דרושים » דאטה » A global company is looking for a Product Analyst!

As a hybrid analyst-data scientist, youll partner closely with Customer Success, Professional Services, Training, and Support teams to deliver both advanced modelling, and foundational analyses. Youll uncover patterns, build models, and translate complete findings into clear, actionable recommendations that influence senior leadership decisions and improve Enterprise customer outcomes.
If you thrive on uncovering patterns in data, influencing high-level business strategy, and translating insights into measurable customer outcomes, this role is for you.
Responsibilities:
Work as part of a small Customer Success Insights and Operations team that leads data analysis, predictive insights and operational support to a growing CS team dedicated to the success of our customers.
Deliver actionable analyses and insights across key Enterprise CS OKRs, initiatives and growth experiments - leading 2-3 strategic projects per Quarter. These projects could be anything from churn analysis, expansion-likelihood modelling, behaviour clustering, to NPS sentiment and customer success plan performance.
Build, test and maintain predictive and statistical data models that identify risk, quantify revenue opportunities and prioritise CS actions at scale.
Support the creation of dashboards with our BI team that track customer health, renewal risk, and engagement impact across our enterprise accounts.
Design and analyse growth and expansion experiments to identify and scale opportunities for product adoption and usage expansion.
Partner with CS leadership to support MBRs/QBRs, operational reviews, and executive reporting.
Drive cross-functional collaboration with Product, Sales, and Marketing to ensure alignment on customer insights and opportunity areas.
Respond to specific internal CS requests to support customer retention and growth plays, delivering 5+ high-value analyses monthly that fuel CS OKRs and strategic decision-making.
Leverage statistical and analytical tools (e.g., SQL, Python, statistical / ML libraries as well as BI tools like Qlik) to model data, test hypotheses, and communicate recommendations with clarity and impact.
Explore and help operationalise the use of AI-tools like ChatGPT and Google Gemini to support analysis velocity, identify patterns and automate insights generation.
Champion data quality and governance, ensuring reliable and scalable data pipelines in partnership with MIS and Data Engineering teams.
Advise on KPI design and performance tracking for Enterprise CS metrics including NRR, GRR, churn, and adoption health scores.

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.

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 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.

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 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

Required Salesforce Analyst
Position Overview:
Be a part of the Global Business Applications group, leading our Post-sale and service organization from an information system perspective using the latest technology of salesforce, Gainsight, Five9, and other related tools including managing integrations between the different information systems, where youll play a key role in shaping our information systems. Leverage cutting-edge Salesforce technologies and related tools to drive business impact, while managing integrations across multiple platforms to ensure seamless data flow and operational efficiency.
Working with latest technology of Salesforce such as Experience cloud (Customer community including e-Commerce, internal community), Digital engagement, Einstein Prediction as well as Learning management system (Appinium), Five9 call center, CMS. Responsible for integrations and creating processes cross-systems.
Using the tools like Agentforce and SF flows you will build customer journeys to support both our employee and the end users. You will be working together with the business in building processes and solutions that simplify both for the customer and the employee.
Key Responsibilities:
Own and manage end-to-end projects and items, from initial scoping and stakeholder alignment through execution, testing, deployment, and post-launch support.
Lead and deliver end-to-end Salesforce Customer Experience solutions, driving initiatives such as Customer Success, Customer Support, Training, Services and more.
Work closely with business stakeholders and technical teams to design and execute complex projects using both out of box features.
Design and analyze various business processes and related data from the requirements gathering to implementation and roll out.
Responsible for evaluating and recommending a configuration that maximizes software capabilities.
Maintenance including problem (ticket) resolution within SLA and highest quality.
Evaluate new tools to be implemented with integration to Salesforce to drive solutions to business process issues and maintain data integrity.
Participate in Agile ceremonies and work within Scrum sprint cycles to prioritize, plan, and deliver Salesforce-related tasks and enhancements.

Meckano provides 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.

Were looking for a Data Analyst whos passionate about turning data into actionable insights. You will support the analytical backbone of the Duty Drawback program, helping optimize one of our companys most impactful operational processes.
Responsibilities:
Analyze operational data to support drawback claim generation and compliance.
Build and maintain dashboards and KPIs for program visibility.
Support merchant eligibility and participation analysis to uncover new revenue opportunities.
Collaborate with Developers, Product and BI to ensure data accuracy, availability and integrity.
Prepare data extracts for audits and compliance checks.
Support improvements in data workflows, automation, and reporting.

Join an amazing team driving cutting-edge AI solutions in the fintech industry, primarily focused on evaluating risk for lending products.
This Principal role requires an exceptional blend of deep research, architectural mastery, and a powerful innovation mindset to pioneer new capabilities and deliver high-quality, end-to-end AI systems that shape the product direction for the next 5-10 years.
Responsibilities:
System Architecture & Ownership
Own projects from conception to production, collaborating globally with partners to deliver complex projects.
Define the vision and direction for end-to-end solutions, serving as a thought leader on execution that brings immediate value and solves for the long-term vision.
Deliver robust, high-performance AI/ML system designs that meet critical requirements (latency, throughput, cost, maintenance).
Drive cross-functional end-to-end design architecture.
AI/ML Development & Leadership:
Lead the full cycle of big data exploration, including hypothesis formulation, advanced predictive statistical modeling, and algorithm development across complex, large-scale data.
Mentor existing Data Science teams, influence AI-driven product design and strategy with partner architects, and assist in the definition of roles and training needs.
Innovation & Research Strategy
Pioneer innovative Proof of Concepts (POCs) to show the way for where Fintech products should go over the next 5-10 years, focusing on high-impact solutions like Explainable AI, Homomorphic Encryption, or advanced Behavioral Analytics.
Apply research to create high-impact solutions and represent the teams innovation to the wider organization.
Act as a Consultative Business Facilitator, exploiting revealed insights and providing entrepreneurial guidance for business stakeholders.