לוח משרות דרושים הייטק דאטה בפתח תקווה

Required Staff Data Analyst, Risk & Fraud
Job Overview
As a Staff Analyst on the Trust and Safety Analytics team, you will be responsible for identifying, making available, and leveraging critical data elements to optimize our ability to fight fraud, protect its customers and enforce acceptable use of products and services. Specifically, you will focus on applying your analytical skills to design, support and scale tools, processes, and strategies that proactively identify and mitigate risks across the organization.
Responsibilities
Collaborate closely with Engineering and Product teams to design, implement, and maintain analytics frameworks, tools, and data systems that support effective data monitoring and risk management strategies, enabling informed, data-driven decision-making.
Take an active role in the analytics team's efforts to manage and enhance Trust and Safety platform capabilities. Provide timely insights and actionable recommendations to strengthen platform performance and address emerging challenges. Develop tools and systems to measure platform health and assess risks, including designing dashboards to track performance metrics, analyze trends, and identify areas that require attention or intervention.
Ensure analytics systems are consistently reliable, accurate, and available. Establish proactive monitoring processes and implement thorough testing to detect and address issues, minimizing system disruptions or delays.
Contribute to effective incident management by using analytics to identify root causes, provide actionable insights, and continuously improve platform risk mitigation solutions.
Stay abreast of the latest developments in AI, and integrate insights into your analysis to address emerging risks.

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.

We are seeking a seasoned and execution driven VP, head of data platform to lead all the R&D tracks of the Data and Analytics organization in our company. This role focuses on leading a complex data engineering organization at scale, driving delivery, operational excellence and cross-company enablement through world-class data platforms and tools.
This leader will serve as the engineering owner of our data platform, managing multiple data infra, data engineering and BI development teams, overseeing extensive resources, and ensuring the delivery of high-quality, scalable, and reliable data products and services. This position requires a strong technical background combined with exceptional leadership, strategic thinking, and cross-functional collaboration skills.
He will also act as a key stakeholder in defining the architecture and strategic direction of our data infrastructure, pipelines, AI/ML infra and platforms to support the company's rapid growth and evolving business needs.
What youll do: 
Lead and manage the entire data platform, including:
Real-Time Data & Streaming Infrastructure: Introduce and engineer robust data streaming infrastructures (e.g., using Kafka, Pub/Sub, Dataflow) to enable near-real-time data ingestion and scalable low-latency data serving, unlocking advanced analytics and critical use cases.
Data engineering teams responsible for the data ingestion, transformation and delivery pipelines
BI infra and development teams owning the cross-company consumption layer, including BI tools, BI data layers and dashboards
Serve as the operational and delivery lead across the data platform, ensuring strong project execution, roadmap alignment and measurable business impact
Data Engineering & Architecture Oversight: Lead the design, development, and evolution of scalable data platforms, encompassing data lakes, data warehouses, and advanced data products, ensuring they meet performance, reliability, and business requirements.
Operational Excellence & Reliability: Establish and drive engineering operational excellence processes across data engineering, significantly improving data quality, availability, and system reliability. Implement frameworks for proactive monitoring, alerting, and incident management, reducing major incidents and ensuring continuous visibility into data flows.
Advanced Data Observability: Integrate and leverage cutting-edge data observability solutions (e.g., Monte Carlo) to provide comprehensive visibility into data pipelines, enabling proactive detection and resolution of anomalies.
Cross-functional Collaboration & Stakeholder Management: Collaborate extensively with product, analytics, business, and infrastructure teams to align data strategies with overarching business priorities, ensuring the delivery of high-quality data products that meet diverse user needs.
Innovation & Technology Adoption: Stay abreast of the latest data, cloud, and AI trends, driving the evaluation and adoption of modern cloud-native technologies to continuously improve platform capabilities and future-proof the ecosystem.
Leadership & Team Growth: Lead, mentor, and grow a large team of data engineers, fostering a culture of technical excellence, continuous learning, and agile methodologies. Oversee budget management and drive talent development within the team.
Data Governance & Quality: Oversee the implementation of standards for data quality, data integrity tools, governance, privacy, and regulatory compliance across the data ecosystem

מיקום: פתח תקווה
About the position
We provide an advanced end-to-end technological solution for human resource management and organizational efficiency.
We are looking for a talented data Analyst to join our team.
In this role, you will take ownership of end-to-end data analysis, transforming complex data into actionable business insights that support strategic decision-making and drive company growth.
The position is located in Petah Tikva.

Key Responsibilities
Analyze data from various company systems and generate actionable business insights.
Build reports and interactive dashboards for management and for CS, Product, and Marketing teams.
Work with data warehouses and write complex SQL queries.
Maintain and optimize data infrastructure while developing data -driven work processes.