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We are looking for a passionate analytics team lead to join our fast-growing analytics department. Using your analytical skills and leadership abilities, your mission will be to guid a team of analytics experts, help them to tell the story behind numbers, and translate data based insights into actionable business recommendations.

Responsibilities:
Lead, manage and motivate a team of business analysts, to help the company improve its business performance.
Consistently monitor the company KPIs and raise flags if needed.
Set the standard for best practices in the analytics world. Suggest new methodologies, processes and tools to analyze large data sets.
Work closely with the different business units, measure and identify hidden opportunities.
Take a key role in the companys decision making process, by leveraging data into business actions.
Initiate and lead a data driven culture.

We are seeking a talented Data Engineer Team Lead to join our dynamic team. The successful candidate will play a crucial role in leading the Data Engineering team, ensuring compliance with FUSA requirements and ISO266262 certification. Additionally, this role involves leading the development of Data Engineering infrastructure and tools, coordinating technical work, and managing personnel to drive the success of our data engineering team.

Required Senior Data Engineering
We are looking for a talented and experienced Data Engineer to join our data engineering team. In this role, you will be responsible for designing, implementing, and maintaining our data pipelines and infrastructure. You will collaborate closely with cross-functional teams, including data scientists, analysts, and software engineers, to ensure the availability, accessibility, and quality of our data assets. Your expertise in data processing, database technologies, and ETL processes will be essential in enabling effective data utilization and analysis.
Responsibilities:
Design, develop, and maintain efficient and scalable data pipelines that extract, transform, and load data from various sources into target systems.
Monitor and optimize data pipelines for performance, reliability, and data quality.
Implement and manage data storage solutions, including relational databases, data warehouses, and NoSQL databases.
Implement data partitioning, indexing, and compression strategies for improved performance and scalability.
Identify and resolve data quality issues, including data cleansing, standardization, and validation.
Identify and implement performance optimization techniques to enhance data processing speed, query performance, and system scalability.
Monitor and analyze data infrastructure and pipeline performance, identifying bottlenecks and implementing optimizations.
Stay updated on emerging technologies and trends in data engineering, proactively identifying opportunities for innovation and improvement.

We are looking for an exceptional Data Engineering Team Lead who is passionate about architecting, building, and maintaining data infrastructure from the ground up.
Responsibilities:
Build and maintain the companys central data platform.
Own the data architecture: ETL, Pipelines, Databases, Data integrations, and more.
Continuously maintain a healthy and up-to-date data tech stack, guaranteeing scalability and robustness.
Understand the organization's data needs and provide solutions to other data stakeholders, such as data analysts, engineers and product managers.
Produce state-of-the-art data engineering development methodologies, including code reviews, monitoring, tests (unit, component), infra as code, ci/cd, and more.
Provide expert-level technical leadership and mentoring to the team.
Collaborate with Analysts and Business Stakeholders on data requirements and functional specifications.
Establish data infrastructure for the Data Science team.

We are seeking an experienced and motivated Analytics Team Lead to join our dynamic team in LATAM. The Analytics team is responsible for the Product and Marketing analytics domains, driving data-driven insights that optimize our sports, casino, and customer experience (CX) offerings and shaping our marketing strategies for acquisition and retention and driving business growth through data-driven insights. You will work closely with cross-functional teams to influence product strategy, enhance user experiences and optimize marketing campaigns effectively .
Responsibilities:
Manage and lead a team of analysts, fostering a collaborative and innovative work environment. Provide mentorship, coaching, and professional development opportunities for team members. Set clear goals and expectations, and regularly assess team performance.
Develop and execute a comprehensive analytics strategy aligned with business objectives. Collaborate with stakeholders to define key performance indicators (KPIs) and metrics, Identify opportunities for improving data collection, analysis, and reporting processes.
Conduct in-depth analysis of user behavior, trends, and performance data to identify opportunities and challenges. Analyze marketing campaign performance, customer behavior, and market trends to provide actionable insights to stakeholders. conduct deep-dive analysis to optimize marketing initiatives. Translate data findings into actionable insights and recommendations to improve product offerings.
Work closely with product managers to influence product roadmap decisions and localized configurations based on data-driven insights. Monitor product performance and make data-backed recommendations for enhancements and optimizations.
Create and maintain comprehensive dashboards and reports to track product performance and communicate insights to stakeholders. Ensure data accuracy and integrity in reporting processes.
Collaborate with marketing, development, and customer experience teams to align analytics efforts with broader business goals. Provide data-driven support for A/B testing, user segmentation, and customer journey analysis.
Stay current with industry trends, emerging technologies, and best practices in product analytics. Identify opportunities to enhance data collection methods and tools.

