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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.

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.

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

Were looking for an experienced Analytics Team Leader to join our team.
As the Analytics Lead, you will lead a team of skilled analysts. You will have a crucial role in monitoring, analyzing and optimizing performance metrics, while working closely with product, marketing and monetization teams. Your ability to derive actionable insights and guide data-driven decisions will be essential to the success of our projects.
If you have a Passion for Gaming and working in a dynamic fast fast-paced environment, then this position is for you!
Heres what we need, up for the challenge?
Lead a team of Analysts, inducing hiring and training team members.
Develop processes and best practices for breaking down questions, perform analysis and report findings to the key stakeholders
Analyzing large, complex data sets representing the behavior of millions of players to address strategic and operational business questions
Monitor live games and provide insights on player behavior and activities.
Optimization and maximization users monetization
Monitoring, analysis and recommendations on the marketing KPI performance
Data mining, pattern recognition & correlation analysis and insight generation
Definition, measurement and evaluation of AB test
Provide actionable recommendations from game data to shape features, game economy, and future product roadmaps
Be involved in building automated dashboards and reports to facilitate company-wide understanding of business KPIs
Identify and communicate key trends and potential improvements
Collaborate with stakeholders to drive insights that will help produce marketing, monetization and retention improvements.

We are looking for a capable, passionate, and experienced Senior Data analyst, with a passion for analyzing large volumes of data and extracting insights for our customers.
What You'll Do:

Full responsibility of data classification engine logics

Creating detection logic for any type of sensitive data

Research and design new approaches of detection using big data and ML algorithms

Develop and implement monitoring tools to ensure the effectiveness of our data classification system, automating KPI evaluation processes.

Data validation and ensure data integrity of the product.

Utilize data analysis techniques to support internal decision-making processes, including research and development efforts, visibility expansions, and data integrations

We are looking for a Data Analyst Team Leader.
As a Data Analyst Team Leader, youll lead a team of analysts in constructing our next-gen data infrastructure, playing a crucial role in company decisions.
Youll collaborate with various stakeholders and departments, including product, business development, marketing, finance, customer support, and more.
You'll discover key insights from a range of data sources, shedding light on user behavior, feature adoption, operational efficiency, and other metrics and trends.
In this role, your mission will be to gain a profound understanding of the business, transforming raw data into actionable intelligence to guide our data-driven decision-making at every step of the way.
You'll simultaneously build and mentor our analytics team, supporting their growth and skill development.
This isn't just a job; it's a thrilling journey that will steer us toward unprecedented success!
Responsibilities:
Manage a team of 4-5 data analysts
Lead the implementation and utilization of Google Analytics within the organization
Conduct analysis on large, complex data sets reflecting user behavior, ensuring data quality, and maintaining high standards of communication and delivery
Look beyond the numbers to inform, influence, support, and execute our business decisions
Address complex challenges concurrently in a large-scale production system environment
Offer actionable recommendations and conclusions derived from data to shape our features and product roadmap
Proactively strive to enhance and refine your team's performance by supporting their growth and strengthening their skill set

A new team that provide valuable business and product insights for Field Operations that serve millions of customers.
The team will handle analysis of various KPIs including recurrent dispatched, technician utilization, route optimization and more.
It will involve measurement of many web and mobile applications to measure user-behavior, usage and efficiency.
We take responsibility for the entire process, from event definition and data engineering (including some ML) to visualization tools.
This role is for an individual contributor until a team is assembled.
Responsibilities:
Lead data analysis activity for several products and projects around in Field-Operations
Be the data focal point for various teams, providing insights and ideas for new functionality
Analyze and explore through large complex data sets representing key business drivers, trends and operational metrics
Conceptualize, create, automate and maintain dashboards for tracking key metrics and experiments
Proactively provide meaningful insights and actionable recommendations that drive decisions
Recruit new team members and mentor them

We are looking for a Senior Product/Data Analyst.
The product analytics team delivers valuable insights for data-driven
decision for a mobile app that serves Millions of customers.
This application incorporates digital features related to Purchasing, Account Management, Billing and Payment and Support.
Our team oversees numerous business KPIs and employs cutting-edge tools and strategies.
We take responsibility for the entire process, from Event definition and data engineering (including some ML) to visualization tools.
Responsibilities:
Product-analysis activity for an application that serve millions of users
Analyze and explore through large complex data sets representing key business drivers, trends and operational metrics
Collaborate with data engineers to aggregate and clean large data sets in use
Conceptualize, create, automate and maintain dashboards for tracking key metrics and experiments
Proactively provide meaningful insights and actionable recommendations that drive decision

On our journey, we have discovered that building AI that delivers value in the real world, requires much more than just an algorithm - it requires mastering the data layers the algorithms are trained and evaluated on. AI organization, the data development achievements of our group are at the heart of improvements in our AI accuracy and scalability. We are among the few companies paving the way for methodologies and architectural patterns (that don't exist in this field yet) as we go.

Our AI Data Development Group is the data analytics core in our AI algorithms development process, and has several main areas of responsibility:

Mining the optimal data for our datasets, based on a deep understanding of the nuances of medical data, medical workflows, and algorithms.
Evaluating our algorithms performances, in order to maximize their success in real-world environments.
Facilitating data-driven product decisions through in-depth analysis.
Technical project management of the dataset development process.
Responsibilities
End-to-end ownership and technical project management of dataset development projects, for training and evaluation of AI algorithms, from ideation to delivery. This responsibility includes:
The facilitation of the data across various teams.
Detecting errors and anomalies in the data, defining the most efficient and accurate tables and views per project, and researching these issues to verify the quality signature of the dataset, which will have a sound effect on the product outcome.
Developing the optimal data pipeline per project.
Facilitating data-driven product decisions, by deeply understanding the product questions and identifying whether there are cost-effective data analyses that could provide a valuable answer to this question, based on a deep understanding of the relevant clinical workflows and algorithms.
Mapping bottlenecks in existing processes, and leading development of tools, infrastructure, and mechanisms to enhance our efficiency and decision-making processes at all levels.
Continuously assessing the projects risks and successfully mitigating them.
Develop and execute control and review processes for improving the teams quality signature on deliverables.