Requirements:
At least 4 years of proven experience as a BI Engineer, Data Engineer, or Data Analyst.
In-depth knowledge of data modeling principles and practices.
Proficiency in writing complex SQL queries and optimizing database performance.
Strong analytical and problem-solving skills.
Experience with Snowflake, including data warehousing, optimization, and query performance tuning.
Excellent communication and collaboration abilities, with a demonstrated ability to work in a dynamic and fast-changing environment.
Preferred Skills:

Hands-on experience with dbt and version control systems.

Requirements:
* 5+ years of experience in data analysis
* Bachelor’s degree in Data Science, Statistics, Computer Science, or a related field.
* Strong proficiency in SQL for complex querying and data manipulation.
* Experience with data visualization tools, particularly Looker , is highly desirable.
* Experience in data modeling, ETL development, and data warehousing.
* Ability to work in a fast-paced environment and manage multiple projects simultaneously.
* Experience in Python - an advantage.
* Experience in Airflow - an advantage.
* Ability to understand complex ideas and simplify them to relevant stakeholders

Why UVeye: Pioneer Advanced Solutions: Harness cutting-edge technologies in AI, machine learning, and computer vision to revolutionize vehicle inspections. Drive Global Impact: Your innovations will play a crucial role in enhancing automotive safety and reliability, impacting lives and businesses on an international scale. Career Growth Opportunities: Participate in a journey of rapid development, surrounded by groundbreaking advancements and strategic industry partnerships.

Requirements:
Education: Bachelors degree in Applied Mathematics, Social Sciences, Information Systems, or related field. Advanced degree or relevant certifications preferred.
Experience: Minimum of 3-5 years of experience in business analysis, data analysis, or related fields. Experience in the software industry or SaaS environment is highly desirable.
Analytical Skills: Strong analytical and problem-solving skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy.
Technical Proficiency: Proficient in SQL, Excel, and data visualization techniques. Experience with cloud data technology, database querying and data modeling techniques.
Business Acumen: Deep understanding of business processes, product growth, adoption and marketing strategies.
Communication Skills: Excellent verbal and written communication skills with the ability to effectively communicate complex ideas and findings to both technical and non-technical stakeholders. Comfortable engaging with senior leadership and providing data-driven recommendations.
Collaboration: Proven track record of collaborating with cross-functional teams including developers, product managers, and business stakeholders to drive successful project outcomes.
Adaptability: Ability to thrive in a fast-paced, dynamic environment with shifting priorities and tight deadlines. Flexibility to adapt to changes and willingness to learn new technologies and methodologies.
Problem-Solving: Demonstrated ability to identify, analyze, and solve complex business problems using data-driven insights and methodologies such as root cause analysis and process improvement techniques.
Project Management: Experience with project management methodologies (e.g., Agile, Scrum) and tools (e.g., JIRA) to effectively manage project timelines, resources, and deliverables.
Attention to Detail: Meticulous attention to detail and commitment to delivering high-quality work products, reports, and presentations.
Strategic Thinking: Ability to think strategically and anticipate future business needs, trends, and opportunities. Proactive approach to identifying and implementing innovative solutions.

Requirements:
2+ years of experience as a Data Analyst in a gaming company -A MUST
BA/B.Sc. in Statistics / Math / Engineering/ Economy or another quantitative field
A methodological approach for data with the ability to present the data clearly and efficiently to support business decisions
Excellent mathematical and analytical skills
Excel/Google spreadsheet skills
Proficient with SQL
Experience with Tableau or similar analytical tools
Ability to query data in order to evaluate ongoing player behavior and interests in relation to game features
Ability to effectively communicate data results and related conclusions
Team-player with excellent initiative and motivation
Great organizational and problem-solving skills.

