Senior Business Analyst

To analyze the performance of advertising campaigns, develop data-driven reports, and provide actionable insights to product, sales, and marketing teams to optimize advertising efficiency and maximize revenue for the Adservice platform.

RESPONSIBILITIES

• Design, develop, and maintain analytical dashboards to monitor key advertising performance indicators (KPIs).
• Conduct performance analysis of campaign types (e.g., SearchAds, Lightning, …) and identify optimization opportunities.
• Perform deep-dive analyses to uncover patterns in product category performance, seller segmentation, purchase behavior, and conversion rates.
• Collaborate with product and technical teams to define event tracking and performance metrics in the Adservice platform.
• Propose and support A/B testing to assess the impact of changes in algorithms or user experience on advertising outcomes.
• Support the Adservice teams with advertiser performance reports and insights.
• Document analytical models and deliver periodic reports for management and stakeholders.
• Analyze ad-driven revenue, ROAS (Return on Ad Spend), and advertising-attributed sales to inform pricing, bundling, and promotional strategies.

Qualifications

Technical:

• Proficiency in SQL and data analysis tools (e.g., BigQuery, PostgreSQL)
• Strong experience with BI tools such as Looker Studio, Power BI, or Metabase
• Familiarity with Python for statistical analysis or reporting automation (a plus)
• Solid knowledge of statistics, regression, clustering, and trend analysis
• Experience with web analytics tools (e.g., Google Analytics, GTM)

General:

• Ability to communicate complex data in a clear and simple manner to non-technical stakeholders
• High attention to detail and a strong analytical and commercial mindset
• Excellent time management and task prioritization skills
• Strong teamwork and cross-functional collaboration abilities

Qualifications:

• Minimum 3 years of relevant experience in business or marketing data analysis
• Bachelor’s degree or higher in Industrial Engineering, Statistics, Computer Science, Economics, or a related field
• Previous experience in e-commerce ecosystems or advertising platforms is a plus