לוח משרות דרושים מהנדס תעשייה וניהול בתל אביב יפו, לחיפוש זה נמצאו 65 משרות

Our Business Analytics team is looking for a passionate and analytical team player to join us.
In this role, you'll take ownership of the deep analysis behind our brands' performance, turning complex data into actionable business insights. You'll analyze customer funnels, monitor key KPIs, evaluate experiments, and partner closely with cross-functional teams to drive data-informed decision-making.
As part of our AI-first approach, you'll also help shape how analytics is performed across the organization by leveraging AI tools, improving analytical processes, and raising the overall standard of our analytics function.
This is an excellent opportunity for a strong individual contributor who is looking to make a significant business impact without a managerial track.
Responsibilities:
Explore and analyze large-scale data across our sources (internal DWH / Databricks lakehouse, Google BigQuery, GA4, and more) to understand and improve brand and business performance.
Own the deep analysis of each brands funnel and KPIs - explain what drives conversion, AOV/AIV, revenue per visitor and retention/LTV, and pinpoint where the funnel leaks and why.
Run the analysis behind A/B and pricing experiments end to end, and deliver a clear ship / iterate / kill recommendation.
Lead an AI-first approach to analytics - use AI and agents to analyze faster and deeper, and to build self-serve insight for non-analysts.
Shape how the analytics function works - champion high-quality data practices, set standards through best practices, drive standardization and scale, and mentor and guide other analysts.
Generate actionable insights through queries and data-visualization tools (Tableau), and turn them into recommendations that drive business decisions.
Initiate new projects and ideas that anticipate the companys needs.

Were looking for a Data & Analytics Team Lead to manage and grow our data team and own the data layer behind our AI. Youll lead a team of data analysts responsible for neural-network model analysis, model performance tracking, customer-facing and internal BI. Youll act as both the people manager and the technical lead for the team, setting technical direction while staying hands-on.
Youll thrive in this role if youre passionate about turning data into better AI products, enjoy solving complex analytical problems, and like working at the intersection of Data, Analytics, and Artificial Intelligence.
Responsibilities:
Lead the data strategy supporting AI model development, evaluation, and continuous improvement
Define KPIs and monitoring frameworks for AI model performance.
Analyze NN model outputs, build and maintain model-tracking and performance-evaluation workflows
Drive close calibration with the Algo, Product, and Data Engineering teams to align data definitions, pipelines, and metrics
Stay hands-on with SQL, Python, BI tooling, and the modern data stack
Build and own agentic data workflows - designing the context, tooling, and data access that let AI agents reliably query, analyze, and act on company data

As Operations Associate you will be responsible for the correct onboarding, monitoring and day-to-day operation of a subset of our partners. They are essential to our profitability.

You will partner with the CSM, Product and Data teams to ensure nothing falls between the cracks.

The main tasks expected are:
Timely onboard any new customer to the external providers you are responsible of.
Monitor performance and raise issues to the product team for those to be fixed.
Identify improvement paths to the exchange of new data and propose solutions.
Automate as much of the work as possible so you can focus on higher value added tasks.

What you'll do:
Track, measure, automate and debug revenue generation processes around dispute representment and technical related integrations.
Oversee our partnerships with revenue generation partner companies.
Track margins and collections for all customers and work with the CS team to enforce needed actions.
Partner with Product to automate repetitive CS tasks and build quicker processes to ensure smooth collaboration between us and our customers, as well as internally.