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Game Data Analyst Remote Jobs in Florence, AL (NOW HIRING)

Game Data Analyst Remote information

See Florence, AL salary details

$30.5K

$74.2K

$122.1K

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

As of Aug 25, 2026, the average yearly pay for game data analyst remote in Florence, AL is $74,175.00, according to ZipRecruiter salary data. Most workers in this role earn between $56,100.00 and $87,100.00 per year, depending on experience, location, and employer.

What does a remote game data analyst do?

A remote Game Data Analyst collects, processes, and interprets large sets of data generated by players in video games. They use statistical techniques and data visualization tools to identify player behaviors, trends, and areas for game improvement. Working remotely, they collaborate with game designers, developers, and marketing teams to provide insights that inform game development, monetization strategies, and player engagement. Their work helps ensure the game remains fun, fair, and profitable.

How does a remote game data analyst typically collaborate with development and design teams?

As a remote Game Data Analyst, collaboration with development and design teams usually happens through regular virtual meetings, shared dashboards, and project management tools. Analysts provide actionable insights from player data, helping designers refine game features and developers optimize gameplay mechanics. Effective communication and clear data visualizations are key, as you'll often translate complex metrics into recommendations that drive game improvements. Building strong remote relationships and maintaining open channels for feedback are essential for success in this role.

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

To thrive as a Game Data Analyst, you need strong analytical skills, proficiency in statistics, and a background in data science or a related field, often supported by a relevant degree. Experience with data analysis tools like SQL, Python, R, and visualization platforms such as Tableau or Power BI is typically required. Excellent communication, problem-solving abilities, and a passion for gaming help analysts convey insights and collaborate effectively with game development teams. These skills ensure data-driven decisions that enhance player experience and drive business growth in the gaming industry.

What is the difference between Game Data Analyst Remote vs Game Data Scientist?

AspectGame Data Analyst RemoteGame Data Scientist
Required CredentialsBachelor's in Data Science, Analytics, or related fieldBachelor's or Master's in Data Science, Statistics, or related field
Work EnvironmentRemote, collaborative with game development teamsRemote or on-site, often more research-focused
Industry UsageCommon in gaming companies for analytics rolesLess common, more specialized in data modeling and AI
Search & Comparison IntentOften compared for analytics roles in gamingCompared for advanced data modeling roles in gaming

Game Data Analyst Remote and Game Data Scientist roles share similarities in industry and remote work settings but differ in complexity and focus. Data analysts primarily interpret game data to improve user experience, while data scientists develop predictive models and advanced analytics. Understanding these differences helps candidates choose roles aligned with their skills and career goals.

What job categories do people searching Game Data Analyst Remote jobs in Florence, AL look for?

The top searched job categories for Game Data Analyst Remote jobs in Florence, AL are:

Automotive Dealership Data Analyst - Full-Time, On-Site

LL Shoals

Florence, AL • On-site, Remote

Full-time

Re-posted 18 days ago


Job description

Key Responsibilities Data Extraction & Reporting
  • Extract and compile data from dealership systems, OEM portals, CRM platforms, and third-party sources.
  • Build and maintain recurring reports for Sales, Service, Finance, and Operations teams across all ten dealership locations.
  • Respond to ad hoc reporting requests from department leaders with timely, accurate data.
  • This is a full-time on-site role at our Florence, AL corporate office. Applications from candidates outside the Shoals area or seeking remote/hybrid work will not be considered.
Data Quality & Analysis
  • Clean, validate, and reconcile data from multiple sources to ensure accuracy.
  • Partner with department managers to identify trends, inconsistencies, and opportunities within dealership data.
  • Document reporting processes, data sources, and reporting logic for consistency and continuity.
Dashboards & Automation
  • Create dashboards and visualizations using Microsoft Excel and Power BI.
  • Automate manual reporting processes using appropriate tools and scripting where applicable.
  • Collaborate with the IT team to improve reporting efficiency and data accessibility.
Required Qualifications
  • 2+ years of experience in reporting, data analysis, or a related field.
  • Ability to work full-time on-site at our Florence, AL corporate office.
  • Current residence in or near the Shoals area with the ability to commute daily.
  • Working knowledge of SQL, HTML, and Python.
  • Experience using AI tools such as Claude, ChatGPT, Microsoft Copilot, or Gemini to improve productivity and reporting workflows.
  • Advanced Microsoft Excel skills, including pivot tables, lookups, formulas, and data manipulation.
  • Experience working with multiple data sources and web-based business systems.
  • Strong organizational skills with the ability to manage multiple priorities and deadlines.
  • Excellent analytical, communication, and problem-solving skills.
Preferred Qualifications
  • Experience in automotive dealership operations.
  • Familiarity with dealership systems such as CDK, Reynolds & Reynolds, Dealertrack, VinSolutions, Elead, Tekion, or vAuto.
  • Experience with Power Query, APIs, scripting, or other data automation tools.
  • Understanding of dealership KPIs, including sales, inventory, fixed operations, and service performance metrics.
  • Microsoft Power BI Data Analyst Associate (PL-300)
  • Microsoft Excel Expert (MO-201)
  • SQL Certification
  • Google Data Analytics Professional Certificate