Business Analyst jobs in Israel

Job Description As a Business Analyst in Wix Marketing, you will be a strategic partner, transforming data into impactful decisions that drive our North Star goal. Key Responsibilities: • Strategic Insight & Recommendations: Drive decision-making by defining initiatives, measuring impact, and providing proactive recommendations from deep-dive analyses • Advanced Measurement & Metric Ownership: Research, define, and rigorously analyze key metrics, understanding root causes and ensuring valid, actionable measurement using statistical methods • AI/LLM Integration: Leverage Generative AI and Large Language Models to enhance data exploration, automate analysis, and accelerate insight generation • Full-Cycle Experimentation & A/B Testing: Lead the design, execution, and interpretation of A/B tests and experiments, guiding product and marketing strategy • User Journey & Funnel Optimization: Analyze complex user funnels and journeys to identify friction points and optimize paths for engagement and conversion • Audience Segmentation & Personalization: Develop and refine audience segments to optimize user experiences and improve the efficacy of product and marketing efforts • Expert SQL Development: Write, optimize, and maintain complex SQL queries to extract and transform data from diverse sources for analytical work • Data Enablement & Automation: Pioneer automated tools and build advanced dashboards to empower stakeholders with actionable insights and foster a data-fluent culture Qualifications • A highly analytical person with 2+ years of experience in quantitative analysis on large data sets, preferably from an online/tech company • Education in a field emphasizing quantitative analysis (such as industrial engineering, finance, statistics, economics, etc.) • Proficient in SQL - writing, optimizing, and managing complex queries • Advantage - Hands-on experience with Python/R for advanced analysis, or leveraging AI/ML/LLMs for insights as well as data visualization tools such as Tableau and Power BI • Excellent visualization and presentation skills • Highly independent, proactive, and a fast learner, capable of prioritizing in a dynamic environment and fostering cross-functional collaboration • English at a professional capacity and great communication skills, both in person and written • Have a solid understanding of A/B testing methodologies and statistical principles for effective experiment design, execution, and interpretation Additional Information The Marketing Data Team are the Data Engineers and Business/Data Analysts who own the entire data process. From collecting the most relevant data using cutting edge technologies, to defining how we use it to guide decisions in key areas of our growth activities, by measuring and optimizing new channels, user journeys and marketing initiatives. We’re looking for a curious person, always searching to understand how things work and the underlying reasons behind everything.

Description Sunflower LTD is an exciting and dynamic B2C gaming startup in Tel Aviv. Our mission is to create innovative and captivating gaming experiences that engage and thrill players. As a Business Analyst, you will lead the analytics of products in your domain of responsibility and proactively guide our business growth, based on data analysis and statistical research, to ensure the development of successful products. This is a unique opportunity to contribute to a rapidly growing gaming company and significantly impact the industry. Responsibilities • Partner with stakeholders across business units (ex: Product, CRM, CS, VIP, etc.) to develop analyses and documentation in a collaborative way • Ongoing research of users' behavior, find baselines and anomalies • Create data reports dashboards and presentations • Defining project goals and KPIs, publishing internal policies • Find relevant product solutions, based on data analysis and business impact Requirements • At least 4+ years of experience in B2C Online/Gaming Industry • Strong SQL with experience in querying large complex data sets and multiple data sources • Excellent communication and collaboration skills • Experience with BI Visualization tools (Looker/Tableau) • Experience with cloud environments (GCP/AWS) Advantages • Experience with Python (Pandas, SciPy, NumPy) • Knowledge of A/B testing including statistical methods

