דרושים » תוכנה » data Analyst

We're looking for a Senior Business Analyst to lead the data domain within our Working Capital Business unit - a high-impact, fast-moving team that operates like a startup within a global company.
This is a unique opportunity for a hands-on, strategic thinker to take full ownership of our data domain: from defining and executing our data strategy, to building advanced risk models and scalable infrastructure - while leading the data domain in a matrixed structure that includes a business analyst and a data engineer.
The ideal candidate brings a strong analytical mindset, experience in data modeling, and a proven ability to turn complex datasets into actionable insights that shape business strategy. They also possess the skills to design and build scalable data infrastructure, along with strong teamwork and leadership capabilities in a cross-functional environment.
What youll do:
Own and lead the data domain within the Working Capital unit, including analytics, modeling, and infrastructure.
Design, develop, and maintain our risk scoring model - a core component of the product used to assess credit risk.
Develop, refine, and maintain dashboards, reports, and visualizations to monitor key KPIs.
Conduct in-depth analysis to uncover trends and deliver strategic, actionable insights for all business domains (Risk, Growth, and Ops).
Guide and mentor analysts, fostering a high standard of analytical thinking and execution.
Partner with cross-functional teams (RevOps, Marketing, finance, operations, etc.) to enhance the data infrastructure supporting the Working Capital business.

As a Senior Product Analyst at our company, youll join the AI Solutions group, contributing to the development of intelligent identity security capabilities. This role sits at the intersection of data, product, and AI - giving you the opportunity to apply analytical thinking and technical skills to help shape real-world solutions. Youll work alongside senior analysts, data scientists, engineers, and product managers to explore data, derive insights, and contribute to productizing AI-driven features that improve the performance, usability, and intelligence of our offerings. This is an ideal opportunity to kick-start your career in product analytics with mentorship, responsibility, and meaningful impact from day one
Analyze product usage and behavioral data to support the design and improvement of AI-powered features.
Work closely with product managers and engineers to translate insights into productized solutions that enhance functionality and user experience.
Build and maintain dashboards, KPIs, and reports that drive product decision-making.
Contribute to the development and validation of success metrics for new capabilities.
Collaborate with data scientists on experiments, A/B tests, and model monitoring efforts.
Ensure data quality and support scalable pipelines by working with data engineering teams.
Communicate findings through clear presentations and visualizations that influence roadmap decisions.
Develop a deep understanding of product workflows and user behavior to guide analytical priorities.

We are looking for a BI Team Leader.
What Will You Do?
Lead and mentor the BI team, fostering a culture of collaboration, innovation, and excellence in analytics delivery while owning both team deliverables and cross-functional outputs that serve the organization.
Define and execute the BI strategy and roadmap, aligning with business goals and ensuring that analytics directly support organizational priorities.
Evaluate and manage vendor and technology relationships related to BI tools, cloud data warehouses, ETL/ELT frameworks, and dashboarding platforms.
Partner with senior stakeholders across Sales, Product, Customer Success, Marketing, and Cloud/Ops to identify opportunities, define KPIs, and enable data-driven decision-making.
Oversee the companys data ecosystem, including the data warehouse (DWH), data pipelines, dashboards, and reporting frameworks, ensuring reliability, scalability, accuracy, and security.
Integrate internal and external data sources to deliver timely, high-quality dashboards, reports, and insights that drive business impact.
Promote strong data governance and consistency by standardizing metrics, documentation, and analytics best practices across the organization.
Continuously improve BI capabilities through automation, self-service analytics, and the adoption of modern BI tools and technologies.