Required Senior Analytics Engineer
Ramat Gan
Full Time
A cloud enterprise platform to manage merchandise and inventory as one.
The company accelerates the adoption of machine learning to solve inaccuracies when it comes to long term forecasting.
The company uses short-term predictions to translate consumer behavior into daily execution that maximizes sell-through, margins, and overall sales. To achieve this, The company integrates innovative retail processes, such as new product introduction, assortment management, smart allocator, liquidation process, and discount model.
The company democratizes technologies that were once the preserve of tech giants and puts them in everyones hands.
Specializes in building scalable cloud infrastructure solutions and handling huge volumes of data and processing it fast and in a cost efficient manner.
We operate in 24 countries across the globe and focus on enabling any retailer to improve its business results constantly.
As a colleague, you can work from any timezone and be reworded with benefits from a startup in a hyper growth environment.
Job Description:
The ideal candidate is a self-motivated, multi-tasker, and demonstrated team-player.
You will be responsible for defining data models, building and deploying their ETL processes and data marts to be used for our BI reports. You will face various challenges including big data time series analysis, reports generalization and others.
What youll do:
Take part in designing and architecting data solutions for all application requirements in a distributed microservices environment.
Expand and optimize our data pipelines architecture, including ingestion, digestion and ejection parts.
Develop data pipelines for a variety of data products in our application.
Define, design and develop BI reports to represent the client our value.
Additional Information:
We are proud to be an Equal Opportunity Employer.
All your information will be kept confidential.

A global sports technology hub offering multiple solutions to millions of users worldwide. The company provides Real-Time results, updated stats, original content, aggregated information, customized news feeds, and more. Our products are based on cutting-edge technologies that enable live updates and on-demand content libraries of the highest quality and scale. We are looking for a talented and experienced data ENGINEER to join our data engineering team. In this role, you will be responsible for designing, implementing, and maintaining our data pipelines and infrastructure. You will collaborate closely with cross-functional teams, including data scientists, analysts, and software engineers, to ensure the availability, accessibility, and quality of our data assets. Your expertise in data processing, database technologies, and ETL processes will be essential in enabling effective data utilization and analysis.
Responsibilities:
* Design, develop, and maintain efficient and scalable data pipelines that extract, transform, and load data from various sources into target systems.
* Monitor and optimize data pipelines for performance, reliability, and data quality.
* Implement and manage data Storage solutions, including relational databases, data warehouses, and NoSQL databases.
* Implement data partitioning, indexing, and compression strategies for improved performance and scalability.
* Identify and resolve data quality issues, including data cleansing, standardization, and validation.
* Identify and implement performance optimization techniques to enhance data processing speed, query performance, and system scalability.
* Monitor and analyze data infrastructure and pipeline performance, identifying bottlenecks and implementing optimizations.
* Stay updated on emerging technologies and trends in data engineering, proactively identifying opportunities for innovation and improvement.

Required Senior Data Analyst
If youre a dynamic and high energy person with a strong background in data analytics, this is the place for you! ‍Were looking for a talented Data Analyst to join our team and take our data driven culture to the next level. Youll have the opportunity to work on real life business cases, partner with stakeholders across all departments, and make a meaningful impact on our business.
‍In this role you will -
Build data methodologies and tools in order to develop product outputs and automations, by researching large data sets and improving our data accessibility
Provide top notch analysis, insights, and recommendations to the product team
Partner with product managers to develop high quality queries to grow our offerings and capabilities
Perform research on advertising algorithms and provide suggestions for applying them in the product data logic
Enhance the products statistical significance by developing and improving our scoring methodology to improve our automatic opportunity recommendations engine
Research data to validate the potential of initiatives while working closely with our data scientists and engineers to translate them into production code
Check the data feasibility of product managers initiatives
Produce scalable semi/fully automated queries to extract the needed value points for the product or other client deliverables
Apply critical thinking in evaluating the analytical outputs and surface gaps.

