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Senior Data Analyst

Remote: 
Full Remote
Experience: 
Mid-level (2-5 years)
Work from: 
Anywhere

Offer summary

Qualifications:

BS or MS in Computer Science, Statistics, Mathematics, or related., Proficient in data visualization tools (Tableau, Power BI, etc.)., Strong programming skills in Java, SQL, Python., Knowledge of machine learning techniques., Effective communication/presentation skills..

Key responsabilities:

  • Analyze large datasets for actionable insights.
  • Collaborate with dev, marketing, and product teams.
  • Optimize game performance and player experience.
Big Time Studios logo
Big Time Studios Startup https://bigtime.gg/
11 - 50 Employees
About Big Time Studios
Big Time Studios builds next-generation, multiplayer AAA entertainment where players have control over their virtual assets.
See more Big Time Studios offers

Job description

About Us

Big Time  is a Player vs. Environment action RPG game combining adventure with a player-driven economy.

Big Time Studios also built Open Loot, a web3 gaming platform and marketplace to solve crypto UX and scalability, distribution, payments, and compliance. With a focus on quality midcore to hardcore games, our five initial launch partner studios go live starting in mid-2024.

The Mission

The Big Time Analytics team is looking to hire one Senior Data Analyst to analyze large datasets and derive actionable insights that will drive the success of our video game products. You will work closely with our development, marketing, and product teams to understand player behavior, optimize game performance, and enhance the overall player experience.



Qualifications
  • Possess a Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Software Engineering, or a related field.
  • Must be able to speak and write professional-level English.
  • Proficient with data visualization tools such as Tableau, Power BI, Looker Studio, or ThoughtSpot.
  • Strong programming skills in Java/JavaScript, SQL, and Python, with experience using data science libraries (e.g., Pandas, NumPy, scikit-learn).
  • Knowledge of machine learning techniques, including regression, classification, clustering, and time series analysis.
  • Effective communication skills, with the ability to present complex findings concisely.
  • Crypto or web3 development experience preferred.

    • Required profile

    Experience

    Level of experience: Mid-level (2-5 years)
    Spoken language(s):
    English
    Check out the description to know which languages are mandatory.

    Hard Skills

    NumPy (Python Package)Scikit-Learn (Python Package)Data VisualizationEffective CommunicationPower BIDatabase ProgrammingPandas (Python Package)Look DevelopmentTableau (Business Intelligence Software)

    Other Skills

    • Collaboration
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