14 hours ago

Senior Data Analyst, Live Games Portfolio

Scopely

Hybrid
Full Time
$155,300
Hybrid

Job Overview

Job TitleSenior Data Analyst, Live Games Portfolio
Job TypeFull Time
Offered Salary$155,300
LocationHybrid

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Job Description

About Scopely

At Scopely, we care deeply about what we do and want to inspire play every day - whether in our work environments alongside our talented colleagues or through our deep connections with our communities of players. We are a global team of game lovers who are developing, publishing and innovating the mobile games industry, connecting millions of people around the world daily.

 

What You Will Do as a Senior Data Analyst, Live Games Portfolio

This role will be embedded centrally within our Live Games Portfolio supporting multiple games.

  • Analyze large, complex datasets representing the behavior of millions of players to address strategic and operational business questions
  • Transform data into actionable insights that drive meaningful business decisions
  • Design and deliver engaging dashboards and reports that provide clear visibility into game performance metrics and player behavior for key stakeholders
  • Design, implement, and evaluate A/B tests to measure feature performance, optimize player experiences, and guide data-informed decisions
  • Partner with cross-functional teams to align priorities, influence roadmap decisions, and ensure analytics is central to shaping the player experience

 

What We're Looking For

  • Intellectual curiosity, analytical rigor, adaptability, and the ability to innovate while working both independently and collaboratively
  • 2+ years of experience as a Data Analyst, ideally in analysis, research, consulting, or a scientific role
  • Strong presentation and storytelling skills, with the ability to make complex results accessible across the organization
  • Critical thinking and problem-solving capabilities with strong communication skills
  • Proficiency in SQL and data visualization tools (e.g., Looker, Tableau, Power BI, or QlikView)
  • Strong working knowledge of Excel/Google Sheets
  • Bachelor’s degree in a quantitative or scientific field (e.g., Mathematics, Statistics, Economics, Computer Science, Engineering, Physics, or related). Advanced degrees are a plus
  • A passion for mobile games and curiosity about player behavior and industry trends

 

Bonus Points

  • Experience with Python or R for data analysis
  • Familiarity with cloud-based data warehouses (e.g., BigQuery, Snowflake, Redshift)
  • Experience in the gaming, tech industry or related digital entertainment sectors is a plus

 

Key skills/competency

  • Data Analysis
  • A/B Testing
  • SQL
  • Data Visualization
  • Player Behavior
  • Business Intelligence
  • Game Performance
  • Stakeholder Management
  • Critical Thinking
  • Data Storytelling

Tags:

Senior Data Analyst
Data Analysis
A/B Testing
Player Behavior
Business Intelligence
Data Storytelling
Roadmap Influence
Game Performance
Data Transformation
Critical Thinking
Cross-functional Collaboration
SQL
Looker
Tableau
Power BI
Excel
Python
R
BigQuery
Snowflake
Redshift

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How to Get Hired at Scopely

  • Research Scopely's culture: Study their mission, values, recent news, and employee testimonials on LinkedIn and Glassdoor, focusing on their innovative approach to mobile gaming.
  • Tailor your resume for data analysis: Highlight your proficiency in SQL, data visualization tools (Looker, Tableau), A/B testing, and experience with large, complex datasets relevant to player behavior.
  • Showcase analytical storytelling: Prepare examples demonstrating how you've translated complex data into clear, actionable insights that influenced strategic business decisions in previous roles.
  • Demonstrate gaming passion: Be ready to discuss your interest in mobile games, curiosity about player behavior, and understanding of industry trends, especially within the live games sector.
  • Ace the technical interview: Practice advanced SQL queries, data modeling, A/B test design and evaluation, and be prepared to solve real-world data problems relevant to game performance.

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