As a Data Engineer, you will play a pivotal role in shaping our evolving data culture. You will be responsible for collecting, organizing, and analyzing data to provide valuable insights that drive informed decision-making across the organization.
This is an opportunity to join a dynamic team and contribute to the development of data-driven solutions that drive business growth and innovation. If you are passionate about data and thrive in a collaborative environment, we encourage you to apply.
Responsibilities:
Collect and gather data from various sources, both internal and external.
Organize and clean datasets to ensure accuracy and reliability.
Utilize appropriate tools and software to analyze and visualize data effectively.
Collaborate with cross-functional teams to identify data needs and requirements.
Develop and implement data collection strategies to support business objectives.
Interpret data and provide insights to inform decision-making processes.
Create reports and presentations to communicate findings and recommendations.
Assist in the development of data-driven solutions to address business challenges.
Stay updated on industry trends and best practices in data analysis.

We are seeking an experienced, data-driven individual with a strong background in data analysis and BI development to join our growing team.
Our team is at the forefront of data analysis and BI solutions on mobile devices, driving content recommendations to over 400M active devices worldwide. As part of your role, you will leverage complex business analysis, and extract insights that will significantly impact our business success and drive strategic decisions.
You will lead end-to-end BI projects, work on requirements, craft solutions, develop complex ETLs, and visualize actionable insights.You will collaborate directly with cross-functional teams, as well as internal and external stakeholders, to understand business needs and provide reliable and innovative data analysis and BI solutions.
Transform billions of daily events into critical information, business insights, and graphical dashboards that will drive meaningful impact for our business.If you excel in analytical thinking, BI technical skills and possess a strong passion for data analysis and BI development, this role would be just perfect (!) for you.
What you'll be doing:
Derive meaningful insights and actionable value from data and effectively communicate it to diverse stakeholders. Collaborate closely with Management, Product managers, Data Science, R&D, Sales and other teams
Develop complex SQL queries and work with a variety of relational and non-relational databases, including Redshift, MySQL, SingleStore, and others
Architect and implement BI ETL pipelines, reports, and dashboards to illuminate product and business performance, using various tools including Airflow, Python, Jenkins, among others
Design and deploy visually compelling data visualizations using platforms like Looker, Tableau and others
Engage in the data aspects of product and feature development and assessment, establish product reporting frameworks, and analyze outcomes of A/B testing.

Required Data Analyst
Description
What makes us unique?
This is a special place with a unique combination of brilliance, spirit, and just all-around great people. Here, if youre willing to do more, your career can take off. We are a leading SaaS company for the field service industry, one of the most recession-proof and lucrative industries today.
We are located in the heart of Tel Aviv, just a short walk from Rothschild Boulevard. Youll find everything you need to focus or work collaboratively with your colleagues in our brand-new, beautifully designed open office space. When were not hard at work, you will find us in our awesome game room with a ping pong table, a comfy lounge, and video games for the ultimate afternoon break. We recognize you have a life outside the office, our workweek is flexible and hybrid, but you wont want to miss happy hour!
Who are you?
You are a highly analytical and detail-oriented individual who is passionate about data and its ability to drive business decisions.
You have a strong understanding of data modeling and are comfortable working with large and complex data sets.
You are a self-starter and a can-do approach who is able to work independently and as part of a team, and you have excellent communication skills that allow you to clearly and effectively communicate data insights to non-technical stakeholders.
So, what will you be doing all day?
Collect, process, and analyze large amounts of data (specifically marketing, sales, operations & CS) to identify trends, patterns and insights with different stakeholders (Israel and US).
Develop dashboards, reports, and alerts to visualize data and communicate findings to stakeholders
Work with cross-functional teams to develop and implement data-driven solutions to business problems
Perform ad-hoc analyses to support strategic initiatives and business decisions
Develop and maintain data models and data pipelines to ensure data accuracy and consistency
Monitor and maintain data quality, identify data inconsistencies, and work with stakeholders to resolve issues
Identify opportunities for process improvements and automation
Stay up-to-date with industry trends and best practices in data analysis and visualization.

