לוח משרות דרושים Data Analyst בתל אביב יפו

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 experienced Game Data Analyst to work closely with the product teams to analyze performance metrics, create insights, and guide data-driven decisions.
If you have Passion for Gaming and work in a dynamic fast fast-paced environment, then this position is for you!
Heres what we need, up for the challenge?
Analyzing large, complex data sets representing the behavior of millions of players to address strategic and operational business questions
Optimization and maximization users monetization
Recommendations for segmented offers based on user segments and behavior
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 and player experience
Identify and communicate key trends and potential development improvements
Collaborate with stakeholders to drive insights that will help produce monetization and retention improvements
Recommendations based statistical analysis of data.

an automated AI-based predictive analytics platform. It simplifies and accelerates the process of building and deploying predictive models in various business use-cases, such as life-time value, Churn, demand forecast and more. connects to the raw data and completely automates the data preparation, engineering and prepossessing phases, as well as the model training and evaluation lifecycle. It was acknowledged as one of Israel's 50 most promising startups two years in a row.

Company Highlights:
Series C company with over $117M raised to date. Tier-1 investors: Google Ventures (GV), Insight Partners, GGV, Dell Ventures, Mindset and S Capital.
90+ employees and growing very quickly
HQ in Tel Aviv with growing sales and marketing organization in the US
Customers across CPG, retail, healthcare, mobile apps, fintech, insurance, and consumer services. Marquee customers include Johnson & Johnson, Nestle, and SciPlay.
The Data Analyst is a part of the Customer Success team, which is responsible for all of our clients, starting from the POC stage and through deployment in production environments. The CS team assists our clients in the design, planning, and implementation of predictive analytics programs. We are looking for an enthusiastic and client-focused data analyst.

What You'll Do

As a data analyst, you will work at the forefront of the data world, by creating and optimizing predictive models and assisting our clients to use those predictions to affect their business and generate value.

Together with the team, you will be continuously helping our clients achieve their business goals and reinforce the value. You'll assist in covering data and technical aspects of integrating clients systems with our predictive analytics platform.

Typical tasks of the position are:

Collaborate with the clients business stakeholders, gather technical requirements, and understand the need for predictive models.
Analyze large volume of data sets using different coding languages as SQL and Python.
Analyze the models outputs and explain complex concepts in simple words.
Collaborate with clients teams and translate business needs to data solutions.
Be the data and technical point of contact for our clients, and understand their needs.
Develop tools and data research to improve the quality of predictions.

We have a growth opportunity for a highly motivated Data Quality Analyst. To excel in this role, you will have strong analytical skills, high attention to detail, and outstanding communication. You have a strong sense of personal ownership in maintaining high-quality data assets essential for informed decision-making and operational efficiency. You love data.

Responsibilities include:
Designing and implementing Power BI solutions.
Help onboard new data consumers and orient them to Power BI.
Perform data quality audits, identify data collection issues, suggest improvements, and help implement fixes.
Support the documentation and implementation of data quality policies, standards, procedures, definitions and dictionaries.
Establish standardized data loading templates and proceses.
Validate data loads, cleanse or reject, and load into Salesforce within an SLA.
Light Salesforce admin duties like onboarding and offboarding users.

We are looking for an experienced Data Analyst to work with us to drive insights and create stronger visibility in the organization. You will join an innovative, high-performance team and work with cutting-edge technologies in a dynamic environment.
What you'll be doing:
Build Specialization-specific operational dashboards.
Develop an analytics framework in collaboration with business process improvement and operations management.
Quarterly planning and roadmapping in collaboration with operations management and product team.
Write monthly Specialization-specific performance reports; written reports should show methodology with detailed statistical analysis, a summary of key findings, and recommendations.
Incubate, operationalize, and streamline Product launches; including Friction Optimization to improve user experience.

we are a strategic consulting and business intelligence firm based in Tel Aviv looking for an Intelligence Analyst.
Responsibilities:
* Conduct in-depth research and analysis, collaborating with cross-functional teams to communicate complex findings effectively
* Develop innovative OSINT and WEBINT methods, staying up to date on the latest trends and investigative techniques
* Operate and maintain cutting-edge technological systems, implementing investigative findings across various sectors
* Be part of a leading team, holding top-to-bottom responsibilities

Required Product Analyst
As a Product Data Analyst, you'll play a crucial role in shaping our product roadmap. We're looking for a passionate analyst who is comfortable with analytics, someone who understands how to use large data sets to solve real-world business problems. Someone who thrives on providing technical expertise to quickly deliver insights to the business. We view this role as a trusted advisor to our internal business partners to help them make decisions around strategy, priorities, and tactics.
This will involve:
Collaborating closely with multiple cross-functional teams including product managers, data engineers, business intelligence analysts, product engineering, product marketing and strategy.
Recommending and executing analytics projects - ranging from exploratory data analysis, descriptive statistical methods, experimentation, multi-variate testing and conducting user research.
Ensuring our product feature instrumentation is aligned towards company and product goals, is aligned to best practices and data governance standards.
Quantifying and easily communicating the drivers of business performance to senior leaders. Advising them on ways to change outcomes through recommended calls-to-action, operational and strategic changes.

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