Salesforce Business Analyst jobs in Israel

• High-growth: Over the past six years, we’ve consistently achieved milestones that take other companies a decade or more. During this time, we’ve significantly grown our employee base, expanded our customer reach, and rapidly advanced our product capabilities.
• Disruptive innovation: Our founders saw that traditional security didn’t work for the cloud, so they set out to carve a new path. We’re relentless pioneers who invented agentless technology and continue to be the most comprehensive and innovative cloud security company.
• Well-capitalized: With a valuation of $1.8 billion, Orca is a cybersecurity unicorn dominating the cloud security space. We’re backed by an impressive team of investors such as Capital G, ICONIQ, GGV, and SVCI, a syndicate of CISOs who invest their own money after conducting their due diligence.
• Respectful and transparent culture: Our executives pride themselves on being accessible to everyone and believe in sharing knowledge with the employees. Each employee has a place in shaping the future of our industry.

As a Product & Data Analyst at Orca, you will take ownership of product analytics at Orca, along with responsibility over our BI infrastructure. You will help product teams make smarter decisions by uncovering customer insights, while also ensuring the data pipelines and models that power those insights are robust and scalable.

In this role, you will work directly with Product Managers to analyze customer behavior, evaluate new features, and measure product impact. You’ll also take responsibility for the underlying data stack-writing SQL, modeling in DBT, and maintaining clean, efficient ETLs. Beyond supporting day-to-day product questions, you will build dashboards and reporting tools that give teams across the company access to reliable, self-serve insights.

• 3-5 Years of experience as a Data Analyst, preferably from a SaaS company
• Proven experience in SQL writing, specifically in querying large and complex data sets
• Experience in BI tools and in DBT/Python
• Looker proficiency – an advantage
• Ability to translate analytic conclusions to business insights and actions along with strong statistical analysis skills and self-learning capabilities
• B.Sc./BA in industrial/information systems engineering, statistics or equivalent
• Experience in operational or cross-department roles – an advantage
• Great communication skills
• Business orientation and a passion for data analytics
• High level of spoken and written English

, Consumer services and Marketplace tools.

As a Product Analyst, you will go beyond the numbers—defining, analyzing, and translating data into actionable insights about our business, users, and product features. You’ll also design and analyze both randomized and non-randomized experiments to optimize performance.

You’ll work closely with , and stakeholders from other business units to drive key product decisions and shape the product strategy and roadmap.

Key Responsibilities

• Conduct quantitative research to drive product recommendations, including cohort analysis, user personas, behavioral segmentation, forecasting, and impact analysis
• Design and analyse randomised and non-randomised experiments to optimise product performance and understand user behaviour
• Collaborate with cross-functional stakeholders to identify business needs and execute end-to-end analytical projects.
• Deliver clear, effective presentations of insights to stakeholders at all levels, using visual representations of data.
• Develop and automate reports; build and refine dashboards to provide scalable insights for multiple stakeholders.
• Analyze our strategic position against competitors and provide insights that drive value and support our vision.
• Define key metrics, analyze usage patterns, and solve challenges that hinder progress toward objectives and key results (OKRs).Lead independent research and develop new analytics methods during dedicated weekly project time.

• 3+ years as a product analyst or business analyst — Must
• BA graduate in Statistics/ Mathematics/ Computer Science/ Industrial Engineering/ Economics
• Excellent knowledge of SQL — Must
• Experience with Python or R — Must
• Knowledge of statistics - Must
• Experience and deep understanding of AB tests and the maths behind it — Must
• Experience with Mixpanel or Amplitude - Nice to have
• Experience working with BI-tools
• Strong data visualisation skills — ability to effectively communicate performance and business impact to the broader business
• Ability to ask the right questions and use both quantitative and qualitative metrics to answer them
• Experience in translating analysis results into product recommendations and business questions into an analysis framework
• Sharp communicator and a confident presenter
• Experience with B2C mobile apps, Marketplaces, SaaS Platforms, and B2B products — advantage
• English proficiency — Must
• Knowledge of Econometrics or Machine Learning - an advantage
• Fluency in Hebrew and Russian - an advantage

• Bachelor’s degree or equivalent practical experience.
  
• 10 years of experience troubleshooting technical issues for internal/external partners or customers.
• Experience in an analytical role such as business intelligence, data analytics, or statistics.
• Experience in either system design or reading code (e.g., Java, C++, Python).
• Experience with cloud technologies such as architecting, developing, or maintaining cloud solutions in virtualized environments or cloud data engineering.

• 15 years of experience working with client-side web technologies (e.g., HTML, CSS, JavaScript, or HTTP).
• Experience in technical leadership, including experience leading business transformation initiatives.
• Experience working with database technologies (e.g., SQL, NoSQL).
• Experience using Machine Learning and building solutions.
• Experience working with systems (e.g., Linux, Unix).
• Experience with digital ad technology and platforms.

• Master's degree in a quantitative discipline such as Statistics, Engineering, Sciences, or equivalent practical experience.
  
• 4 years of experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or a relevant PhD degree.
• Experience in Machine Learning and Statistics.

• Experience delivering insights from ML to customers (e.g., problem scoping/definition, modeling, people-management).
• Experience using or deploying digital analytics and measurement solutions.
• Experience in retail, financial services/retail banking, insurance, telecommunications, automotive and CPG.
• Experience in Computer Vision and Natural Language Processing (NLP) in the context of marketing analytics and the ability to bring generative AI technologies to customer problems in marketing.
• Experience leveraging data insights into storytelling for business stakeholders.
• Understanding of the statistical algorithms typically used in Marketing Analytics.