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Game Data Analyst Full Time Jobs in Indiana (NOW HIRING)

Data Analyst City: West Lafayette Job Summary The Institutional Data Analytics + Assessment (IDA+A ... P2: 2+years (a full-time internship may count toward experience) * P3: 4+years * P4: 6+years

Job Type Full-time Description Merchants Bank is expanding its analytics capability in supporting multifamily lending (MCC) and enterprise reporting requirements. We are seeking a Data Analyst with ...

Data analyst Location: WARSAW, IN Full time position with PHARMA industry TRAVEL: Global travel if applicable would be extremely minimal. Some domestic travel may be required but very little. This ...

Data analyst Location: WARSAW, IN Full time position with PHARMA industry TRAVEL: Global travel if applicable would be extremely minimal. Some domestic travel may be required but very little. This ...

Data Analyst (77180)

Indianapolis, IN · On-site

$62K - $65K/yr

We are currently seeking a full-time Data Analyst to join our team at the Indiana Regional Office located in Indianapolis, Indiana. The Data Analyst will be responsible for analyzing data related to ...

Senior Financial Analyst - Full-Time (On-Site) - Lafayette, IN Salary: $80,000 - $100,000 per year ... Analyze financial data to provide actionable insights and support decision-making * Develop ...

Senior Financial Analyst - Full-Time (On-Site) - Lafayette, IN Salary: $80,000 - $100,000 per year ... Analyze financial data to provide actionable insights and support decision-making * Develop ...

Senior Financial Analyst - Full-Time (On-Site) - Lafayette, IN Salary: $80,000 - $100,000 per year ... Analyze financial data to provide actionable insights and support decision-making * Develop ...

Senior Financial Analyst - Full-Time (On-Site) - Lafayette, IN Salary: $80,000 - $100,000 per year ... Analyze financial data to provide actionable insights and support decision-making * Develop ...

Senior Financial Analyst - Full-Time (On-Site) - Lafayette, IN Salary: $80,000 - $100,000 per year ... Analyze financial data to provide actionable insights and support decision-making * Develop ...

Senior Financial Analyst - Full-Time (On-Site) - Lafayette, IN Salary: $80,000 - $100,000 per year ... Analyze financial data to provide actionable insights and support decision-making * Develop ...

Senior Financial Analyst - Full-Time (On-Site) - Lafayette, IN Salary: $80,000 - $100,000 per year ... Analyze financial data to provide actionable insights and support decision-making * Develop ...

Senior Financial Analyst - Full-Time (On-Site) - Lafayette, IN Salary: $80,000 - $100,000 per year ... Analyze financial data to provide actionable insights and support decision-making * Develop ...

Senior Financial Analyst - Full-Time (On-Site) - Lafayette, IN Salary: $80,000 - $100,000 per year ... Analyze financial data to provide actionable insights and support decision-making * Develop ...

Senior Financial Analyst - Full-Time (On-Site) - Lafayette, IN Salary: $80,000 - $100,000 per year ... Analyze financial data to provide actionable insights and support decision-making * Develop ...

Senior Financial Analyst - Full-Time (On-Site) - Lafayette, IN Salary: $80,000 - $100,000 per year ... Analyze financial data to provide actionable insights and support decision-making * Develop ...

Senior Financial Analyst - Full-Time (On-Site) - Lafayette, IN Salary: $80,000 - $100,000 per year ... Analyze financial data to provide actionable insights and support decision-making * Develop ...

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Game Data Analyst Full Time information

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

To thrive as a Game Data Analyst, you need strong analytical and statistical skills, proficiency in data interpretation, and a relevant degree such as in mathematics, statistics, or computer science. Familiarity with SQL, Python or R, data visualization tools (like Tableau), and analytics platforms is typically required. Strong communication, problem-solving abilities, and a passion for gaming help analysts effectively translate complex data into actionable insights for diverse teams. These skills enable informed decision-making, optimize player experiences, and drive business success in the fast-evolving gaming industry.

How do Game Data Analysts typically collaborate with game developers and designers during the development process?

Game Data Analysts work closely with developers and designers to interpret player data, identify trends, and provide actionable insights that influence game design decisions. They often participate in regular meetings to discuss the impact of new features or updates, and may create dashboards or reports to visualize player behaviors. Effective communication is key, as analysts translate complex data findings into clear recommendations that help improve player engagement and retention. This collaborative environment fosters both creative input and data-driven decision-making during the game's lifecycle.

What does a Game Data Analyst do?

A Game Data Analyst is responsible for collecting, analyzing, and interpreting data from video games to help developers understand player behavior and improve game design. They use statistical tools and data visualization techniques to identify trends, measure the effectiveness of features, and provide actionable insights. Their work guides decisions on gameplay balancing, monetization strategies, and user engagement, ultimately making games more enjoyable and successful.

What is the difference between Game Data Analyst Full Time vs Game Data Analyst Part Time?

AspectGame Data Analyst Full TimeGame Data Analyst Part Time
Work ScheduleTypically 40 hours/week, full-time commitmentFewer hours, flexible schedule
CredentialsSame certifications and skills requiredSame credentials, often with less experience needed
Work EnvironmentFull-time employment, often in office or remotePart-time, flexible or remote options
Industry UsageCommon in gaming companies, studios, and tech firmsUsed in similar settings, often for project-based work

Game Data Analyst Full Time roles involve a standard workweek with comprehensive responsibilities, while Part Time positions offer flexibility with fewer hours. Both roles require similar skills and credentials, but full-time roles typically provide more stability and benefits.

