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# Data Analyst, Crm - Monopoly Go

- **Company:** Scopely
- **Location:** Laza, Spain
- **Contract:** Temporary contract
- **Skills:** A/B Testing, Artificial Intelligence, Data Analysis, Big Data, BigQuery, Bioinformatics, Code Generation, Code Review, Data Infrastructure, Data Visualization, Database Queries, Push Technology, Python (Programming Language), Power BI, Tableau (Software), Usage Analysis, Information Technology, Looker Analytics
- **Published:** September 4, 2026
- **Apply:** https://www.adzuna.es/contact-us.html

## About the Role

3+ years of experience as a Data Analyst, Product Analyst, CRM Analyst, BI Analyst, or similar analytical role
Experience working directly with CRM, lifecycle, growth, live operations, or product teams
Strong SQL skills and comfort working with large datasets. Experience with BigQuery is a plus
Experience analyzing player behavior, campaign performance, segmentation, retention, engagement, monetization, or lifecycle trends
Working knowledge of experimentation methods, including A/B testing, holdouts, incrementality analysis, or campaign measurement frameworks
Experience with visualization tools such as Looker, Tableau, Power BI, or similar. Looker experience is preferred
Strong communication and presentation skills, with the ability to turn complex analysis into clear, actionable recommendations
Ability to operate independently, prioritize effectively, and ramp up quickly in a fast-paced, collaborative environment
Bachelor's degree in Business, Economics, Computer Science, Engineering, Mathematics, Statistics, or a related field, or equivalent practical experience
Nice to Have
Experience in mobile gaming, consumer apps, entertainment, e-commerce, or other high-scale digital products
Experience with Python or R for analysis, automation, or statistical modeling
Understanding of player lifecycle concepts such as onboarding, activation, engagement, retention, churn, reactivation, and payer behavior
Experience with audience segmentation, personalization, campaign targeting, or recommendation frameworks
Experience using AI frameworks or agentic coding tools such as Claude Code to accelerate analytical workflows, documentation, code generation, code review, or automation

## Description

to join us on a
fixed-term maternity cover contract
supporting the CRM team on Monopoly GO!
This role is ideal for an analyst who enjoys combining product analytics, lifecycle analytics, and player behavior insights to improve CRM campaigns, player engagement, and retention.
You will work closely with CRM stakeholders to measure campaign performance, evaluate experiments, build dashboards, identify player segments, and recommend ways to improve the impact of CRM initiatives. Your work will help the team understand not only whether campaigns performed well, but why, and what actions should be taken next.
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.
Monopoly GO! is a global phenomenon and one of the most successful mobile game launches in history, captivating millions of players worldwide.
What You'll Do
Analyze player behavior and CRM performance across campaigns, lifecycle journeys, segmentation, retention, engagement, and monetization
Measure the impact of CRM initiatives, including push notifications, in-game messages, inbox campaigns, offers, and lifecycle communications
Design and analyze experiments, holdouts, and incrementality frameworks to understand the true impact of CRM actions
Build dashboards, reports, and recurring analyses that help the CRM team make faster, better-informed decisions
Translate data into clear recommendations that improve player targeting, personalization, campaign timing, and lifecycle strategy
Partner with CRM, Product Analytics, Analytics Engineering, Data Platform, and Data Science teams to improve data quality, tracking, and decision-making
Present insights clearly to technical and non-technical stakeholders, explaining what happened, why it happened, and what should happen next, Notice to Candidates: Scopely will never request payment or financial information during the application or hiring process. Please apply only through our official
website
and verify that all Talent Partner communications come from an email address ending in @
scopely.com
.
Should you have any questions or encounter any fraudulent requests/emails/websites, please immediately contact ******. Our job applicant privacy policies are available here:
California Privacy Notice
and
EEA/UK Privacy Notice
.
Employment at Scopely is based solely on a person's merit and qualifications. Scopely does not discriminate against any employee or applicant because of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), or any other basis protected by law. We also consider qualified applicants with arrest or conviction records, consistent with applicable federal, state and local law.
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