דרושים » דאטה » EMS data Analyst לחברה יזמית מובילה בתחום האנרגיה

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 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.

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.

Were looking for a highly skilled and motivated Data Engineer to join the Resolve (formerly DevOcean) team .
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.

We are looking for analyst with passion for data, and a sweet spot for Tax and Duties to join our operations group.
This department is highly data-driven and focused on monitoring financial data performance across regions and brands while gaining expertise with regulatory and compliance concepts in the e-commerce. In this role you will take ownership and join a team responsible for orchestrating between operations, analyzing internal and external data sources to identify and reach actionable recommendations for business decisions.

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.

We are seeking an experienced Data Engineer with a strong background in BI and Data Engineering, excellent problem-solving skills, and the ability to work independently and learn quickly.
Role Overview
You will join a dynamic team responsible for designing and implementing end-to-end data solutions on the Microsoft Fabric platform. This role involves:
Building and maintaining robust data processes.
Driving adoption of new technology within the organization.
Ensuring scalability, performance, and reliability of data solutions.
Responsibilities:
Collaborate with leaders, stakeholders, and product managers to understand data requirements and deliver effective BI solutions.
Design, develop and maintain robust data pipelines for efficient data ingestion, processing, and storage.
Optimize data storage and retrieval processes for optimal performance.
Monitor data pipelines and systems consistently to identify performance issues, ensuring timely maintenance and troubleshooting.
Create and maintain documentation of data processes and systems.