We are looking for a generalist to join our growing Analytics group.
We aim for a passionate individual who can influence both strategy and decision-making through data analysis and the creation of new analytical tools to facilitate self-serve analytics by our customers.
Your responsibilities will range from measurement strategy & KPIs, building data structure, creating actionable business insights, and identifying new opportunities for growth, cost-savings, efficiency, etc. You will collaborate with employees across the company, in all levels of seniority (individual contributors to senior leadership) and across departments (product, finance, marketing, development, etc.)
You must be comfortable with being both strategic and hands-on, operating in a hyper-growth environment filled with ambiguity, and have no fear of failing and getting back on your feet again.
About The Role:
Create cutting-edge measurement strategy and north-star KPIs for marketing, client-facing teams, and product.
Take an active part in influencing our strategy and collaborate to build new strategic initiatives with different departments in the organization.
Leverage large amounts of data to drive key business decisions and business guidance, while creating the right processes and tools for data/insights consumption, monitoring, and reporting in the marketing department.
Communicate business insights to senior management and be a trusted partner to ensure program success and data-driven decisions.
Applying your expertise in analysis, data visualization, and data mining to tell the story behind the numbers and derive actionable insights for management

We are looking for an experienced product analyst to join our growing R&D site in TLV!
You will find great people, outstanding products, and a meaningful mission. Come see why we have over 800 5-star reviews from happy customers!
What your day is like:
Collaborate with the product team to provide insights and build reusable or ad hoc data views that influence product strategy, design, and development.
Conduct deep-dive analyses to understand users pain points and their "aha" moments, identifying new opportunities and strategic data needs.
Design, develop, and maintain dashboards and reports using SQL or scripting languages, offering real-time visibility into product performance.
Develop and evaluate the success metrics of product launches and the outcomes of A/B tests.
Monitor product and system performance during and after product launches.
Collaborate with software and data engineers to ensure data quality, completeness, and consistency.
Provide quality checks for analytics events and suggestions to enhance product insights.
Participate in agile software development, including design, implementation, and deployment.

We are looking for an outstanding Senior Data Scientist to join the team and revolutionize how investment is done.
Youll be harnessing the power of machine learning models and advanced mathematical techniques to develop the first-ever real-time, no-code corporate credit score platform.
You Will:
Research of state of the art generative AI models as well as classical machine learning models.
Define data collection plan and requirements
Build models from POC to production-ready
Work closely with ML engineering team driving production release and performance monitoring
Provide guidance to the product team and user community to increase product effectiveness

Were looking for a Data scientist Expert to join us
WHAT YOULL DO

Lead an applied research for AI-driven features in the platform
Cover a range of features - from leveraging LLMs to enhance customer investigation experience to novel usage of AI for cloud security
Collaborate with engineering teams to design, build, and maintain production pipelines
Work closely with the Security Research and Product teams to define research goals
Conduct experiments and evaluate the performance of AI models, algorithms, and techniques using real-world datasets and simulated environments
Stay abreast of cutting-edge AI methodologies, frameworks, and tools and apply them to improve security solutions' accuracy, efficiency, and scalability

We are helping world-class security teams optimize their security decisions using a data driven approach. As a Senior Data Scientist, youll be at the center of our scale-up effort. You will create models that overcome formidable cyber-offensive and defensive challenges by translating and enhancing the knowledge of our world-class security researchers.
You will also build models that generate deep insights for our clients, giving you tremendous impact.
Youll work on:
Creating models for suggesting attack routes and guiding pen-testing scenarios
Evaluating organizations internal and external data for assessing overall risk, extracting actionable intelligence
Explore open research questions, read papers, design robust systems and algorithms, create MVPs
End-to-end implementation of results in prod

Power the Future with us! SolarEdge (NASDAQ: SEDG), is a global leader in high-performance smart energy technology, with over 5000 employees, offices in 34 countries, and millions of products installed in over 133 countries. Our diverse product offering comprises intelligent solar inverters, battery storage, backup systems, EV charging, and complete home energy management ecosystems. By leveraging world-class engineering capabilities and with a relentless focus on innovation, we strive to create a world where clean, green energy from the sun is the primary source of power for our homes, businesses, and just about everywhere we thrive. We are building a new data group, and we are looking for a Data Engineer that will take part in leading data revolution in the company. By joining the group, you will design and build our new data pipelines on a new platform with vast amount data , streams and batches. You will work with various departments in SolarEdge and assist them in analyzing their data in a clear, smooth and easy way. what you will be doing:
* Building and maintaining high-performance, fault-tolerant, data pipelines with vast amount of data
* Development data models and ETL
* Development applications in several different tools
* Provide support and guidelines to other teams and monitor their implantations

Country:
Israel

City:
Herzliya