Description We are looking for a Customer-Facing Business Analyst with a strong background in finance, business analysis, or economics. This role combines hands-on data analysis, business strategy, and direct customer interaction. You will work closely with customers to understand their business needs, identify opportunities to improve revenue and profitability, develop data-driven pricing strategies, and turn insights into measurable business results. You will combine hands-on analysis with customer management: understand business priorities, analyze demand and revenue performance, build pricing strategies, and work with customers and internal teams to implement recommendations and measure their impact. Your day-to-day work will include customer discussions, analysis in Excel, and using AI tools such as Claude to investigate business questions and support commercial decisions in a dynamic, time-sensitive environment. This role suits someone with an FP&A, financial analysis, or consulting background who enjoys working with people and taking initiatives from analysis through execution. Key Responsibilities * Own the customer relationship, build trust with key stakeholders, and align on business objectives and priorities. * Analyze demand patterns, sales pace, revenue, profitability, and capacity utilization to identify pricing opportunities. * Evaluate how seasonality, customer behavior, market conditions, and time to purchase affect performance. * Build forecasts and scenario analyses to assess pricing decisions and the trade-offs between volume, revenue, and margin. * Develop pricing strategies and translate insights into practical recommendations and action plans. * Lead customer meetings and business reviews, presenting findings to operational teams, senior management, and C-level executives. * Drive implementation and platform adoption in collaboration with customers and internal teams. * Track results against forecasts and targets, refine strategies, and follow through on agreed actions. Requirements * 2–4 years of experience in FP&A, financial analysis, business analysis, revenue management, consulting, or an analytical customer-facing role. * Strong financial and commercial understanding, including forecasting, variance analysis, and performance measurement. * Proven experience presenting recommendations, leading discussions with customers or internal business teams, and helping turn insights into action. Direct experience with external customers is strongly preferred. * Strong Excel skills, including analytical models, advanced formulas, and pivot tables. * Practical experience using AI tools such as Claude or ChatGPT for analytical or business work, with the ability to validate outputs and apply independent judgment. * Strong communication and relationship-building skills, with the ability to explain complex findings clearly. * High ownership, independence, and attention to detail, with consistent follow-through. * Strong written and spoken English. * Bachelor’s degree in finance, economics, accounting, business administration, industrial engineering, or a related field. Advantages * Experience in Customer Success, account management, or business advisory. * Background in dynamic pricing, revenue optimization, or commercial planning. * Experience in businesses with seasonal demand, capacity constraints, or time-sensitive inventory. * Experience with SaaS platforms and presenting to senior stakeholders.

Job Description As a Business Analyst in Wix Marketing, you will be a strategic partner, transforming data into impactful decisions that drive our North Star goal. Key Responsibilities: • Strategic Insight & Recommendations: Drive decision-making by defining initiatives, measuring impact, and providing proactive recommendations from deep-dive analyses • Advanced Measurement & Metric Ownership: Research, define, and rigorously analyze key metrics, understanding root causes and ensuring valid, actionable measurement using statistical methods • AI/LLM Integration: Leverage Generative AI and Large Language Models to enhance data exploration, automate analysis, and accelerate insight generation • Full-Cycle Experimentation & A/B Testing: Lead the design, execution, and interpretation of A/B tests and experiments, guiding product and marketing strategy • User Journey & Funnel Optimization: Analyze complex user funnels and journeys to identify friction points and optimize paths for engagement and conversion • Audience Segmentation & Personalization: Develop and refine audience segments to optimize user experiences and improve the efficacy of product and marketing efforts • Expert SQL Development: Write, optimize, and maintain complex SQL queries to extract and transform data from diverse sources for analytical work • Data Enablement & Automation: Pioneer automated tools and build advanced dashboards to empower stakeholders with actionable insights and foster a data-fluent culture Qualifications • A highly analytical person with 2+ years of experience in quantitative analysis on large data sets, preferably from an online/tech company • Education in a field emphasizing quantitative analysis (such as industrial engineering, finance, statistics, economics, etc.) • Proficient in SQL - writing, optimizing, and managing complex queries • Advantage - Hands-on experience with Python/R for advanced analysis, or leveraging AI/ML/LLMs for insights as well as data visualization tools such as Tableau and Power BI • Excellent visualization and presentation skills • Highly independent, proactive, and a fast learner, capable of prioritizing in a dynamic environment and fostering cross-functional collaboration • English at a professional capacity and great communication skills, both in person and written • Have a solid understanding of A/B testing methodologies and statistical principles for effective experiment design, execution, and interpretation Additional Information The Marketing Data Team are the Data Engineers and Business/Data Analysts who own the entire data process. From collecting the most relevant data using cutting edge technologies, to defining how we use it to guide decisions in key areas of our growth activities, by measuring and optimizing new channels, user journeys and marketing initiatives. We’re looking for a curious person, always searching to understand how things work and the underlying reasons behind everything.