We are looking for a sharp and driven Data Solutions Analyst to join a newly formed team and help build the analytical foundations behind some of our strategic growth initiatives from the ground up. This is a unique opportunity to influence how new businesses operate and scale across Amazon, D2C, Paid Media, and emerging growth channels. You will have ownership over both the measurement frameworks and the solutions that drive business growth.
Working at the intersection of Data, Marketing, Product, and Business, you will identify opportunities, define success metrics, uncover insights, and build the solutions needed to turn those insights into action. This role combines analytical ownership with hands-on solution development, leveraging data, automation, AI, and modern tooling to solve business challenges end-to-end. Success in this role is measured not only by the quality of your analysis, but by your ability to translate business challenges into scalable solutions that drive measurable impact.
Roles and Responsibilities:
Build analytical infrastructure, measurement frameworks, and decision-support capabilities from the ground up for new and rapidly growing business units.
Evaluate performance across Amazon, D2C, Paid Search, Paid Social, and emerging channels, identifying growth opportunities, business risks, and areas for optimization.
Translate business challenges into scalable solutions by combining AI powered automation, agents, workflows, and building tools that drive business impact.
Design, build, and maintain dashboards, monitoring systems, analytical products, and self-service tools that enable teams to make faster and better decisions.
Own the Semantic Layer: Maintain and scale our unified BigQuery Semantic Layer, ensuring a single source of truth for business and analytics metrics.
Partner closely with Marketing, Product, and Business stakeholders to understand business needs and drive end to end solutions from idea to implementation.
Requirements: BSc/BA in a quantitative field such as Economics, Statistics, Industrial Engineering, or a related discipline.
3+ years of experience in Data Analytics, Marketing Analytics, Product Analytics, or a similar analytical role.
Proven SQL skills (BigQuery preferred) and hands-on experience with BI platforms such as Looker or Tableau.
Proven experience using AI tools, automation platforms, or AI-assisted development tools (e.g., Claude, Cursor, GitHub Copilot) to design and implement workflow automations.
Experience working with eCommerce businesses, performance marketing, Amazon, or marketplace environments - major advantage.
Highly curious, proactive, and business-oriented, with a strong sense of ownership and the ability to independently identify opportunities and drive initiatives forward.
Fluent English and experience working with global teams.
This position is open to all candidates.