At VisionX, we are reshaping the convergence of AI and computer vision. Since our inception in 2017, we have enabled B2B enterprises to improve process efficiencies, drive revenue growth, and create a competitive advantage. We accomplish this by crafting outstanding bespoke product experiences for our clients, their customers, and the field workforce through advanced AI and emerging technologies.

Fast Company recognized us as one of the Top 10 Most Innovative Companies of 2020, alongside Microsoft and Snap Inc. We are trendsetters who innovate, build, and scale as your partner, providing technology that works with speed and agility, all while ensuring a competitive edge in affordability.

In addition to our AI solutions, VisionX serves as a GCC systems integrator for the most advanced AI-powered enterprise logistics platform tailored for warehouses, retail stores, and final-mile buildings.

We’re looking for an experienced ecommerce analytics professional who has helped build and scale data-driven growth engines in digital-first environments. In this role, you’ll help set up and run a Marketing & Ecommerce Analytics POD an intelligence function that unifies data, improves reporting, and supports faster decision-making.

Your focus will be on transforming disconnected data into actionable insights, reducing manual reporting, and enabling revenue-focused analytics across teams.

- Support the development of an ecommerce analytics strategy tied to revenue, conversion, and ROI goals.

- Translate commercial objectives into clear reporting and measurement plans.

-Build performance narratives that connect marketing activity and site behavior to business impact.

- Participate in business reviews with marketing, product, and finance teams using data-based insights.

- Contribute to designing and running a cross-functional POD that includes tagging, data engineering, analytics, and reporting.

- Help maintain frameworks for roadmaps, backlog tracking, and stakeholder collaboration.

- Standardize KPI definitions and reporting cadences across channels (search, ads, UX, CRM, site).

- Support automation initiatives to cut reporting and analysis time.

- Work with tools like GA4, GTM, BigQuery/Snowflake, Looker Studio, and ads platforms to build reliable data flows.

- Contribute to tagging, attribution setup, and accuracy improvements across core events.

- Assist in building data pipelines across ecommerce platforms (Shopify/Magento), Ads, GSC, CRM, and search tools.

- Help maintain data quality and scalability across systems.

- Prepare regular reports on revenue trends, traffic performance, and marketing efficiency.

- Provide insights that inform UX, pricing, and merchandising decisions.

- Support predictive analytics efforts for forecasting, cohorts, and retention behavior.

- Enable faster decisions by making insights accessible across teams.

- 5–10 years of experience in ecommerce analytics, digital marketing analytics, or growth operations.

- Hands-on experience contributing to or supporting analytics frameworks and attribution setups.

- Strong working knowledge of GA4, GTM, BigQuery/Snowflake, Looker Studio, and ecommerce platforms (Magento, Shopify, BigCommerce).

- Able to translate data into practical insights for non-technical teams.

- Comfortable working cross-functionally with engineering, marketing, UX, and product teams.

Our global network of industry experts and mentors helps shape your growth and future. We believe in delivering client value through our work. We build products that are not good or great, but outstanding.

You deliver! We will make your stay and journey with us worthwhile.