Required Senior Data Analyst, Risk & Fraud
Job Overview
As a Senior Analyst on the Trust and Safety Analytics team, you will play a critical role in identifying, analyzing, and operationalizing key data signals to help us prevent fraud, protect customers, and enforce acceptable use of products and services. You will apply strong analytical and technical skills to support and scale risk detection tools, monitoring processes, and mitigation strategies across Trust & Safety. This role partners closely with Product, Engineering, and Operations teams to deliver insights that drive data-informed decisions and measurable risk reduction.
Responsibilities:
Partner with Engineering and Product teams to support the design, implementation, and maintenance of analytics tools, dashboards, and data pipelines that enable effective fraud and risk monitoring.
Analyze large, complex datasets to identify trends, anomalies, and emerging fraud patterns, translating findings into actionable recommendations.
Contribute to the ongoing improvement of Trust & Safety platforms, including monitoring performance metrics, assessing platform health, and identifying risk gaps or degradation.
Design and maintain dashboards and reporting (e.g., Tableau) to track fraud performance, operational efficiency, and risk exposure.
Ensure data quality and reliability by performing validation, testing, and monitoring of analytics outputs; proactively identify and escalate issues.
Support incident analysis and investigations by using data to identify root causes, quantify impact, and recommend mitigation actions.
Stay current on fraud trends, AI-driven abuse, and industry best practices, incorporating new insights into analyses and detection strategies.
Clearly communicate insights to both technical and non-technical stakeholders, influencing decisions through data-backed storytelling.

we are looking for a Senior Data Analyst to join our growing Analytics & Growth team and play a key role in tracking, analyzing, and optimizing the companys overall performance across customers.
The role focuses on defining event tracking, attributes, and properties mapping, analyzing conversion funnels, and identifying trends or issues using web analytics tools. You will work closely with R&D, Professional Services, Product managers, and the Business Intelligence team to ensure data integrity, validate tracking implementations, support new feature launches, and enable data-driven decision-making across the organization.
The ideal candidate is highly independent, curious, and proactive, with a strong drive to uncover root causes and continuously learn new tools and methods to solve complex analytical challenges
Define, implement, and maintain event tracking, attributes, and properties across web and product platforms
Gather and analyze data from multiple sources, including web analytics, internal systems, session recordings, and online browsing activities
Conduct in-depth analyses of customers conversion funnels and trends to identify optimization opportunities, as well as raise alerts and potential issues
Monitor KPIs related to conversion, engagement, and overall company performance
Guide and support our e-commerce funnel optimization with data backed insights.
Collaborate with R&D, product managers, and cross-functional teams to define tracking needs, raise alerts, and support new feature launches
Ensure web analytics data is accurately reflected in BI dashboards and reports, enabling reliable decision-making and insights
Work closely with the BI team on reporting requests, dashboards design, QA, and acceptance before release
Provide actionable, data-backed insights to support company-wide strategy and analytical projects
Take initiative to learn independently, adopt new analytical approaches, and work autonomously on complex problems.

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 are looking for a Senior Business Analyst to join our growing Analytics & Growth team and play a key role in shaping data-driven decisions that fuel business growth.
Were looking for a Senior Business Analyst to lead high-impact analyses and provide actionable insights across management, sales, and product teams in a fast-paced e-commerce environment. Youll define and track key KPIs, analyze business performance and customer trends, and model the impact of strategic initiatives.
Partnering closely with senior leadership, youll deliver insights and recommendations that directly influence company direction while supporting product initiatives through A/B testing, new features evaluation, and other analytical projects.
The ideal candidate is curious, self-driven, and thrives in a fast-paced environment, continuously learning new tools and approaches to deliver meaningful business insights and strategic recommendations.
Responsibilities:
Define, monitor, and analyze KPIs, business metrics, and customer trends to support strategic decisions
Model and evaluate the impact of major business and product changes
Conduct statistical analyses to uncover trends, correlations, and predictive insights that drive growth
Support product and growth initiatives through A/B testing, feature evaluation, and optimization
Collaborate with cross-functional teams (sales, product, UX) to translate business objectives into actionable analyses
Deliver insights and recommendations to senior leadership and key customers, using clear visualizations and presentations
Monitor and assess the effectiveness of implemented changes and provide feedback on outcomes.

We are looking for a
Business Analyst
to join global Customer Success organization.
In this hands-on role, you will focus on financial and operational analysis, service revenues, costs, pricing models, and gross margin performance across regions.
Youll collaborate with regional CS teams and finance to identify improvement opportunities, challenge assumptions, and translate data into practical, actionable insights.
Key Responsibilities:
Service P&L Analysis
- Own ongoing analysis of the global service P&L, including revenues, costs, and gross margin performance. Identify trends, gaps, and improvement opportunities impacting service profitability and operational efficiency.
Service Pricing
- Analyze and support service pricing models and contract structures, ensuring alignment with profitability and business objectives.
Regional Partnership:
Collaborate with regional service teams, challenging assumptions and translating data-driven insights into actionable improvement plans.
Insights & Reporting:
Develop dashboards and reports that provide timely, actionable insights for leadership and regional stakeholders.
Planning & Forecasting:
Support service revenue forecasting, validate key assumptions for the annual operating plan (AOP), and monitor actual results versus targets.

We are looking for a motivated Data Engineer to join our growing Data team. This is an exciting opportunity to be part of a core group responsible for building, maintaining, and scaling our data platform, while working closely with Product, Engineering, and business teams.

You will play a key role in developing reliable data pipelines, ensuring data quality and consistency, and enabling data-driven decision-making across the organization.

