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Senior Data Analyst

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Location
Remote
Big Time Studios

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.

Advice from our career coach

As a Senior Data Analyst at Big Time Studios, you will play a critical role in analyzing large datasets to drive the success of our video game products. To stand out as an applicant for this role, here are some key tips:

  • Hold a Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Software Engineering, or a related field.
  • Demonstrate proficiency in data visualization tools like Tableau, Power BI, Looker Studio, or ThoughtSpot.
  • Show strong programming skills in Java/JavaScript, SQL, and Python, with experience using data science libraries (e.g., Pandas, NumPy, scikit-learn).
  • Have knowledge of machine learning techniques, including regression, classification, clustering, and time series analysis.
  • Highlight effective communication skills, especially the ability to present complex findings concisely.
  • If you have crypto or web3 development experience, be sure to emphasize that in your application.

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About the job

Jul 11, 2024

Full-time

Remote

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