דרושים » תוכנה » Business Analyst

Requirements:
5+ years of experience as a business\data analyst in a B2C company.
2+ years of experience in leading analytics teams.
B.A. / B.Sc. in Industrial Engineering, Math, Statistics, Computer Science or an equivalent background.
Proficient SQL with 5+ years of experience in analyzing large & complex datasets.
Experience with BI Visualization tools (Tableau/Looker/Qlikview, etc.).
Experience with Python (Pandas, SciPy, NumPy, Matplotlib, Seaborn) an advantage.
Thrive in an environment of a fast-growing startup.
Ability to turn complex concepts into actionable recommendations.
A true passion for understanding consumers social gaming behavior.

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:
BA/B.Sc. in Statistics / Math / Engineering / Economy or other quantitative fields
High-level analytical and problem-solving skills with strong attention to details
Excellent communication skills someone who can turn complex concepts into actionable recommendations
A true passion for understanding consumers' social gaming behavior and tolerance for ambiguity
Advanced Excel knowledge, including data manipulation, etc
You get bonus points for:


A strong interest in games
Strong SQL experience that includes querying large and complex data sets
Previous analytical work experience, preferably in the Gaming industry
Advanced knowledge in statistical tools and models (R, SAS, Python)
Experience in BI tools such as Tableau and Looker
ML knowledge

Requirements:
4+ years experience as a Business Analyst/ Data Analyst/ RevOps analyst
Experience from a B2B SaaS company a huge advantage
Exceptional analytical and problem-solving skills, with great attention to detail
Excellent Excel and SQL proficiency
Experience with data visualization platforms (e.g. Looker, Tableau, Power BI, Etc.)
Experience working with B2B Sales teams advantage

Requirements:
-minimum of 3 years in a B2C website-related data Analyst position
-Strong SQL skills with experience writing complex and efficient analytical queries
-Excellent English communication skills, both written and verbal
Demonstrated experience with working in English directly with business stakeholders, understanding their needs, and explaining results
-Experience with data visualization tools (Looker/Tableau/PowerBI)
-Understanding of website development and operations and how they connect to data gathered.
-Advantage - Looker
* -Experience with report writing and technical requirements analysis, business process modeling/mapping, methodology development, and data modeling

Requirements:
3+ years of proven experience as a Data or Business Analyst
Proficient level of SQL - required
Experience working with BI/Analytics tools ( Looker, Tableau, Periscope) and Excel - required
Experience working with a product intelligence tool (Amplitude, Mixpanel) - advantage
Experience working with Salesforce and other GTM tools (Hubspot, Planhat, ChurnZero) - advantage
Deep understanding of business metrics, as well as a strong overall business sense
Strong analytical and problem solving skills
Curious, independent, organized, proactive, with strong attention to detail
Ability to tell a story and present the results in a clear and interesting way
Team player with excellent communication skills
Fluent English.

Requirements:
Educational Background: Bachelors degree in Mathematics, Economics, Computer Science, Information Management, Statistics, or a related field.
Experience Requirements: At least 2 years of experience in a data analysis role, preferably in a B2B SaaS company.
SQL Proficiency: Strong command of SQL for complex querying, data manipulation, and analysis.
Business Intelligence Tools Expertise: Demonstrated experience with BI tools such as Looker, Tableau, and other similar platforms. Ability to leverage these tools to derive business insights and drive decision-making.
Excel Mastery: Proficient in Microsoft Excel with a strong understanding of advanced functions, data visualization, and spreadsheet modeling for data analysis purposes.
Preferred Skills:
Excellent problem-solving skills and the ability to communicate complex data clearly and concisely.
Experience in managing large datasets and creating strategic insights from data.
Ability to work independently and in a team-oriented, collaborative environment.

Requirements:
Reach out if you have:
3+ years of work experience in data analysis, product analytics and cybersecurity data research.
Background in data analysis in a cybersecurity context and company.
Advanced knowledge and proficiency in SQL.
Strong statistical foundations. High proficiency in Excel/Google Sheets, Elastic and Kibana.
Experience working with BI tools (Looker, Tableau, Redash etc.).
Programming experience in Python.
Experience in product analytics tools and methodology, instrumenting the product, data modeling, events and funnel tracking and proven ability to drive product insights.
Experience working with analytics tools like Mixpanel, Amplitude, Pendo, etc.
Excellent multitasking and problem-solving abilities. Accuracy and attention to detail.
Strong communication skills and excellent English.
Superb data storytelling ability to influence audiences at all levels, including executive leadership.

Advantages:
Experience with Rational DBs and Data Warehouses (e.g. MySQL, PostgreSQL, Redshift, Snowflake).
Basic knowledge in HTML, CSS, JavaScript, etc.
Knowledge of cyber security compliance frameworks (e.g GDPR, PCI-DSS, NIST CSF).

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:
* 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.