Senior Data Analyst - Travel Entertainment

Jobgether Greater São Paulo Area
Remote
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AI Summary

Transform large-scale audience and campaign datasets into actionable insights to guide revenue decisions and advertising strategy. Analyze complex datasets and deliver performance reports. Partner with cross-functional teams to optimize campaigns and improve data architecture.

Key Highlights
Transform large-scale audience and campaign datasets
Analyze complex datasets and deliver performance reports
Partner with cross-functional teams
Key Responsibilities
Build, maintain, and enhance dashboards and visualizations
Analyze complex datasets including audience behavior
Deliver in-flight pacing insights and post-campaign performance reports
Technical Skills Required
Advanced SQL Cloud data platforms (AWS, Redshift, Snowflake, or BigQuery) Python or R for data automation BI tools (Tableau, Power BI, Looker, or Adobe Analytics) Unix-based systems, regex, and structured data workflows
Benefits & Perks
100% remote work flexibility
Competitive USD-based compensation package
Paid time off to support rest and work-life balance
Nice to Have
Experience or strong interest in AI-enabled analytics tools

Job Description


This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Senior Data Analyst - Travel Entertainment in Brazil.

This role sits at the intersection of data analytics, advertising intelligence, and digital media performance within a high-visibility entertainment ecosystem. You will transform large-scale audience, mobility, and campaign datasets into clear, actionable insights that guide revenue decisions and advertising strategy. Working in a fast-paced, data-rich environment, you will support stakeholders across sales, product, and ad operations with performance narratives that influence major brand partnerships. The position requires a strong analytical mindset combined with storytelling ability to translate complex datasets into executive-ready insights. You will also play a key role in improving automation, leveraging modern AI tools to enhance reporting efficiency and analytical depth. This is a highly collaborative role with direct impact on campaign optimization, media planning, and business growth.

Accountabilities

  • Build, maintain, and enhance dashboards and visualizations to monitor advertising performance, audience delivery, and inventory measurement.
  • Analyze complex datasets including audience behavior, reach and frequency, geographic performance, and venue-level engagement.
  • Deliver in-flight pacing insights, post-campaign performance reports, and optimization recommendations for ongoing campaigns.
  • Integrate and reconcile internal data with third-party measurement platforms such as Nielsen, MRI-Simmons, NMI, and iSpot.
  • Automate recurring reporting workflows and improve scalability and data quality across analytics processes.
  • Partner with Engineering, Product, and Ad Operations teams to troubleshoot data issues and improve data architecture.
  • Conduct ad hoc analyses to identify revenue opportunities, pricing insights, and long-term client growth potential.
  • Translate complex analytical outputs into clear, client-facing narratives for commercial and executive stakeholders.
  • Leverage GenAI tools to accelerate insights generation, reporting, and documentation processes.

Requirements

  • 5+ years of experience in data analysis, advertising analytics, or marketing measurement roles.
  • Advanced SQL skills, including complex joins, window functions, and performance optimization on large datasets.
  • Strong experience in advertising campaign analysis, audience segmentation, attribution, and media performance measurement.
  • Proficiency with cloud data platforms such as AWS, Redshift, Snowflake, or BigQuery.
  • Experience with Python or R for data automation, statistical analysis, and scalable reporting workflows.
  • Hands-on experience with BI tools such as Tableau, Power BI, Looker, or Adobe Analytics.
  • Strong understanding of statistics, data modeling, and data quality control methodologies.
  • Ability to communicate complex insights clearly to both technical and non-technical audiences.
  • Familiarity with Unix-based systems, regex, and structured data workflows.
  • Strong investigative and problem-solving mindset with attention to detail and data accuracy.
  • Experience or strong interest in AI-enabled analytics tools is highly valued.

Benefits

  • 100% remote work flexibility.
  • Competitive USD-based compensation package.
  • Paid time off to support rest and work-life balance.
  • Autonomy in managing your schedule and delivering results.
  • Opportunity to work with leading U.S.-based companies in the digital media and advertising space.
  • Exposure to large-scale, high-impact data environments and global entertainment networks.
  • Collaborative, multicultural team of experienced professionals across multiple countries.

How Jobgether Works

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Why Apply Through Jobgether?

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.


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