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.

Job ID : R_101348.

We are looking for a Product Analyst which lives and breathes data! Someone who can see beyond numbers and is curious to investigate and get insights, ready to solve problems and able to piece together information from multiple sources to create a complete picture.

As a Product Analyst you will make a direct impact on the company activity by delivering valuable insights into KPIs, creating tools and analyzing company's data. You will be operating within the BI team, communicating with cross-functional teams - understand needs and capture requirements, monitor performance, funnels, pain points, and proactively come up with actionable recommendations.

You Will:
Design and create BI dashboards, reports and ad-hoc analysis to provide value and business performance monitoring.
Analyze and interpret data, effectively communicating your insights and plans to cross-functional team members and management.
Provide analytical support for management's decision making.
Develop and maintain BI platforms (Tableau).
Interact and communicate with stakeholders to initiate projects; gathering all pieces of information and alignment.

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.

Were looking for an exceptional Data Team Lead to lead our data analytics team and transform the scraping industry. As a Head of Data, you will be a major focal point in the company, lead a team of data professionals and work closely with cross-functional teams to ensure data-driven decision-making and impactful insights.
What Youll be Doing:
Provide strong leadership and mentorship to a team of data analysts and data engineers by setting clear goals, providing regular feedback, and ensuring the teams professional growth and development
Work closely with Product, Sales and CS teams to gather needs for data insights and reports within the company
Own internal data in the company, including product and business analytics, end to end and be responsible for its delivery, infrastructure, accuracy and integrity
Work closely with the product team to lead data features of our own customer facing analytics dashboard
Lead the analysis of complex datasets to extract valuable insights, trends, patterns and anomalies that drive strategic decisions
Present findings and actionable insights to senior management and cross-functional teams
Lead the building and upgrade of existing data infrastructure to cope with performance, scalability, and growth ץ

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 a group of authentic, curious, intelligent, and playful problem-solvers who enjoy succeeding together. Founded in 2015 and operating as a bootstrap startup for seven years, was acquired in 2022 by mega mobile publisher Zynga/TakeTwo Inc to bring our to the next level.

Responsibilities
Working on projects across multiple DS disciplines (Tabular datasets, Vision, NLP, Bayesian modeling, etc..)
Apply complex analytical techniques to derive actionable insights.
Converting business needs into working data science projects (Identifying problems and providing solutions from ideation to deployment).
Conducting research and implementing new initiatives.
Working closely with our product, analysis, data and development departments.
Designing and Creating machine learning and DS pipelines used to ease, enhance and automate analysis tasks.
Optimizing and improving existing ML/DL models and pipelines.
Working with big data (BigQuery, SQL).
Roles & Responsibilities
Identify valuable data sources and automate collection processes.
Undertake the preprocessing of structured and unstructured data.
Analyze large amounts of information to discover trends and patterns.
Build predictive models and machine-learning algorithms.
Propose solutions and strategies for business challenges.

Were looking for a BI analyst to join our team, to help proactively support and guide our business and product growth through data analysis and monitoring.
You will lead the analytics efforts and methodology building, and work closely with the company team leader and product managers to drive strategic initiatives forward and provide key insights to multiple domains (ops, product, finance, CS, and more).
RESPONSIBILITIES:
Create, support and maintain reports and dashboards for a variety of use-cases and teams at our, to create visibility into our products and services.
Promote data-driven decisions by helping to set the right KPIs, analyzing business and product usage data, conducting root cause analysis, and discovering data anomalies.
Manage multiple data initiatives and projects, both on-going and ad hoc
Recommend tools and data analysis techniques, present new approaches of data analytics
Work closely with a wide range of teams - Senior Management, Product Managers, Operations Managers , Research, SW and HW developers, and more.

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.