דרושים » תוכנה » Senior Data Analyst

Requirements:
3+ years of experience in data Analysis and interpretation (Marketing/ Business/ Product).
High proficiency in SQL.
Experience with data visualization of large data sets using BI systems (Sisense, Tableau, Looker, etc).
Experience working with data warehouse/ data lake tools such as Snowflake/ Athena/ Redshift/ BigQuery.
Knowledge of Python.
Experience building ETL processes- An advantage.
Knowledge/ Experience in ELK stack and Grafana - An advantage.
High level of English.
Ability to make data -driven decisions and apply them to facilitate performance optimizations.
Able to work in a dynamic environment and with tight deadlines.

Requirements:
3-5 years of relevant experience, ideally in SaaS or a tech environment
Must be highly detail-oriented and organized
Proficiency in SQL, Python, R, or other programming languages for data analysis and manipulation
Strong analytical skills with the ability to translate complex data into actionable insights.
Experience working with data visualization platforms including Tableau, PowerBI, or Google Data Studio
Strong communication, project, and time management skills with the ability to multitask in a fast-paced environment
Deep knowledge of statistical methods, hypothesis testing, and experimental design.
Proactive in offering recommendations, going above and beyond, and thinking three steps ahead.

Requirements:
BA/BS or equivalent related experience in statistics, data analysis, data mining
1+ years of analytical work experience in a data analysis / BI position, preferably in a high data-rich environment
Strong hands-on experience with SQL
Self-motivation to lead a product domain
Self learner, curious individual
Ability to multitask & work on several projects at a time
Strong communication skills and excellent English
Advantage:
Experience in creating data visualizations and working with BI tools (preferably Tableau)
Python, R or any other scripting language advantage
Statistical knowledge and experience using statistics to analyze datasets advantage
Experience in a product analyst position or as an analyst in a product oriented team big advantage.

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:
Leadership:
3+ years of managerial experience leading data analytics teams
Proven analytical expertise in the online B2C industry
Strong team player
Excellent communication skills, capable of presenting analysis results clearly and effectively
Tech Requirements:
4+ years of broad hands-on data domain experience in BI/Data Analysis
Experience setting up and working with Google Analytics
Proficient in SQL
Adept at working with large data sources and skilled in data extraction, cleaning, and merging
Experience building dashboards and visualizations with at least one of the following tools: Looker, Qlik Sense, Power BI, Tableau
Familiarity with Big Data Cloud pipelines, tools, and data modeling
Familiarity with GCP an advantage

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:
* Bachelors degree in Engineering, Math, Science, Economics or related field.
* At least 2 years experience in Business/ data Analytics, preferably in B2C company on large amounts of mobile data.
* Very Strong knowledge of SQL!
* Working with very large and complex data sets.
* Extensive Experience with at least 2 of the following Databases MySQL, PostgeSQL, BiqQuery, SQL server, Vertica.
* Experience building dashboards and KPIs with BI reporting tools.
* High attention to detail.
* Excellent teamwork skills and the ability to work independently.
* Problem solver, passionate about improving things.

Requirements:
Bachelors degree in Engineering, Math, Science, Economics or related field.
At least 2 years experience in Business/Data Analytics, preferably in B2C company on large amounts of mobile data.
Very Strong knowledge of SQL!
Working with very large and complex data sets.
Extensive Experience with at least 2 of the following Databases MySQL, PostgeSQL, BiqQuery, SQL Server, Vertica.
Experience building dashboards and KPIs with BI reporting tools.
High attention to detail.
Excellent teamwork skills and the ability to work independently.
Problem solver, passionate about improving things.
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

Requirements:
2+ years of hands-on experience in data analytics
Strong SQL skills and experience in querying large, complex data sets
Experience with BI/Data Visualization Tools (Tableau - a big advantage)
Excellent communication skills, including the ability to present complex data and insights in a clear and concise manner
Sheer curiosity to unearth the hidden secrets within vast datasets
Experience at a leading internet company - an advantage
Knowledge of A/B testing and hypothesis testing - an advantage
Experience using Python / R for statistical analysis - an advantage
University degree - preferably B.Sc., graduated magna cum laude with outstanding grades or performance /a high psychometric score (or equivalent).