At UVeye, we're on a mission to redefine vehicle safety and reliability on a global scale. Founded in 2016, we have pioneered the world's first fully automated suite of vehicle inspection systems. At the heart of this innovation lies our advanced AI-driven technology, representing the pinnacle of machine learning, GenAI, and computer vision within the automotive sector. With over $200M in funding and strategic partnerships with industry giants such as Amazon, General Motors, Volvo, and CarMax, UVeye stands at the forefront of automotive technological advancement. Our growing global team of over 200 employees is committed to creating a workplace that celebrates diversity and encourages teamwork. Our drive for innovation and pursuit of excellence are deeply embedded in our vibrant company culture, ensuring that each individual's efforts are recognized and valued as we unite to build a safer automotive world.
UVeye is looking for an experienced Data Analyst to join our Data team As our Data Analyst, you'll play a pivotal role in cleaning, analyzing static data, and contributing to the success of our data-driven culture.
A day in the life and how you’ll make an impact:
* Perform thorough cleaning and analysis of static data, ensuring accuracy and reliability.
* Conduct statistical and exploratory analysis to uncover patterns, trends, and key insights.
* Create insightful reports and visualizations that effectively communicate complex findings to various stakeholders.
* Work directly with stakeholders to understand their data needs and collaborate in making informed, data-driven decisions.

We are looking for a Product Analyst who will take part in building innovative, unique products and services for our publishers.
In this role, you will lead the analytics of products in your domain of responsibility and proactively guide our business growth, based on data analysis and statistical research, to ensure development of successful products.
We currently work in a hybrid work model giving employees the flexibility to work from home a few days a week. We have offices in Ramat Gan and Beer Sheva and are looking to grow to additional locations such as Jerusalem, where our employees have the opportunity to meet their teammates, connect with other teams and socialize with friends.
What are some of the things you do on a day-to-day basis?
Define and analyze A/B tests to optimize product performance and understand user behavior
Take part in product-related decisions and identify opportunities for product improvements
Research and analyze large volume data sets in order to generate useful conclusions and actionable recommendations
Develop data models and dashboards as well as find creative solutions for a variety of challenges never dealt with before.
Become the focal point for all data related matters, own and manage multiple data initiatives and projects on an on-going and an ad-hoc basis.
Work closely with R&D and Product teams, understand objectives and create products that contribute to the companys goals.

We are looking for a Senior Data Engineer.
As a Senior Data Engineer, you will play a pivotal role in our Data Engineering team, driving a multitude of responsibilities essential to fueling our groundbreaking R&D endeavors. Youll have the autonomy to explore and implement cutting-edge technologies and data solutions, collaborating with diverse team of data scientists, developers, analysts, and stakeholders. Every day will present new learning opportunities and challenges as we strive together to reshape the future of work.
Responsibilities:
Design, develop, and maintain scalable data pipelines and infrastructure to support the collection, processing, and analysis of large volumes of data.
Collaborate with cross-functional teams, including data scientists, software engineers, and business stakeholders, to understand data requirements and develop solutions that meet business needs.
Implement best practices for data governance, security, and quality assurance to ensure the integrity and reliability of our data assets.
Optimize and tune existing data pipelines and processes for improved performance and efficiency.
Stay up to date with current best practices in the big data field.
Mentor and coach other members of the data engineering team, providing guidance and support to help them grow their skills and expertise.

Artlist is where the creative arts meet technology. If there’s one thing we all have in common, it’s a love of music and film, which is why we build innovative products to help content creators make amazing videos. We do this by giving them the best music, footage, sound effects, and editing software around. We also revolutionized the industry with a radical new music licensing model that has since become the global standard. Artlist now is the go-to platform for over 16M content creators across more than 160 countries. Our users range from beginner social creators to megabrands like Apple, Google, Nike, Coca-Cola, and Netflix. Our products:
* Artlist: a platform for the highest-quality, royalty-free music, SFX, footage, and video templates
* Motion Array: a leading video template platform that also offers software plugins, and over 1 million royalty-free songs, videos, sound effects, photos, and graphics
* FXhome: a cutting-edge developer of video, VFX, and image editing software As a Senior Payments Data Analyst you will have the ability to look at the company's data from a bird's eye point of view, and at the same time get your hands dirty with data and drill down analysis. Your main responsibility will be to provide meaningful insights to the company about its payment performance, aiming to make customer journeys as frictionless as possible and maintain industry-leading approval rates. You will play a significant role in making a data-driven impact on the company's success in charging its customers. and reaching its business targets. Wake up for this:
* Owning the payments performance analysis and data visibility of all relevant metrics and KPIs, such as approval rate, conversion etc.
* Developing and implementing a repeatable process for monitoring and reporting our payments performance across all activities.
* Synthesizing performance trends and proactively Identifying opportunities for risk or improvement.
* Being the focal point of the finance team and working closely with multiple stakeholders to collect feedback and define requirements on a continuous basis

