Time since we first saw it
Day 168
Up longer than most. Similar jobs usually come down between day 6 and day 47.
From 1,409 similar postings that came down. Coming down is not always a hire.
Analytics Engineer
ES - Barcelona, Spain
Open 5 months, first seen by us 168 days ago- Pay
- Pay not listed
- Work setting
- Not stated
- Employment
- Not stated
What you’ll work on
Full postingDesign tracking plans, data models and ELT pipelines
Build self-serve Looker explores and dashboards for game teams
From the employer’s posting
designing new tracking plans, developing data models, ELT pipelines
self-serve insight products like Looker explores and dashboards
About Scopely
Across mobile, web, PC, and console, Scopely creates, develops, publishes, and live-operates one of the most diversified and award-winning portfolios in the games industry — bringing hundreds of millions of players together through a shared love of play.
In the employer’s words · Read in context
Posting record
Report an errorOpen 5 monthsWe first saw this posting 168 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.
- Status in our records
- Live
- First seen by us
- May 19, 2026168 days ago
- Recorded sightings
- 88
- Last seen by us
- Nov 4, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Scopely is hiring
9 open jobs
Open jobs by the week we first saw them, last 12 weeks.
- Hiring at a steady pace
- Takes jobs down at a usual pace
See how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- SQL
- BigQuery
- dbt
- Looker
- Snowflake
- Airflow
Where the posting names them
- experience with modern data stack tools such as BigQuery, Snowflake, dbt, Looker, Airflow, GitHub, and command-line workflows, or a willingness to learn them - strong SQL skills and at least three years of experience in analytics engineering, data analytics, or a related field; equivalent practical experience is welcome - ability to translate business needs into effective analytics solutions
- own data quality and ensure metrics are defined and reported consistently across all data products - use cutting-edge data technologies, including BigQuery, dbt, and Looker, to develop scalable analytics solutions - apply historical and predictive analytics tools, including BQML, to identify trends and forecast player behavior
What We’re Looking For - experience with modern data stack tools such as BigQuery, Snowflake, dbt, Looker, Airflow, GitHub, and command-line workflows, or a willingness to learn them - strong SQL skills and at least three years of experience in analytics engineering, data analytics, or a related field; equivalent practical experience is welcome
- collaborate with engineers, product teams, and analysts to create self-serve insight products that are fast, accurate, and elastic at a petabyte-scale - work across the full data product lifecycle: designing new tracking plans, developing data models, ELT pipelines, and self-serve insight products like Looker explores and dashboards - own data quality and ensure metrics are defined and reported consistently across all data products
Your next step
Complete your application on job-boards.greenhouse.io. The employer’s form will show what is required.
Applying through Greenhouse
- No account needed: the form is one page, with an “Autofill my application” option that reads your resume.
- Greenhouse doesn’t read resumes over 2.5 MB, or details placed in a header, footer, text box, table or second column. The file still attaches, but a recruiter has to type you in by hand.
Already applied? Track this application
Has Scopely posted this job before?
Yes. We’ve followed 2 other Analytics Engineer jobs there since April 2026. One came down after 2 days. One is still up.
About the role
We file this job under Analytics Engineer, by the work the posting describes.
Analytics engineers turn raw warehouse data into clean, tested and documented tables that analysts and dashboards can rely on, often with dbt.
Expect strong SQL, data modeling, Git, and a warehouse such as Snowflake, BigQuery or Redshift.
A data engineer gets data into the warehouse; an analytics engineer shapes it once it is there and works closer to the analysts who use it.
US government figures for database architects
- Median yearly pay, May 2025
- $139,500
- Expected change, 2025 to 2035
- 9.4% more jobsagainst 3.5% for all jobs
The government has no code for analytics engineers, so these figures are for the closest group, database architects, the same group we use for data engineers.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.
Job description
Scopely is seeking an Analytics Engineer to join our Marketing Analytics team in Barcelona, Spain, on a hybrid basis.
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 worldwide daily.
