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Senior Game Data Analyst Jobs in Raleigh, NC (NOW HIRING)

ANALYTICS What We Do Our Data & Analytics teams build powerful stories and visuals that inform the games we make, the technology we develop, and business decisions that drive Epic. What You'll Do ...

Support senior analysts in conducting financial research and special projects. Required Knowledge, Abilities, Skills: * Data Mining Techniques * Data Visualization * Programming for Data Analytics (e ...

ANALYTICS What We Do Our Data & Analytics teams build powerful stories and visuals that inform the games we make, the technology we develop, and business decisions that drive Epic. What You'll Do ...

ANALYTICS What We Do Our Data & Analytics teams build powerful stories and visuals that inform the games we make, the technology we develop, and business decisions that drive Epic. What You'll Do ...

Showing results 21-40

Senior Game Data Analyst information

See Raleigh, NC salary details

$53.5K

$96.5K

$131.7K

How much do senior game data analyst jobs pay per year?

As of Aug 19, 2026, the average yearly pay for senior game data analyst in Raleigh, NC is $96,460.00, according to ZipRecruiter salary data. Most workers in this role earn between $83,600.00 and $105,500.00 per year, depending on experience, location, and employer.

What does a senior game data analyst do?

A Senior Game Data Analyst is responsible for collecting, processing, and analyzing gameplay data to help game developers make informed decisions. They use advanced statistical methods and data visualization tools to identify player behavior trends, optimize game design, and improve player retention and monetization. Additionally, they work closely with other teams to define metrics, set up data tracking, and provide actionable insights based on data findings. Their expertise helps studios create more engaging and successful games.

How does a senior game data analyst typically collaborate with other departments within a game development studio?

A Senior Game Data Analyst works closely with various teams, including game designers, product managers, and marketing specialists, to interpret player behavior and game performance metrics. They often attend cross-functional meetings to present data-driven insights, suggest improvements, and support decision-making on features or monetization strategies. Effective collaboration involves translating complex data findings into actionable recommendations that are understandable to non-technical stakeholders. This role also frequently partners with engineering teams to ensure accurate data collection and reporting pipelines.

What are the key skills and qualifications needed to thrive as a senior game data analyst, and why are they important?

To thrive as a Senior Game Data Analyst, you need advanced analytical skills, a strong background in statistics or mathematics, and experience with data modeling, often supported by a relevant degree. Proficiency in SQL, Python or R, data visualization tools like Tableau, and familiarity with analytics platforms such as Google Analytics and game engines are typically required. Excellent problem-solving abilities, communication skills, and a collaborative mindset help analysts translate complex data into actionable insights for diverse teams. These skills are crucial for optimizing game performance, player engagement, and driving strategic decisions in a competitive gaming market.

What is the difference between Senior Game Data Analyst vs Game Data Analyst?

AspectSenior Game Data AnalystGame Data Analyst
Required CredentialsBachelor's/Master's in Data Science, Statistics, or related field; experience in gaming analyticsBachelor's in relevant field; entry-level experience preferred
Work EnvironmentLarge gaming companies, studios, or publishers; focus on complex data projectsGame studios, smaller companies; supporting data needs
Employer & Industry UsageCommon in gaming industry for data-driven decision makingUsed across gaming companies for basic analytics tasks

The main difference between a Senior Game Data Analyst and a Game Data Analyst lies in experience, responsibilities, and expertise. Senior analysts handle complex projects, provide strategic insights, and often mentor junior staff, while game data analysts focus on supporting data collection and basic analysis. Both roles are vital in gaming companies but differ in scope and seniority.

How much do senior game data analysts make?

Senior game data analysts typically earn between $70,000 and $120,000 annually, depending on experience, location, and company size. They often work with data analysis tools like SQL, Python, or R and may require knowledge of game development or user engagement metrics.

How much is a senior game data analyst paid?

A senior game data analyst typically earns between $70,000 and $120,000 annually, depending on experience, location, and company size. They often work with data analysis tools like SQL, Python, or R and may require industry-specific knowledge of gaming metrics.

What are the most commonly searched types of Game Data Analyst jobs in Raleigh, NC?

The most popular types of Game Data Analyst jobs in Raleigh, NC are:

What job categories do people searching Senior Game Data Analyst jobs in Raleigh, NC look for?

The top searched job categories for Senior Game Data Analyst jobs in Raleigh, NC are:

What cities near Raleigh, NC are hiring for Senior Game Data Analyst jobs?

Cities near Raleigh, NC with the most Senior Game Data Analyst job openings:

Infographic showing various Senior Game Data Analyst job openings in Raleigh, NC as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $96,460 per year, or $46.4 per hour.

Senior Enterprise Data Analyst

First Citizens Bank

Raleigh, NC • Hybrid

$83K - $105K/yr

Full-time

Re-posted 18 days ago


First Citizens Bank rating

7.4

Company rating: 7.4 out of 10

Based on 106 frontline employees who took The Breakroom Quiz

106th of 171 rated banks


Job description

Overview

This is a hybrid role, with the expectation that time working will regularly take place inside and outside of a company office. Charlotte, NC; Raleigh, NC;  Phoneix, AZ 

This role is part of the Enterprise Data organization and is primarily focused on the overarching governance and architecture of all data across the enterprise.