Where the creative arts meet technology.
If theres one thing we all have in common, its a love of music and film, which is why we build innovative products to help content creators make amazing videos. We do this by giving them the best music, footage, sound effects, and editing software around. We also revolutionized the industry with a radical new music licensing model that has since become the global standard. 
We are now the go-to platform for over 16M content creators across more than 160 countries. Our users range from beginner social creators to megabrands like Apple, Google, Nike, Coca-Cola, and Netflix.
Our products:
* A platform for the highest-quality, royalty-free music, SFX, footage, and video templates
* Motion Array: a leading video template platform that also offers software plugins, and over 1 million royalty-free songs, videos, sound effects, photos, and graphics
* FXhome: a cutting-edge Developer of video, VFX, and image editing software Were looking for a full-time Product Analyst to join our data Analytics team in Tel Aviv. The Product Analyst will proactively support the business growth through product efforts,by providing top-notch analyses, insights and recommendations., focusing on our catalogs performance.
Wake up for this:
* Play a key role in the product, and be responsible for a wide range of aspects in it, such as: catalog management and performance
* Creating operation tools and provide guidance to the stakeholders
* Explore, analyze and process massive amounts of data, and turn it into actionable insights.
* Work closely with key stakeholders to drive strategic product initiatives forward.
* Analyze behavioral data and product performance data, develop measures to ensure product health and business growth.
* Design, build and maintain product-related reports and dashboards for various roles.
* Act an analytical focal point for stakeholders for all product data related matters.

We are looking for a Senior Data Analyst who will join our R&D team .As a Data Analyst, you will have a significant opportunity for impact, driving the company to new heights. You will influence decision making processes throughout the user journey, be a partner to different teams, and drive strategic business decisions that shape the direction of the company.

What you will do

Identify, analyze, and interpret trends or patterns in complex data sets to drive actionable insights
Understanding business operations requirements and creating useful and planned solutions to address data needs
Analyze large datasets and provide useful actionable recommendations to support the business operations goals
Develop data processes and build data infrastructure for the relevant stakeholders
Build and maintain reports, dashboards, and KPIs to monitor performance
Translate business requirements to analytical logics, and create a clear visualization which "tells the story"

Were looking for a Senior data Analyst with experience analyzing website data. 
*Hybrid Model
*Direct Employment Position
Our data analyst team analyzes everything on our website, not only for their immediate use but also for how they connect to high-level company KPIs. The role requires understanding web development and how data is gathered, analysis of site usage and a/b tests, data visualization and how different kinds of data can be presented most clearly, and business KPIs and how they are measured.
But more than that, were looking for experienced analysts that can bring us new ideas about how to analyze and extract insights from website data. Our ideal candidates have measured KPIs that we havent measured or used new ways to explain user retention, or analyzed features of users data that we havent analyzed.
Analyzing the behavior of users on our site and apps:
-Build and maintain dashboards that visualize the usage of single or multiple features and how that usage drives company KPIs.
-Answer questions about site usage or user behavior based on deeper analyses.
Analyze and track high-level KPIs such as conversion, retention, churn, recurring revenue, engagement, cross-device usage, e-mail and notification usage, and more.
Communicate with business stakeholders on analysis results, how they relate to business, and what business suggestions result from the analysis.
Run the whole data flow for site and app features, from defining KPIs, specifying data collection for development team implementation, and building and maintaining iterative versions of dashboards with both low-level and high-level views of collected data.
Split tests of product features:
-Design a TEST with clear success criteria
-Monitor TEST integrity
-Analyze results and give recommendations
-Use segmentation and clear cohort analysis to validate significant conclusions
-Conduct exploratory analysis to identify trends and opportunities