Senior Data Analyst

TL;DR

Senior Data Analyst (Advertising Analytics): Transforming mobile location data, audience metrics, and live sports campaign delivery into actionable narratives that drive revenue and client growth with an accent on campaign performance, audience segmentation, and inventory measurement. Focus on building high-impact dashboards, automating workflows with GenAI tools, and integrating third-party data sources like Nielsen and iSpot.

100% Remote: Work from the location that helps you thrive with a laptop and reliable internet.

Company

Leading nearshore staff augmentation provider headquartered in New York with 600+ tech professionals in Latin America partnering with U.S. companies including a multi-channel digital entertainment network for travel media and live sports broadcasting.

What you will do

• Build and maintain dashboards and visualizations for advertising campaign performance, audience delivery, and inventory measurement.
• Provide in-flight pacing insights, optimization strategies, and post-campaign reports.
• Analyze datasets on audience composition, reach, frequency, geography, and venue performance.
• Integrate internal data with third-party sources like Nielsen, NMI, MRI-Simmons, and iSpot.
• Translate technical data into client-ready value propositions for executives and sales.
• Automate workflows and utilize GenAI for insight generation and reporting.
• Partner with Engineering, Product, and Ad Operations on data anomalies and architecture improvements.
• Conduct ad hoc analysis for inventory opportunities and client growth.

Requirements

• 5+ years in Data Analysis, Advertising Analytics, or similar quantitative role focused on marketing measurement.
• Advanced SQL including complex joins, window functions, and performance querying on large datasets.
• Experience with advertising campaign analysis, media planning, attribution, and audience segmentation.
• Hands-on with cloud data environments like AWS, Redshift, Snowflake, or BigQuery.
• Proficiency in Python or R for automation, statistical analysis, and reporting.
• Expertise in BI tools such as Tableau, Power BI, Looker, or Adobe Analytics.
• Ability to turn complex data into business narratives driving renewals and upsells.

Nice to have

• Demonstrated interest in AI-enabled tools for productivity.
• Foundation in statistics, data modeling, and quality control.
• Familiarity with Unix commands, regular expressions, and structured data workflows.
• Investigative mindset for root cause analysis in complex scenarios.

Culture & Benefits

• 100% remote work with autonomy focused on results.
• Highly competitive USD pay.
• Paid time off for well-being and recharge.
• Work with top U.S. companies on high-impact projects.
• Diverse global network of 600+ professionals across 25+ countries.
• Culture prioritizing work-life balance, engagement activities, and collaboration with senior talent.