Scopely is building the best SaaS gaming platform ever! The Marketing data team strives to create the world’s best products for UA, Ads, ASO, and Player Experience verticals. Powering many award-winning, loved-by-millions franchise games over mobile, web, and PC.
What You’ll Do
- collaborate with engineers, product teams, and analysts to create self-serve insight products that are fast, accurate, and elastic at a petabyte-scale
- work across the full data product lifecycle: designing new tracking plans, developing data models, ELT pipelines, and self-serve insight products like Looker explores and dashboards
- own data quality and ensure metrics are defined and reported consistently across all data products
- use cutting-edge data technologies, including BigQuery, dbt, and Looker, to develop scalable analytics solutions
- apply historical and predictive analytics tools, including BQML, to identify trends and forecast player behavior
- partner with game product teams and cross-functional stakeholders to understand their needs, improve workflows, and inform product decisions
- contribute across the data stack and full data-product lifecycle while developing expertise in specific areas
What We’re Looking For
- experience with modern data stack tools such as BigQuery, Snowflake, dbt, Looker, Airflow, GitHub, and command-line workflows, or a willingness to learn them
- strong SQL skills and at least three years of experience in analytics engineering, data analytics, or a related field; equivalent practical experience is welcome
- ability to translate business needs into effective analytics solutions
- understanding of data modeling concepts, including star schemas and structured datasets
- ability to balance business context, continuous improvement, and technical quality when designing solutions
- collaborative approach and ability to build positive working relationships across teams
- clear communication skills, including confidence in asking questions and sharing ideas
- ability to adapt to changing priorities while maintaining focus on quality and outcomes
- interest in learning and developing skills across the data workflow and technology stack
- Interest or hands-on experience with AI-assisted tools, such as LLMs, agents, or workflow automation, to improve analytics workflows and team productivity is a plus, not a requirement
- interest in video/mobile games or experience in the games industry is welcome
At Scopely, we create games for everyone - and want to ensure that the people behind our games reflect that! We are committed to creating a diverse, supportive work environment where everyone is treated with respect. We are committed to providing equal employment opportunities and welcome individuals from all backgrounds to join us & embrace the adventure!
About Scopely
Scopely is a leading video game and global interactive entertainment company, home to many of the world’s most beloved and enduring experiences, including two of the most successful mobile games of all-time “MONOPOLY GO!” and “Pokémon GO,” along with “Stumble Guys,” “Star Trek™ Fleet Command,” “MARVEL Strike Force,” “WWE Champions,” the Scrabble® franchise, “Yahtzee® With Buddies,” and many others. Across mobile, web, PC, and console, Scopely creates, develops, publishes, and live-operates one of the most diversified and award-winning portfolios in the games industry — bringing hundreds of millions of players together through a shared love of play.
Founded in 2011, Scopely is powered by its exceptional team — including thousands of world-class gamemakers around the globe, a distinctive tenet-driven culture, and its proprietary technology platform, Playgami. Together, these strengths have fueled Scopely’s position as the #1 mobile games company in the U.S. and #2 globally, generating more than $10 billion in lifetime revenue. Whether building global sensations like “MONOPOLY GO!” from the ground up, or expanding through strategic acquisitions, including the FoxNext, GSN, and Scopely Explore games businesses — Scopely consistently delivers experiences players love today and return to for years to come.
Recognized multiple times as one of the "100 Most Influential Companies in the World" by TIME magazine and one of Fast Company's "World's Most Innovative Companies" and “Best Workplaces for Innovators,” Scopely believes that video games can be a force for good — creating meaningful connections, vibrant communities, and making life better through play.
Scopely has global operations and partners across four continents in more than a dozen countries worldwide. For more information, visit: https://www.scopely.com/.
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 recruiting@scopely.com. 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.
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
No pay amount identified in the saved description.
- Location & working pattern
ES - Barcelona, Spain
Scopely is seeking an Analytics Engineer to join our Marketing Analytics team in Barcelona, Spain, on a hybrid basis. 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 worldwide daily.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.