דרושים » תוכנה » E-Commerce Systems Business Analyst - Israel

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.

Required data Management and AI Specialist
The data Management and AI Specialist will be responsible for creating and maintaining advanced functions and formulas in Google Sheets. Additionally, this role requires expertise in integrating and working with various AI tools to create custom scripts and enhance the functionality of our Google Sheets applications.
Through data analysis, identify opportunities for process improvement and optimisation to streamline operations.
Key outcomes of the role:
Develop, TEST, and implement advanced functions and formulas in Google Sheets
Create, modify, and maintain custom scripts using Google Apps Script
Integrate AI tools to enhance Google Sheets functionality
Troubleshoot and resolve issues related to Google Sheets and associated scripts
Collaborate with team members to understand requirements and provide effective solutions
Document processes, scripts, and user guides for developed solutions
Stay updated with the latest features and updates in Google Sheets and AI tools
What's in it for you?
There are many reasons to come on board our team of talented professionals, but here are just a few
We are collaborative, fair, consciously inclusive, and flexible
We trust, value, and support our people to make the difference
We believe that diversity of thought and experience provides the platform for innovation and creativity
We invest in the development of our people to drive our ambitions forward
We offer a range of benefits (including your choice of tech) and a competitive package
We offer a great work environment in an internationally successful enterprise in the online services industry.
If you need assistance completing an application for a position with us or need us to make any reasonable adjustments, please reach out to our Recruiting Team.

Required Survey Research Analyst
Tel Aviv, IL
Full-time
What is the role?
Our surveys help state and local governments understand and respond to the needs of their residents. Our research enables clients to effectively tackle many of their most critical challenges in areas such as infrastructure spending, economic development, and police transparency. With the insights from these surveys, leaders are able to make more informed decisions and deliver better results for their communities.
As a Survey Research Analyst, you will create customized survey solutions for our clients, from project planning and questionnaire design through data analysis and reporting. You will also help to develop the next generation of our survey research tools and methods and make innovative and high-quality surveys more scalable through automation and productization. As part of a fast-growing organization, youll also have plenty of opportunities to build new skills and help shape the direction of the product in the years to come.
Responsibilities:
Work closely with the Customer Success team to determine client needs and deliver on end-to-end survey projects
Write and customize questionnaires to measure residents beliefs, opinions, attitudes, and behaviors on local and national issues
Process and analyze survey results to inform clients decisions
Create and deliver customers reports, presenting survey findings and recommendations
Collaborate with other team members in developing best practices, testing new research methods, and creating tools to streamline the survey process
Collaborate with the product and R&D teams to support the development of our survey product.

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

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 are looking for a Business Analyst- Customer Facing who will be responsible for the assessment of games and marketing campaigns.

A key aspect of the role will be a collaboration with the games team in analyzing new games performances and with the marketing team in designing engaging campaigns that can be measured and conducting the pre-campaign analysis and cost estimations.

He\She will be providing valuable insight into customers behavior at different stages of their relationship with the company, making recommendations on relationship strategies for different customer segments, and helping to initiate and implement CRM initiatives that will boost brand and customer loyalty.
What You'll Do:
Analyze the success of games in iGaming sites, including performing benchmarking analysis.
Collaborate with the marketing team in the design of engaging campaigns that can be analyzed and conduct pre-campaign analysis.
Deliver customer insights and make recommendations by performing post-campaign analysis.
Provide timely and accurate monthly reporting of KPI.
Partner with cross-functional stakeholders to develop and execute campaigns that optimize customer loyalty and lifetime value.
Provide support for the development of predictive models, customer segmentation studies, and reports.
Understand performance and explain the story behind the numbers, prepare data sets for the analysis by querying multiple data sources.
Define and implement measurement strategies producing meaningful marketing KPIs and reports with actionable insights/actions.
Identify opportunities to improve business/marketing performance Manage Snr. Stakeholder Expectations.
Answer business questions using data and analytic techniques, providing fact-based responses.
Data preparation: define, transform and structure data so that the data is ready for analysis.
Create new measures and dimensions within the data as needed to solve the problem at hand.
Find and implement analytical approaches to decision making optimization.
Demonstrate the value of your analytical outputs in terms of decision-making improvement.
Educate business users and leaders on how to measure performance.
Look for ways of working with the rest of the BI team to fully automate where the same analysis needs to be repeated weekly or periodically.

We are looking for a Customer Operations Engineer.
As Customer Operations Engineer, you'll work closely with customers and the engineering team to solve any technical challenges.
You will become knowledgeable about the customers user journey to make it more efficient and organized while achieving the Customer Operations goals.
You will also oversee every code release and implement systems to improve the efficiency of the team.
What Will You Do:
Work very closely with our top customers to make sure that they gain value and value-realization from our product and are satisfied with the overall service we provide.
Be the focal point for any technical-related matter, and progress and own the outcome until fulfillment according to customer's needs.
Participate in the proactive monitoring of customers environments via various monitoring tools and participate in the teams on-call rotation.
Be part of the customer's onboarding process and assist them with ongoing usage.
Partner with sales on accounts planning and proactively identify technical opportunities for expansion.
Define timelines, milestones and success criteria, while ensuring that they are successfully achieved.
Advocate internally for customer needs be the technical voice of the customer .
Contribute on an ongoing basis to our technical documentation.

Were looking for a sharp Product Data Analyst whos infinitely curious when it comes to leveraging data to solve product and business problems.
Youll be a part of the Analytics team and will spend your day-to-day tackling analytical questions and monitoring metrics. In order to succeed, youll need to demonstrate strong capabilities at modeling complex data, uncovering patterns, and delivering data-driven insights.
In this role youll:
Collaborate with members of the Analytics, Product, and Data teams to improve business decisions using data
Conduct A/B testing on our flow and processes in order to build state-of-the-art products
Initiate analyses and generate reports to assist with feature tracking, experiments, and product/platform health monitoring
Extract and analyze data using different data platforms (Snowflake, Python, etc.)
Present key findings to stakeholders across the company in order to drive business and product decisions
Explore new and unmapped data domains that can push our product forward.

The data Management and AI Specialist will be responsible for creating and maintaining advanced functions and formulas in Google Sheets. Additionally, this role requires expertise in integrating and working with various AI tools to create custom scripts and enhance the functionality of our Google Sheets applications.
Through data analysis, identify opportunities for process improvement and optimisation to streamline operations.
Key outcomes of the role
Develop, TEST, and implement advanced functions and formulas in Google Sheets
Create, modify, and maintain custom scripts using Google Apps Script
Integrate AI tools to enhance Google Sheets functionality
Troubleshoot and resolve issues related to Google Sheets and associated scripts
Collaborate with team members to understand requirements and provide effective solutions
Document processes, scripts, and user guides for developed solutions
Stay updated with the latest features and updates in Google Sheets and AI tools
 
What's in it for you?
There are many reasons to come on board our team of talented professionals, but here are just a few
We are collaborative, fair, consciously inclusive, and flexible
We trust, value, and support our people to make the difference
We believe that diversity of thought and experience provides the platform for innovation and creativity
We invest in the development of our people to drive our ambitions forward
We offer a range of benefits (including your choice of tech) and a competitive package
We offer a great work environment in an internationally successful

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.