דרושים » מערכות מידע » Information Systems Analyst

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.

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 seeking an accomplished Senior Product Analyst to be a strategic analytics partner to product teams throughout the entire product lifecycle. In this role, you will spearhead data-driven discovery, experimentation, optimization, and go-to-market enablement for new products and features. As the analytics expert, you will provide strategic guidance across departments, leveraging your extensive business analysis background. The Senior Product Analyst will be instrumental in decoding product performance and user behavior, identifying opportunities, and driving continuous improvement. If you have a strong product analytics foundation along with excellent storytelling abilities to influence product decisions, this could be an ideal next career step.


What youll be spending your time on:

Act as the embedded analytics partner for product managers from ideation through discovery, research, planning, execution, and launch.
Conduct deep-dive analyses to uncover customer needs, validate hypotheses, estimate business impact, and monitor KPIs during all product lifecycle stages.
Design and execute experiments and A/B tests to validate new features.
Analyze results, synthesize insights, and deliver product optimization recommendations.
Build robust, self-serve dashboards, reports, and alerting to track core metrics and enable self-serve data-driven product decisions.
Proactively analyze customer data, usage patterns, and market trends to surface opportunities and potential friction areas.
Partner with data engineering to influence the data platform roadmap based on evolving data needs.
Embrace process improvements and automation by championing new analytics capabilities.
Mentor other Product Analysts.

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.

We are looking for a Business Analyst for our Israel-based Growth department.
In this role, you will be supporting long-term revenue growth and conversion uplift of our clients by using big data and BI platforms.
You will be responsible for developing and presenting data-driven business cases liaising with key business executives and stakeholders as well as cross-functional internal teams.
Description:
Work with large amounts of data and build data-driven performance models
Analyse and optimize existing customers business offerings and pricing strategies
Build data and insights tools for internal teams
Build and maintain reports, dashboards, and statistical models
Build data-oriented business cases to be presented to customers and prospects
Take significant part in our pre sale presentations to prospects as the data expert in those meetings
See beyond numbers and identify business opportunities based on data analysis
Use 3rd party data to build customized reports.

Were looking for a Junior Data Analyst whos passionate about turning data into actionable business insights. This role is a unique opportunity to join our Duty Drawback team, where youll play a key part in optimizing one of our most impactful operational programs.
Youll work alongside experienced analysts and cross-functional stakeholders, using data to drive decisions, support strategic initiatives, and ensure smooth and accurate claim operations. If youre detail-oriented, curious, and excited about growing your analytical skills in a fast-paced environment, this role is for you.
Your Responsibilities:
Analyse operational data to support duty drawback claim generation and compliance with customs regulations.
Build and maintain reports and dashboards that track key program KPIs and performance metrics.
Support ongoing analysis of merchant participation to uncover untapped revenue opportunities.
Collaborate with BI and data teams to validate SQL queries and improve data accuracy.
Prepare data extracts for audits, compliance checks, and cross-functional reporting.
Support improvements in process automation and reporting workflows.
Your Focus Will Be On:
Data Collection & Insight Generation Creating visibility into operational performance and identifying improvement areas.
Technical Execution Assisting with claim preparation, query validation, and audit readiness.
Program Support Support the team to lead strategic work by managing the analytical backbone.

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.