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Game Data Analyst Remote Jobs in Connecticut (NOW HIRING)

RTX Corporate

R2R SAP Business Analyst - Remote

Hartford, CT · On-site +1

$52.75 - $70.50/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

US-CT-REMOTE Position Role Type: Remote U.S. Citizen, U.S. Person, or Immigration Status ... Experience with finance processes including such as Finance Master Data, Allocations, FP&A, ...

LOVESAC COMPANY

Sr. Engineer, Data & Analytics

Stamford, CT · On-site +1

$100K - $125K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

About the Role As our Sr. Engineer, Data & Analytics, you will build both the data foundation and ... This position is remote and will report into Lovesac Corporate HUB based in Stamford, CT.

LOVESAC COMPANY

Sr. Engineer, Data & Analytics

Stamford, CT · Remote

$122K - $146K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

About the Role As our Sr. Engineer, Data & Analytics, you will build both the data foundation and ... This position is remote and will report into Lovesac Corporate HUB based in Stamford, CT.

Aequor

$115K - $138K/yr

100% Remote Please source at open market rate This is a job template for special exceptions. ABOUT ... Strong business analysis skills, including requirements gathering, process mapping, documentation ...

Milliman

Strategic Data Partnership Manager

Windsor, CT · Remote

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Over 300 leading healthcare organizations have come to rely on MedInsight analytic solutions for ... This position is fully remote, while occasional travel may be required. Primary Responsibilities:

BIC

Category Analyst, Shave

Shelton, CT · Remote

The Category Analyst supports U.S. category development initiatives through data analysis ... Data integrity across customer reporting #LI-remote BIC World is an Equal Opportunity Employer. We ...

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Game Data Analyst Remote information

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 are the most commonly searched types of Game Data Analyst jobs in Connecticut?

The most popular types of Game Data Analyst jobs in Connecticut are:

What are popular job titles related to Game Data Analyst Remote jobs in Connecticut?

For Game Data Analyst Remote jobs in Connecticut, the most frequently searched job titles are:

What job categories do people searching Game Data Analyst Remote jobs in Connecticut look for?

The top searched job categories for Game Data Analyst Remote jobs in Connecticut are:

What cities in Connecticut are hiring for Game Data Analyst Remote jobs?

Cities in Connecticut with the most Game Data Analyst Remote job openings:

Game Data Analyst Remote jobs near you

Technical Clinical Data Manager /Data Analyst (Remote)

Penfield Search Partners

Fairfield, CT • Remote

Full-time

Posted 18 days ago

Job description

Contact: Neisha Camacho/Terra Parsons -
No 3rd party candidates

We are partnering with a growing biotech organization seeking a Clinical Data Manager/Data Analyst to support ongoing and upcoming clinical programs across multiple therapeutic areas.

This role will sit within a highly collaborative clinical development team and is ideal for a hands-on, analytical Clinical Data Manager who enjoys digging into the data, identifying trends or issues proactively, and developing creative solutions to improve data quality and study execution. The client is seeking someone resourceful and technically curious — not just process-oriented — with the ability to independently explore datasets, generate meaningful reports, and surface potential issues early.

The ideal candidate will bring a blend of traditional clinical data management expertise along with strong data review, querying, and analytical skills. Experience with R, SQL, SAS, or other data interrogation and reporting tools is highly desirable.

Key Responsibilities

  • Support clinical data management activities across studies from start-up through database lock
  • Perform hands-on data review and exploratory analysis to identify data trends, inconsistencies, missing data patterns, and potential study risks
  • Develop custom reports, listings, and data visualizations to support proactive data cleaning and study oversight
  • Utilize R, SQL, SAS, or similar tools to query, analyze, and troubleshoot clinical datasets
  • Partner with CROs and vendors to ensure high-quality, timely data delivery
  • Collaborate cross-functionally with Clinical Operations, Biostatistics, Statistical Programming, Medical, and Safety teams on data review strategies and issue resolution
  • Contribute to development and review of key deliverables including:
    • Data Management Plans (DMPs)
    • eCRF design and completion guidelines
    • Edit checks and query logic
    • User Acceptance Testing (UAT)
    • Data review plans and cleaning processes
  • Support ongoing query management and ensure data integrity, consistency, and inspection readiness
  • Assist with implementation of data standards, reporting enhancements, and process improvements
  • Work independently to investigate data anomalies and recommend practical solutions in a fast-paced biotech environment

Qualifications

  • BS in a scientific, technical, or clinical discipline
  • Approximately 5–8 years of clinical data management experience within biotech, pharma, or CRO environments
  • Strong hands-on experience reviewing and interrogating clinical trial data
  • Experience using R, SQL, SAS, or other querying/reporting tools to analyze clinical data and generate custom reports
  • Experience with EDC systems such as Medidata Rave, Oracle, or Veeva
  • Working knowledge of CDISC standards (SDTM/ADaM) and downstream data usage
  • Experience supporting Phase II and/or III clinical trials; CNS experience is a plus
  • Exposure to CRO/vendor oversight
  • Understanding of clinical data structures and dictionaries including MedDRA and WHODrug
  • Strong critical thinking and problem-solving skills with the ability to work independently
  • Resourceful, proactive, detail-oriented, and comfortable operating in a dynamic biotech environment
  • Strong communication and cross-functional collaboration skills