Requirements:
3+ years experience as a data/product/business analyst, preferably within a fast-growing consumer company
Degree in Industrial Engineering, Mathematics, Statistics, or a related field
Experience working with SQL
Experience working with BI tools (Looker, Tableau, Mixpanel etc.)
Data-driven, familiar with A/B testing best practices, and adept at working with large data sets
Comfortable working with product managers, as well as data engineering and data science teams, and proficient in presenting technical information in English
Ability to work in an office environment a minimum of 3 days a week
Enthusiasm about learning and adapting to the exciting world of AI a commitment to exploring this field is a fundamental part of our culture.

Requirements:
3+ years of experience in a data analytics role, preferably within a fast-growing consumer company
Bachelors degree in Mathematics, Statistics, Computer Science, or a related field
Proficiency in SQL is essential; knowledge of statistical modeling is preferred
Familiarity with digital and offline marketing platforms is strongly preferred
Hands-on experience with modern data analytics stack (e.g. Snowflake, dbt, Looker) and common MarTech tools (e.g. Google Tag Manager, Google Analytics, Appsflyer) is a definite plus
Strong communication skills and ability to collaborate effectively with others
Ability to work in an office environment a minimum of 3 days a week
Enthusiasm about learning and adapting to the exciting world of AI a commitment to exploring this field is a fundamental part of our culture.

Requirements:
Master's degree (or higher) in Mathematics, Statistics, Engineering, Computer Science, or any other quantitative field.
5+ years of practical data experience in big data businesses.
2+ years of experience managing a multidisciplinary data department including Analytics, Data Science and Data engineering teams.
2+ years of experience in a B2C
Strong understanding of ML, statistics and hands-on experience with SQL, Python, and data visualization tools.
Excellent analytical skills with experience in querying large, complex data sets.
Strong familiarity with cloud based DWH like BigQuery / Snowflake / Redshift - an advantage.
2+ years of experience in managing team leads - an advantage.
Self-learner, multi-tasker, able to work independently, highly organized, proactive, and a problem-solver.

Requirements:
3+ years of experience as a Business / Rev / Sales / Management Analyst in a SaaS or high-growth tech company. Focusing on rep performance tracking, commission analysis, and headcount planning is an advantage.
Strong analytical skills with the ability to present data clearly and efficiently to support business decisions.
High proficiency in SQL and Excel/Google Sheets.
Experience in data visualization and working with data visualization tools (Power BI is an advantage).
Ability to tell the story and present results clearly and engagingly, both in written form and presentations.
Strong written and verbal communication skills, including the ability to communicate with senior management and explain insights and recommendations in non-technical language.
Highly detail-oriented, proactive, ambitious, and enjoys solving complex problems with strong interpersonal skills.
Proven ability to design and implement efficient operational processes using tools like Salesforce.
Self-motivated with strong learning capabilities; curious, proactive, ambitious, loves solving complex problems, and is excited to help others and share success.
Fluent in English.
BA/B.Sc. in Industrial Management, Economics, Management, or a related field.

Requirements:
Proficient level of SQL - MUST
3+ years of experience as BA Analyst/ Data Analyst/ Product Analyst
Experience working with BI/Analytics tools (e.g. Looker, Tableau, etc)
Deep understanding of numbers, as well as a strong business sense. Know when to use a single number and when to build a complex model to gain insight
Experience in creating data pipelines, KPIs, reporting, and data models and a holistic understanding of measurement and influencing decisions through data
Ability to tell the story and present the results in a clear and interesting way
Great communicator with a strong ability to build relationships with a diverse set of stakeholders
Experience executing multiple concurrent projects
Assertiveness
Play Well with others
Hunger to learn
Proactive/Ownership

Requirements:
3+ years hands-on experience as a data or business analyst.
Expert SQL skills.
Experience in working with EasyQuery, PowerBI, Looker and Tableau (or similar tools).
Experience with Python (Pandas, Numpy, scikit-learn) An Advantage
Analytical and detail oriented; quick-thinker, fast learner, problem solver.
Ability to form strong, meaningful, and lasting connections with others, enabling smooth and continued collaborative relationships.
Startup mentality A Must.