This position leads Bank initiatives that improve enterprise data quality, governance, reporting, and analytics at an advanced level of ability and technical expertise. Drives positive change across the Bank through technical innovation and continuous improvement initiatives, as well as through cross-functional partnership with other business units. Creates and maintains technical documentation related to enterprise data, including centralized critical business reports. Provides expert consultation to team members, the Information Technology department, the Bank's Data Council, and other stakeholders on strategies that achieve data management goals. May provide leadership to less experienced consultants in the work group.


Responsibilities

Data Enhancement & Analytics

  • Leads the implementation of enhancements to enterprise data quality, storage, and management within the Enterprise Data Warehouse.
  • Executes initiatives for data profiling, issue resolution, and system fixes.
  • Partner with Regulatory Reporting teams and key stakeholders to elicit, analyze, document, and prioritize business requirements for regulatory reporting initiatives, including FR Y-14, FR Y-9C, CCAR, and Liquidity Reporting. Ensure requirements are aligned with regulatory expectations, business objectives, and data governance standards.
  • Data Quality & Governance - Support the implementation of data quality rules and controls to ensure compliance with data governance and regulatory requirements
  • Supports and delivers special data-focused initiatives aligned to business needs.

Business Support & Governance

  • Enforces enterprise data policies, standards, and governance practices.
  • Conducts month-end data validations to ensure accuracy, completeness, and readiness for business use.
  • Collaborates with stakeholders to identify gaps and improve data management processes.
  • Provides training, guidance, and mentorship to junior team members as needed.

Business Strategy & Stakeholder Collaboration

  • Supports the development and execution of enterprise data strategy and roadmap.
  • Works cross-functionally to strengthen data management capabilities across business units.
  • Maintains current knowledge of emerging technologies, tools, and trends within financial services and data management.
  • Serves as a liaison between business, data, and technology teams to ensure alignment and successful delivery.

Documentation & Data Management

  • Creates and maintains technical documentation including:
  • Source-to-target mappings
  • Data dictionaries
  • Data lineage and governance artifacts
  • Develops and manages centralized, business-critical reporting assets.

Agile Delivery & Execution

  • Achieves Agile cadence by actively participating in all ceremonies (sprint planning, daily stand-ups, reviews, and retrospectives).
  • Ensures work is managed consistently through Agile frameworks and best practices.
  • Performs accurate estimation, backlog refinement, and capacity planning to support reliable delivery.

Backlog Quality & Delivery Readiness

  • Establishes and enforces a Definition of Ready (DoR) for all backlog items.
  • Ensures at least 90% of user stories meet DoR standards prior to sprint intake, including:
    • Clear linkage to parent Jira issue types
    • Well-defined acceptance criteria
    • User test cases
    • Data mapping requirements
  • Improves delivery efficiency and reduces rework through consistent backlog quality standards.

Outcome Focus

    • Delivers high-quality, reliable enterprise data solutions.
    • Improves data integrity, governance, and reporting accuracy.
    • Strengthens Agile delivery discipline and predictability.
    • Enables better business decision-making through trusted data and analytics.

Qualifications

Bachelor's Degree and 6 years of experience in Data Management, Data Analytics OR High School Diploma or GED and 10 years of experience in Data Management, Data Analytics

Preferred Education: Advanced Degree License or Certification Type: DAMA Certified Data Management Professional-Practitioner (CDMP-P) certification

Preferred Skill(s): Understanding of data warehousing and transformation methods, lineage documentation, and ETL processes, Knowledge of data spreadsheets and databases, Understanding of Base SAS programming, SAS Enterprise Guide, Cognos, or related programs, Ability to write SAS programming language

#LI-XG1

Benefits are an integral part of total rewards and First Citizens Bank is committed to providing a competitive, thoughtfully designed and quality benefits program to meet the needs of our associates. More information can be found at https://jobs.firstcitizens.com/benefits.

Qualifications:

Bachelor's Degree and 6 years of experience in Data Management, Data Analytics OR High School Diploma or GED and 10 years of experience in Data Management, Data Analytics

Preferred Education: Advanced Degree License or Certification Type: DAMA Certified Data Management Professional-Practitioner (CDMP-P) certification

Preferred Skill(s): Understanding of data warehousing and transformation methods, lineage documentation, and ETL processes, Knowledge of data spreadsheets and databases, Understanding of Base SAS programming, SAS Enterprise Guide, Cognos, or related programs, Ability to write SAS programming language

#LI-XG1

Benefits are an integral part of total rewards and First Citizens Bank is committed to providing a competitive, thoughtfully designed and quality benefits program to meet the needs of our associates. More information can be found at https://jobs.firstcitizens.com/benefits.

Education:UNAVAILABLEEmployment Type: FULL_TIME

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