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We are looking for a highly skilled Data Engineer to join our growing Data Analytics Department.
As a Data Engineer in a multi cloud company, you will build data-driven solutions for our customers using cutting-edge data tools and large-scale data on AWS\GCP\Azure.
Job Responsibilities:
Lead data solutions design and development for our various clients and projects.
Design the solution by understanding the needs, modeling the data, choosing the right tools and defining the interfaces/dashboards.
Develop Data Pipelines, Data Lakes, DWHs, AI\ML models, Dashboards and reports using advanced tools and leading technologies.

Module row data into data warehouse tables according to data modeling roles and practices.
Design data models and lead result driven analytics process based on Checkout strategy needs: such as customer risk scoring model, customers profiling and segmentation models, etc.
Work with stakeholders in the company, such as GTM, Strategy., Risk, Operations, Product, Tech for their data needs collection and prioritization.
Work with central data team and with Checkout data foundation team to define the Checkout data roadmap and deliverable. Create a process to track progress and timeline, while providing visibility to the different stakeholders.
Design analytical solutions for a wide range of Checkout org needs.
Expand data capabilities to support business decisions by providing accurate and user-friendly data models, insight, reports, and dashboards.
Built a process to support new initiatives go/ no go decision process.
Built an infrastructure to support market research and competitor analysis for benchmarking needs.
Be a hands-on manager while also being a strategic leader and bringing value to the Checkout organization.
Create internal documentation and glossaries of Checkout data structure and measurements.
Promote data driven business thinking and create self-service tools to support employees and managers across the organization.

Lead and mentor a team of data analysts, providing guidance, support, and professional development.
Collaborate with stakeholders across Operations, Product, Tech, and Program Managers to define data strategies and ensure alignment with business goals.
Design and implement scalable data models, dashboards, and reports that provide actionable insights.
Drive data-driven decision-making by analyzing trends, identifying opportunities, and proactively addressing challenges.
Establish and track key operational KPIs, ensuring data integrity and accuracy.
Manage multiple projects, prioritize tasks effectively, and ensure timely delivery of insights to support business objectives.
Advocate for best practices in data analysis, visualization, and data storytelling across the department.
Continuously improve processes, tools, and methodologies to optimize efficiency and impact.

Were looking for an experienced Data Engineer to join our amazing Data department and to help us to take our data platform and data usage to the next level. Our technology stack is based on Googles Cloud Platform and its different components.

What youll be spending your time on: 

Develop end-to-end data models: from gathering data sources to creating ETL processes that enable smarter, data-driven decisions.
Build automated validation processes to ensure data integrity, system stability, and data observability.
Optimize process run-times and provide scalable solutions to complex problems.
Take full ownership of designing, building, deploying, and maintaining data products.

We are looking for an experienced Senior Data Analyst to join the Financial Planning & Analysis department as a foundational member of our in-house Data Analytics team. This critical role will specifically partner with our Revenue team, working with them to track and analyze the drivers of our variable profitability, ranging across: customer behavior trends, pricing strategy, product profitability, and more. To succeed in this role, you should be very comfortable coding in Big Query, visualizing with PowerBI, and most unique to this data analyst position enjoy applying these skills to finance-specific analyses.



What youll be spending your time on:

Lead end-to-end development of new BI solutions to enhance the Revenue teams reporting and analytical capabilities (e.g., writing complex, efficient Big Query SQL queries that feed Power BI dashboards).
Partner with business stakeholders to understand and address their reporting and analytical needs.
Help define and design new key metrics and segmentations to improve how we track the business.
Work closely with the Data department to identify and support implementation of data-related improvements across the organization.

We are looking for An experienced Senior Finance Data Analystto join our Financial Planning & Analysis team as the local FP&A system platform support and knowledge center. This critical role will partner closely with our global FP&A team, providing new tools, dashboards, and ad hoc analysis based on our FP&A system. Additionally, you will build BI reports that support the team and management. You will also play a key role in the implementation of a new FP&A system. To succeed in this role, you should be highly proficient with financial planning systems, skilled in visualizing data with PowerBI, and capable of creating new tools and data to support decision-making.

What you'll be spending your time on:

Developing and maintaining the FP&A planning platform.
Leading end-to-end development of new BI solutions to enhance the FP&A teams reporting and analytical capabilities.
Partnering with FP&A members to understand and address their reporting and analytical needs.
Participating in the implementation of a new FP&A system.

Were looking for a Senior Technical Data Product with strong analytical thinking and a passion for data, with expertise in various data technologies and solutions to join our data group and help drive the companys core objectives.
As a Senior Technical Data Product, you will serve as the bridge between the data platforms (Data Lake, DWH) and their stakeholders - such as Risk & Compliance, Business, Product - by providing data models and solutions to support the decision-making process and Reporting.

If you enjoy working in a high-paced environment, leading data solutions, intrigued by data challenges, with intention to make an impact on the companys growth, then this is the right place for you.


What youll be spending your time on: 

Leading end-to-end data projects to create analytical & data tools and solutions that empower the company.
Conduct data gathering, research, and analysis to generate insights and create solutions that address user needs.
Specifies API endpoints for data access, including authentication and rate limiting.
Describes third-party service and system integrations.
Designs and leads scalable, long-term technical solutions.
Focuses on creating adaptable and high-performance architectures.
Translate business & technical needs collaborate regularly with various stakeholders and translate business needs to technical data solutions and KPI definition by writing STT to be developed by data engineers.
Design, deliver, and maintain technical solutions that align with customer needs, including defining the appropriate architecture and technology stack.
Keep it running, implement and train users with the BI products and manage their inputs for ongoing analysis.