Scopely develops and publishes mobile games played by global audiences. Its studios use live operations, product development, and data to sustain and improve long-running game experiences.
Data Analyst - Marvel Strike Force
Scopely is hiring a Data Analyst - Marvel Strike Force to work on business and product analysis, trustworthy reporting, and decision support. The position is fully remote for candidates in the United States.
- Salary
- USD 91,300+/year
- Commitment
- Full-time
- Remote region
- Remote · United States
- Engagement
- Full-time employee
- Duration
- Permanent
About this role
Scopely develops and publishes mobile games played by global audiences. Its studios use live operations, product development, and data to sustain and improve long-running game experiences. In this Data Analyst - Marvel Strike Force role, the work is centered on business and product analysis, trustworthy reporting, and decision support, with scope defined by the team and product area described on the employer's current application page.
The source posting names Python, SQL, Snowflake, Looker, Experimentation, and Analytics among the relevant tools or practices and describes cross-functional delivery. It is listed as a full-time employee position and is open remotely to candidates in the United States; candidates should confirm the employer's complete eligibility details on the application page.
Role requirements and focus
What you’ll work on
- Turn ambiguous business or product questions into dependable analysis, metrics, and recommendations.
- Improve reporting quality and make important data easier for partners to understand and use.
What they’re looking for
- At least 2 years of relevant experience, as stated in the employer's posting.
- Working knowledge of Python, SQL, Snowflake, Looker, Experimentation, and Analytics, based on the tools or practices named in the source posting.
- Ability to work remotely from the United States and collaborate effectively with a distributed team.
Skills and focus
- Data analysis & BI
- Full-time employee
- Python
- SQL
- Snowflake
- Looker
- Experimentation
- Analytics
Useful context
Specialty
Data analysis & BI
Work type
Full-time employee
Source
Scopely / Greenhouse
Last verified
Jul 29
Verification context
The role appeared in the employer's current public ATS feed and its direct application page was reachable during this curation pass.
Role terms can change after verification. The employer application page remains the final authority.