Responsibilities:
Design, build, and maintain data pipelines and data models to support analytics and reporting needs.
Work with structured data across databases, data lakes, and data warehouses.
Write efficient and maintainable SQL and Python code for data transformation and validation.
Ensure data quality, consistency, and basic data lineage across systems.
Collaborate with Product, Engineering, and business stakeholders to understand data requirements.
Support dashboards and reporting tools by providing clean, well-modeled data.
Contribute to improving data standards, documentation, and best practices.

Were looking for a highly skilled and motivated Senior Data Engineer to join the Resolve (formerly DevOcean) team at our company. In this role, youll be responsible for designing, building, and optimizing the data infrastructure that powers our SaaS platform. Youll play a key role in shaping a cost-efficient and scalable data architecture while building robust data pipelines that serve analytics, search, and reporting needs across the organization.
Youll work closely with our backend, product, and analytics teams to ensure our data layer remains fast, reliable, and future-proof. This is an opportunity to influence the evolution of our data strategy and help scale a cybersecurity platform that processes millions of findings across complex customer environments.
Roles and Responsibilities:
Design, implement, and maintain data pipelines to support ingestion, transformation, and analytics workloads.
Collaborate with engineers to optimize MongoDB data models and identify opportunities for offloading workloads to analytical stores (ClickHouse, DuckDB, etc.).
Build scalable ETL/ELT workflows to consolidate and enrich data from multiple sources.
Develop data services and APIs that enable efficient querying and aggregation across large multi-tenant datasets.
Partner with backend and product teams to define data retention, indexing, and partitioning strategies to reduce cost and improve performance.
Ensure data quality, consistency, and observability through validation, monitoring, and automated testing.
Contribute to architectural discussions and help define the long-term data platform vision.

Power the Future with us! At our company, we're a global leader in smart energy technology, with over 3,000 employees, offices in 30 countries, and millions of installations worldwide. Our innovative solutions include solar inverters, battery Storage, backup systems, EV charging, and AI-based energy management. We're committed to making clean, green energy the primary power source for homes, businesses, and beyond. With the growing demand for electricity, the need for smart, clean energy sources is constantly rising. our company offers amazing opportunities to develop your skills in a multidisciplinary environment, covering everything from research and development to production and customer supply. Work with talented colleagues, tackle exciting challenges, and help create a sustainable future in an industry that's always evolving and innovating. Join us and be part of a company that values creativity, agility, and impactful work. We are looking for a detail-oriented and analytical Forecast Analyst to join our team. In this role, you will be responsible for analyzing data and building forecasts that support strategic decision-making and business planning. You will work closely with cross-functional stakeholders to deliver insights and predictions that help drive business performance and informed decisions. Key Responsibilities:
* Analyze historical data and market trends to produce accurate forecasts and actionable business insights.
* Build, maintain, and refine forecasting models using statistical methods and analytical tools.
* Partner with cross-functional teams to understand forecasting needs and translate them into effective models and outputs.
* Prepare and present clear reports on forecast accuracy, trends, and business impact to key stakeholders.
* Continuously monitor forecasts and adjust them based on changes in market conditions or business strategy.
* Support annual and quarterly business planning processes through detailed forecasts and projections.
* Ensure high data quality, integrity, and accuracy across all forecasting activities.
Country:
Israel
City:
Herzliya

We are looking for a highly skilled Data Engineer . to build and maintain robust, scalable data pipelines and data marts acting as the connective tissue for intelligence insights generation that serves executive stakeholders , internal customers and 3rd party
The Fintech AI & Data group is looking for a staff Data Engineer to work closely with analysts, data scientists, and software developers and strengthen Fintech by building data capabilities and AI transformation.
Responsibilities:
Gather data needs from internal customers like product and analysts, and translate those requirements into a working database and analytic software.
Design, build, and maintain scalable, reliable batch and real time data pipelines, data marts and warehouse supporting executive dashboards, operational analytics, and internal customer use cases
Ensure high data quality, observability, reliability, and governance across all data assets
Optimize data models for performance, cost-efficiency, and scalability
Develop data-centric software using leading-edge big data technologies.
Build data capabilities that enable automated agentic insights and decision intelligence
Develop reusable data services and APIs that power AI-driven workflows
Evolve our data architecture into an AI-native data layer designed to power LLMs, AI agents, and intelligent applications
Collaborate with analytics, product, and AI teams to translate business needs into scalable data solutions
Influence the software architecture and working procedures for building data and analytics
Work bBe the go-to person for anything and everything regarding understanding the data - exploration, pipelines, analytics, etc. and work both independently and as part of a team
How youll succeed
Have an impact on satisfying customers and reducing financial fraud
Help build the team by hiring the best talent
Contribute toexperiments and research on how to enhance our capabilities
Learn new technologies and methodologies
Collaborate with other data engineers, analysts, data scientists and developers
Be proactive with a self-starter attitude
Be a good listener, while also having strong opinions on what is right
Be fun to be around :)

The Pricing analyst will be responsible for implementing and optimizing pricing strategies for the companys fulfillment services. This role will require a deep understanding of market dynamics and cost structures. The ideal candidate will combine strong analytical abilities with a strong business mindset to ensure competitive pricing while driving profitability.
Key Responsibilities:
Execution of competitive and profitable pricing strategies for the companys fulfillment services.
Cost Analysis: Conduct detailed cost analysis, identifying cost variables which might impact pricing models.
Market and Competitor Benchmarking: Analyze market trends, customer demands, and competitor pricing to ensure our services remain competitively priced while maintaining profitability.
Serve as a business partner to Sales and Account Management teams, supporting deal structuring and pricing decisions.
Pricing Optimization and Continuous Improvement: Continuously analyze pricing performance and identify opportunities to optimize revenue and margins through process improvements and better use of data.