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Junior Data Analyst
Not specifiedFull-timeBusiness IntelligencePrivate EquityDigital Media
Analyze reporting and monetization performance across digital properties. Build reporting and automation workflows, use AI to improve analysis, and communicate findings to internal teams and external partners.
Responsibilities
- Own daily revenue and advertising performance reporting, ensuring data accuracy across sources.
- Monitor performance across digital properties, demand partners, and monetization channels by geography, device, and ad format.
- Analyze trends, anomalies, revenue opportunities, and performance gaps; investigate root causes and raise issues proactively.
- Turn analysis into clear recommendations and communicate findings to internal stakeholders and external partners.
- Build and maintain reports, dashboards, and data processes, improving them over time.
- Automate manual reporting and operational tasks using AI tools, scripts, APIs, and automation platforms.
- Develop and improve AI-based workflows for analysis, forecasting, and monitoring.
- Work with the cloud data environment to improve data collection, structure, and access.
Requirements
- At least 1 year of experience as a data, revenue, or monetization analyst, with a background in digital media, AdTech, programmatic advertising, or publishing.
- Familiarity with programmatic advertising, including ad servers, Prebid or header bidding, SSPs, DSPs, ad networks, and monetization metrics.
- Advanced Google Sheets or Excel skills and working knowledge of SQL.
- Daily practical use of AI tools such as Claude or ChatGPT, and at least one automation or AI workflow that can be demonstrated.
- Strong analytical skills, attention to detail, and the ability to validate data and explain findings and recommended actions.
- Clear, concise written English and confidence reporting to internal teams and external partners.
Nice to have
- Experience with Google Ad Manager, Prebid analytics, or SSP reporting interfaces.
- Experience with Make, Zapier, n8n, APIs, or Python.
- Experience building AI agents, skills, or LLM-based tools.
- Experience with BI or data visualization tools.