Additionalinformation

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.

Companydescription

Company Description

With over 30 different products, Wix makes it easy for anyone to succeed online. We build web creation tools and business solutions, mobile apps, payment processing technologies, as well as CRM and marketing tools that help our users in different business sectors and compete online. Our technologies are based on massive infrastructure required to securely and resiliently serve over 250 million users, and their visitors across the globe - instantly. Our scale is enormous, and our plans for the future are even bigger.

Wix’s product development teams work in a dev-centric culture, deploy code hundreds of times every day using advanced automation tools, and create methodologies that enable a fast-to-production environment. We operate in small highly-collaborative teams, but belong to professional groups called Guilds, dedicated to personal and professional growth.

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At Wix, we believe our best work happens together. Our work model is fully in person, with 5 days a week from our office. Flexibility remains a core value at Wix and special requests are handled thoughtfully at the team level.

We’re proud to be an equal opportunity employer. Wix was built around the idea that everyone has the right to be successful, online. This same vision defines us as an employer: creating a work environment where everyone is welcome, and anyone has the right to succeed.

Jobdescription

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