What are the most commonly searched types of Game Data Analyst jobs in Indiana? The most popular types of Game Data Analyst jobs in Indiana are:
What are popular job titles related to Game Data Analyst Full Time jobs in Indiana? For Game Data Analyst Full Time jobs in Indiana, the most frequently searched job titles are:
What cities in Indiana are hiring for Game Data Analyst Full Time jobs? Cities in Indiana with the most Game Data Analyst Full Time job openings:
Data Analyst

Data Analyst

Purdue University

West Lafayette, IN • On-site

Full-time

Retirement

Posted 6 days ago


Purdue University rating

7.5

Company rating: 7.5 out of 10

Based on 132 frontline employees who took The Breakroom Quiz

261st of 528 rated colleges and universities


Job description

Req Id: 42215
Job Title: Data Analyst
City: West Lafayette
Job Description:
Job Summary
The Institutional Data Analytics + Assessment (IDA+A) office is seeking a Data Analyst (P@), Senior Data Analyst (P3), or Lead Data Analyst (P4). This role supports high-visibility institutional priorities through advanced analytics, reporting, and strategic insight, enabling leaders to make informed decisions that impact students, faculty, and operations at scale.
In this role, you will contribute to research, statistical analysis, report development, dashboard creation, and evidence-based decision support. Working closely with a broad range of campus stakeholders, you will support data-informed decision-making for both day-to-day operations and broader institutional initiatives.
This position will be filled at the appropriate career level (P2, P3, or P4) based on the selected candidate's skills and experience. Responsibilities, scope, and influence increase with level. All levels emphasize collaboration, teamwork, and the delivery of clear, insightful, actionable, and customer-focused analytics. Depending on level, you will work alongside analytics colleagues (P2), mentor and influence peers (P3), or lead complex initiatives and set analytical standards (P4), while partnering closely with staff in assessment, data engineering, data science, and data governance.
Fully remote and hybrid work options are available.
For full consideration, an attached resume and cover letter are required.
This posting represents multiple vacancies.
Responsibilities
  • P2 (Data Analyst): Executes analyses, builds reports, develops technical skills
  • P3 (Senior): Leads projects, mentors peers, improves data quality and practices
  • P4 (Lead): Drives strategy, leads large initiatives, sets standards across domains

Support Data and Information Needs (All Levels)
  • Deliver timely, accurate routine and ad hoc reports, dashboards, and analyses
  • Create and maintain curated data sets to support reporting and analytics
  • Conduct descriptive, summary, and statistical analyses (e.g., regression, ANOVA)
  • Interpret results and communicate findings clearly to technical and non-technical stakeholders
  • Independently complete analytical projects of increasing complexity based on level

Training, Documentation, and Metadata (All Levels)
  • Author and maintain metadata, data definitions, and technical specifications
  • Contribute to training materials and documentation supporting data fluency
  • Provide system administration support for the Data Cookbook and enterprise metadata tools

Participate in the Purdue Data Community (All Levels)
  • Collaborate with campus data partners to enhance data quality and shared understanding
  • Communicate effectively with stakeholders across functional and technical areas
  • Model best practices in data stewardship, documentation, and responsible data use

Enhance Data Quality and Analytical Standards (P3 & P4)
  • Collaborate with campus partners to improve data quality through enhancements and process improvements
  • Resolve complex data quaity issues spanning multiple subject areas or systems
  • Develop and execute validation plans for new data sets and business intelligence updates
  • Influence adoption of standards, best practices, and consistent analytical approaches

Strategic Partnership & Leadership (P3 & P4)
  • Build deep understanding of functional areas such as Enrollment Management Communications, the Registrar, Admissions, and/or Financial Aid
  • Translate functional needs into tailored analytical solutions
  • Serve as a trusted analytics partner for assigned domains

Leadership & Impact (P4)
  • Lead large, complex, and often ambiguous analytics initiatives with cross-departmental impact
  • Set analytical standards and guide approaches for reporting, validation, and data use
  • Mentor and coach analytics colleagues; review and guide others' work
  • Provide measurable input into planning, prioritization, and strategic initiatives
  • Serve as a subject-matter expert representing IDA+A in campus-wide efforts

What We're Looking For:
  • Bachelor's degree
  • Experience in data extraction, processing, visualization, and analysis:
  • P2: 2+years (a full-time internship may count toward experience)
  • P3: 4+years
  • P4: 6+years
  • Strong communication skills, including presenting findings and maintaining documentation
  • Ability to work effectively with stakeholders at all organizational levels
  • Ability to handle sensitive and confidential data responsibly
  • Experience with BI tools (Tableau preferred)
  • Knowledge of relational databases and reporting tools (SQL and Cognos preferred)
  • Experience conducting statistical analysis (e.g., SAS, SPSS, Minitab)
  • Strong attention to detail, quality, and self-directed work

What Is Helpful:
Applicants are not expected to meet every preferred qualification.
  • Degree in Business, Management, Financial Management, MIS, CIT, Math/Statistics, Behavioral & Social Sciences, or a related field
  • Master's degree
  • Experience with SQL, Tableau, Cognos, SAS, SPSS, Minitab, R. Python, Excel, and PowerPoint
  • Experience supporting higher education data, analytics, or reporting environments
  • Experience using generative AI tools to support analytical workflows (e.g., documentation, exploratory analysis, summarization), with attention to responsible and ethical use

What We Want You To Know:
  • Fully remote and hybrid work options are available
  • This posting represents multiple vacancies
  • For full consideration, an attached resume and cover letter are required
  • Purdue will not sponsor employment authorization for this position
  • A background check is required for employment in this position
  • FLSA: Exempt (Not eligible for overtime)
  • Retirement Eligibility: Defined Contribution Waiting Period
  • Purdue University is an EO/EA University.

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