דרושים » תוכנה » Monetization Data Analyst

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:
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:
A minimum of 2 years of experience in ad monetization, specifically within the mobile gaming or digital entertainment industry.
Proven track record of developing and implementing successful ad monetization strategies that have led to revenue growth and improved user experience.
Strong analytical skills, with the ability to analyze data, identify trends, and make informed decisions.
Familiarity with ad network platforms, programmatic advertising, and the latest ad technologies designed for mobile gaming.
Experience with A/B testing, user segmentation, and data analysis tools to drive strategy decisions.
Excellent collaboration and communication skills, with a proven ability to work effectively across teams, including monetization, marketing, product development, and design.
A deep understanding of the mobile gaming market, player behavior, and preferences.
Bachelors degree in Marketing, Business, Economics, or a related field is preferred.
A passion for gaming and a commitment to creating engaging experiences for users.

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:
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:
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 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:
-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:
Requirements:
Minimum of 4 years of experience in business analysis, product analysis, or a related field.
At least 4+ years experience in B2C or 2+ years in Gaming Industry analyzing large datasets centric role.
B.A. / B.Sc. in Industrial Engineering, Math, Statistics, Computer Science or an equivalent background.
Strong SQL with experience in querying large complex data sets - must have.
Experience with BI Visualization tools (Tableau/Looker) - must have.
Vast knowledge in A/B testing including statistical methods.
Work experience analyzing large datasets in an Analytics / Product / Monetization centric role- Advantage.
Experience with Python (Pandas, SciPy, NumPy, Matplotlib, Seaborn) Advantage.

Soft Skills Requirements:
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:
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.