לוח משרות דרושים Data Analyst

we are looking for a Senior Data Analyst
Responsibilities
Build data products driven by complex analysis, using Python, PySpark, BigQuery, Tableau, etc.
Full project ownership from report requirements to execution
Build production grade data products that fit customer needs
Developing fully reproducible pipelines for reports including core logic, ETLs
Packaging analysis results in a compelling way to tell the best story for the use case
Work closely with R&D, other Data Analysis teams and Data Science teams to ensure the optimal solution is built in terms of logic and infrastructure
Work closely with business and product teams to collaborate on innovative solutions for product gaps

The Senior Data Analyst position is a vital role within our Data Ingestion R&D department, primarily focused on ongoing research and model building for the company's data ingestion part of the product.

This dynamic role involves conducting in-depth research, focused on mobility and point of interest (POI) data. As a key contributor to our data analytics team, the Senior Data Analyst uses big-data technologies & statistical methods to transform location data into actionable insights, fine-tune models and optimize data pipelines.

RESPONSIBILITIES:

Conduct comprehensive data analysis, utilizing statistical techniques, to uncover valuable insights, patterns, and trends related to core algorithms in our product
Design, develop and maintain data pipelines using Apache Airflow, ensuring a timely and reliable generation of critical reports
Translate technical findings into actionable recommendations that support strategic planning and business optimization
Evaluate new potential data sources, assess added value and recommend if to integrate with the product
Leverage advanced technologies such as Python, SQL and PySpark for efficient data manipulation, analysis and modeling
Work closely with R&D and Data Science teams to ensure the optimal solution is built in terms of logic and infrastructure
Work closely with product teams to collaborate on innovative solutions for product gaps

The Delivery Analyst is responsible for creating and delivering reports based on customers needs and requirements. Each report is reviewed, processed, and delivered to customers, using various sources and tools, including GIS tools (ARCGIS, QGIS). The Delivery Analyst ensures data integrity and quality of all deliveries ensuring accuracy and compatibility with highest standards.



RESPONSIBILITIES:

Deliver customer data projects, organize them and meet deadlines
Verify accuracy and sort information to prepare source data for further analysis
Work with geographical data using GIS systems to ensure geo-data accuracy
Review large sets of data for discrepancies/deficiencies, correct any incompatibilities and check output
Interact with various teams, including Product, Data Entry, Sales, R&D and more!

The Delivery Analyst is responsible for creating and delivering reports based on customers needs and requirements. Each report is reviewed, processed, and delivered to customers, using various sources and tools, including GIS tools. The Delivery Analyst ensures data integrity and quality of all deliveries ensuring accuracy and compatibility with highest standards.



RESPONSIBILITIES:

Deliver customer data projects, organize them and meet tight deadlines
Verify accuracy and sort information to prepare source data for further analysis
Work with geographical data using GIS systems to ensure geo-data accuracy
Review large sets of data for discrepancies/deficiencies, correct any incompatibilities and check output
Interact with various teams, including Product, Data Entry, Sales, R&D and more!

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.
We are looking for a Data Annotation Manager to join our R&D team and manage a team of data taggers responsible for tagging and labeling data for machine learning models.
A day in the life and how you’ll make an impact:
* Managing a team of 8 data taggers in Israel and overseeing a team of data validation in the US.
* Ensure that the data is accurately tagged and labeled.
* Ensure that the team is meeting its goals and deadlines.
* Managing an outsourced team that's performing the scale data tagging and labeling.
* Work with the data science team to ensure that the data is being used effectively.
* Develop and implement processes to improve the efficiency and accuracy of the data tagging process.
* Train new team members on the data tagging process.

we believe in nurturing talent and providing opportunities for growth. If you have a passion for data science and want to kickstart your career in this exciting field, our Intern Data Scientist position is the ideal opportunity for you. As an intern, you will have the chance to work side-by-side with our team of experienced data scientists, learning the ins and outs of data collection and model evaluation techniques in the emerging field of Large Language Models. The position is between 3-4 days a week for a period of 3 months with an option to extend.

Do you look at websites and think about how they might be personalized? Do you use websites and apps and think about how their features have been designed to be best for a lot of different users? Do you read articles with statistics and think about how they may be misinterpreting the data to get their results? If these things describe you, and if you’re great at SQL and have experience analyzing website data, you’re someone we want to talk to. We’re 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, we’re 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 haven’t measured or used new ways to explain user retention, or analyzed features of users data that we haven’t analyzed.
The best thing about our work is that we’re part of an incredibly data-driven company. Everyone from the CEO down uses data every day. The data teams are involved in every single thing the company does.
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

we are a rapidly-growing mobile gaming startup located in central Tel Aviv. Were now looking for an Analytics hawk to soar with our team! Our massively popular gaming app is enjoyed by millions of people from around the world who experience the fun of playing live with friends and connecting with new ones! If youre an eagle-eyed, sharp, intelligent, data -driven analyst, with a love for stats and numbers, wed love to talk! The role will involve answering challenging inquiries for the company's diverse teams (Product, Marketing, etc.) and making sense of data! An essential part of the role requires being consistently curious by data, trying to understand it best and aiding in data -driven solutions across the company.
Responsibilities:
* Managing master data, including creation, updates, and deletion
* Analyzing large and at times complex data sets of user engagement and ultimately come up with decisive data -driven understanding that can aid in executing business decisions
* Provide clear recommendations through analytic conclusions that ultimately affect game features, monetization decisions, game economy, etc.
* Build and maintain reports, dashboards and metrics to monitor product performance
* Helping develop reports and analysis
* Plan and analyze effective A/B tests in order to improve business KPIs
* Develop a deep understanding of company products to meet the company's current and future goals
Advantages:
* Experience with the gaming industry Strong advantage.
* Experience with Product Analytics tools
*  Python knowledge.
* Experience in building ML Models.
* Experience working in Scrum.
* Passion for games