The Role

We're looking for a Digital Acquisition Analyst who knows their way around pixels, SDKs, and acquisition channels. You'll be a key player in our growth team, helping us bring in the right users and making sure they actually stick around after downloading our app.

You don't need to have seen it all, but you need to be curious, sharp, and ready to own your work end to end.

What You'll Do

• Run and optimize acquisition channels: Manage campaigns across Meta, Google, TikTok, and other paid channels. Track what works, cut what doesn't, and scale what does.
• Own our tracking setup: Implement and maintain pixels (Meta, Google, TikTok) and make sure our events are firing correctly across web and mobile.
• Work with SDKs & MMPs: Help configure and QA tools like Adjust or AppsFlyer to keep our attribution clean and reliable.
• Dig into the funnel:  Spot where users are dropping off and work with the team to test and fix it.
• Improve app onboarding: Analyze how new users move through our onboarding flow and find ways to increase activation rates.
• Report on what matters: Build and maintain dashboards with the metrics that actually drive decisions: CAC, ROAS, LTV, conversion rates.
• Collaborate across teams: You'll work closely with product, engineering, and creative to make things happen.

What We're Looking For

Must-Have

• 2–4 years of experience in digital acquisition, performance marketing, or growth.
• Solid understanding of tracking pixels and event-based attribution (Meta, Google, TikTok).
• Hands-on experience with at least one MMP (Adjust, AppsFlyer, Branch, or similar).
• Experience analyzing and improving conversion funnels.
• Comfortable working with data SQL is a plus, but strong Excel/Sheets skills work too.
• Some experience with app onboarding flows or mobile growth.
• English proficiency: upper-intermediate to advanced (B2–C1). You'll read docs, write reports, and communicate with partners in English.

Nice-to-Have

• Experience in high-performance industries like fintech, e-commerce, gaming, or on-demand.
• Familiarity with Firebase or a BI tool (Looker, Tableau, etc.).
• You've worked in a startup or scale-up before, you know what "wearing multiple hats" actually means.

About the Role

On Trivelta, we build the technology that powers modern, social-first gaming experiences. Through our proprietary sportsbook and casino engine, we enable partners to launch fully branded, legally compliant gaming products combining real social interactions, predictive gameplay, and casino entertainment in one unified experience.

Headquartered in Boston with operations in Monterrey, Barcelona, and Atlanta, we’re scaling rapidly and building a global team passionate about redefining how people play, socialize, and connect.

We’re seeking a hands-on Data Analyst to join our team in Monterrey, MX. In this role, you’ll work closely with business stakeholders to turn complex data into clear, actionable insights. You’ll leverage strong SQL skills to build analyses, dashboards, and reports that support data-driven decision-making across the organization. This is an excellent opportunity for an analytical, collaborative professional looking to make a direct impact in a fast-growing, international environment.

What You’ll Do

• Write complex, efficient SQL queries to analyze data from multiple sources.
• Build reusable datasets, views, and queries for reporting and self-service analytics.
• Partner with stakeholders to define metrics, gather requirements, and translate business questions into analytical solutions.
• Design and maintain dashboards and reports using modern BI tools (Power BI, Tableau, Looker, QuickSight, or similar).
• Validate data quality, investigate anomalies, and ensure consistent KPI definitions.
• Support ML and advanced analytics projects by preparing datasets and interpreting results.
• Work with cloud-based data platforms, preferably AWS (S3, Athena, Redshift, RDS, Glue).
• Apply basic graph or network analysis concepts when working with relationship-based data.
  
  

What You Bring

Must-have

• Bachelor’s degree in a technical or quantitative field.
• 2–5+ years of experience in a data analyst, BI analyst, or similar role.
• Strong hands-on SQL skills (joins, subqueries, window functions).
• Experience working directly with business stakeholders.
• Experience building dashboards in at least one modern BI tool.
• Advanced English and strong communication skills.

Nice-to-have

• Exposure to machine learning or advanced analytics projects.
• Experience with AWS or another cloud data platform.
• Familiarity with Python or R for data analysis.
• Experience with graph or network analysis.