, and the appropriate use of analytical tools and techniques
  • Evaluate and recommend analytical approaches, tools, and technologies to improve the quality and efficiency of government data analysis efforts
  • Stay current with emerging trends, technologies, and methodologies in data analytics and apply relevant advancements to government program needs
  • Ensure all analytical recommendations and products align with government standards, policies, and program objectives
Data Collection & Management
  • Identify, acquire, and integrate data from multiple government and contractor sources, including databases, APIs, flat files, and real-time data streams
  • Assess data quality, completeness, and reliability, and implement data cleaning and validation processes to ensure analytical accuracy in support of government requirements
  • Develop and maintain data dictionaries, metadata documentation, and data lineage records in accordance with government data management standards
  • Establish and enforce data management standards and best practices across the contractor team consistent with government direction
  • Collaborate with government data stewards, data engineers, and IT personnel to ensure data pipelines and storage solutions meet government analytical requirements
  • Ensure all data handling, storage, and transfer activities comply with applicable government security and data privacy requirements
Data Analysis & Interpretation
  • Design and execute complex quantitative and qualitative analyses to address government program objectives and stakeholder questions
  • Apply advanced statistical methods, predictive modeling, and machine learning techniques as appropriate to derive meaningful insights in support of government decision-making
  • Conduct trend analysis, pattern recognition, anomaly detection, and root cause analysis across large and complex government datasets
  • Develop and validate analytical models, algorithms, and frameworks to support government program decision-making
  • Interpret and contextualize analytical findings within the broader government program or operational environment
  • Clearly communicate analytical assumptions, limitations, and uncertainties to government stakeholders to ensure appropriate use of findings
Data Visualization & Reporting
  • Design and develop clear, compelling, and intuitive data visualizations, dashboards, and reports tailored to government stakeholder needs and preferences
  • Translate complex analytical results into concise, actionable insights for both technical and non-technical government audiences
  • Develop standardized reporting templates and visualization frameworks for recurring government analytical products and contract deliverables
  • Prepare and submit all required contract data requirements list (CDRL) deliverables related to data analysis on time and in accordance with government-approved formats
  • Utilize industry-leading visualization tools such as Tableau, Power BI, or equivalent platforms approved for use within the government environment
Process Improvement & Innovation
  • Identify opportunities to improve data collection, processing, and analysis workflows to increase efficiency and analytical quality in support of government program objectives
  • Develop and implement repeatable, scalable analytical processes and standard operating procedures (SOPs) consistent with government requirements and approval
  • Introduce and champion innovative analytical approaches, automation, and tools to enhance government program capabilities, subject to government review and approval
  • Conduct lessons learned reviews and incorporate government feedback to continuously improve analytical products and processes
  • Propose process improvements and new analytical capabilities to government stakeholders with supporting justification and implementation plans

Qualifications
Minimum Requirements and Education:
  • Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, Engineering, or a related quantitative field (Master's degree preferred)
  • Minimum of 7-10 years of experience in data analysis, data science, or a related analytical discipline, with at least 3-5 years in a contractor support role interfacing directly with government customers
  • Demonstrated subject matter expertise in advanced statistical analysis, data modeling, and quantitative methods
  • Proficiency in data analysis programming languages such as Python, R, SQL, or equivalent
  • Experience with data visualization tools such as Tableau, Power BI, matplotlib, or equivalent
  • Strong experience with relational and non-relational database management systems
  • Proven ability to manage and analyze large, complex, and multi-source datasets in a government program environment
  • Thorough understanding of government contracting processes, roles, responsibilities, and reporting requirements
  • Excellent written and verbal communication skills, including the ability to present complex findings to government senior leadership and non-technical audiences
  • Strong critical thinking, problem-solving, and attention to detail
  • Ability to obtain and maintain a secret level security clearance

Overview
SAIC accepts applications on an ongoing basis and there is no deadline.
SAIC® is a premier mission integrator focused on advancing the power of technology and innovation to serve and protect our world. Our robust portfolio of offerings across the defense, space, intelligence, and civilian markets includes secure high-end solutions in mission IT, enterprise IT, engineering services, and professional services. We integrate emerging technology, rapidly and securely, into mission critical operations that modernize and enable critical national imperatives.
We are approximately 23,000 strong; driven by mission, united by purpose, and inspired by opportunities. SAIC is an Equal Opportunity Employer. Headquartered in Reston, Virginia, SAIC has annual revenues of approximately $7.3 billion. For more information, visit saic.com. For ongoing news, please visit our newsroom.

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