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# Lead Analytics Engineer, Finance

- **Company:** Scopely
- **Location:** Barcelona, Spain
- **Contract:** Franchise
- **Skills:** Microsoft Excel, Amazon Web Services, Data Analysis, Microsoft Azure, BigQuery, Bioinformatics, Cloud Database, Data Systems, Python (Programming Language), SQL Databases, Web Analytics, Sql Optimization, Snowflake, Information Technology, Data Management, Amazon Redshift, Programming Languages
- **Published:** September 4, 2026
- **Apply:** https://www.adzuna.es/contact-us.html

## About the Role

Bachelor's degree in Analytics, Statistics, Finance, Accounting, Economics, Computer Science, or another relevant quantitative field.
6+ years of experience in analytics, finance data, business operations, or related roles with ownership of business-critical workflows.
Advanced SQL skills and proficiency in Python or another programming language used for data analysis, automation, and workflow support.
Strong Excel / Google Sheets skills.
Experience with cloud data warehouses and data platforms such as BigQuery, Snowflake, Redshift, AWS, Azure, or GCP-based workflows.
Experience supporting finance, accounting, revenue reporting, monthly close, or audit-related data work.
Strong understanding of reconciliation, controls, data quality, and process documentation.
Ability to work cross-functionally and communicate clearly with both technical and non-technical stakeholders.
Strong written and verbal communication skills, especially when explaining technical findings, risks, and tradeoffs to Finance partners.
Bonus Points
Experience in gaming, digital products, or revenue accounting.
Experience building workflow automation, reusable analytical tooling, or documented runbooks.
Experience supporting audit requests, finance systems controls, or operational process design.
Experience mentoring analysts or informally leading cross-functional workstreams

## Description

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.
Show us the money! As the Finance team, we're number crunchers with top-notch analytical and reporting skills. As a shared service, we get to work with all of Scopely's talented studios.
What You Will Do
As a Lead Analytics Engineer, Finance, you will own and improve core finance analytics workflows that support monthly close, revenue reporting, audit support, and accounting analysis. You will partner closely with Accounting, Revenue, Game Analytics, Platform Analytics, and Engineering to build scalable data processes, investigate issues, and translate finance questions into durable data solutions.
Lead recurring finance analytics workflows that support monthly close, revenue reporting, and accounting analysis.
Own and review critical digital revenue reporting outputs and investigate issues related to data accuracy, completeness, and timing.
Build, maintain, and improve SQL logic, validation checks, reporting workflows, and related finance data processes.
Partner with Revenue Accounting, Game Analytics, and Platform Analytics teams to support item-based revenue recognition analyses, including consumable and durable logic, bundle allocations, paid versus earned currency treatment, virtual currency holding periods, and related user-behavior analyses.
Monitor and maintain financial data pipelines, troubleshoot exceptions, and drive resolution when data is missing, delayed, or inconsistent.
Design scalable controls, reconciliations, and documentation so recurring workflows are deterministic, auditable, and easier to hand off.
Support quarterly and ad hoc finance analyses on purchases, player activity, and revenue trends that inform accounting conclusions and business decisions.
Partner with Finance stakeholders to translate business questions into repeatable systems and durable reporting solutions instead of one-time analyses.
Support audit requests by preparing evidence, explaining data logic, and coordinating with auditors and internal partners on finance systems and controls.
Identify opportunities to automate manual finance processes and improve the scalability of the team's reporting and operating model.
Help define best practices for finance data tooling, runbooks, and documentation., 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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