דרושים Growth Data Analyst ב-Lemonade ב-Israel, Tel Aviv-yafo

• Lead the product strategy and development efforts in one of Lemonade’s main business domains, focusing on optimizing user experiences and driving product scalability

• Collaborate closely with cross-functional teams including design, engineering, data analysis, and other stakeholders to define product goals and priorities

• Identify opportunities for improvement and innovation, and translate them into actionable plans and prototypes

• Drive the execution of product initiatives, ensuring alignment across other product teams within the organization

• Define and track key performance indicators (KPIs) to measure the success of initiatives and make data-driven decisions to optimize them

• At least 5 years experience working as a product manager in a successful startup / fast-growing company - a must

• Excellent leadership and personal skills

• Self-organized, process-driven

• Superior attention to detail, coupled with a keen eye for the big picture

• Capable of understanding complex processes, and identifying areas calling for improvement

• Data-driven and analytical thinker

• Outstanding communication skills, including the ability to present findings and recommendations clearly and effectively to stakeholders

• Experience leading small, agile teams

• A passion for accumulating knowledge of your domain and sharing it 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

We’re looking for an experienced and passionate Growth Data Analyst to join one of our agile analytics teams. You’ll be a strategic partner, and a decision maker, working closely with Revenue leadership to determine exactly where Lemonade wants to scale its Growth and Marketing efforts. You’ll help model complex data, uncovering patterns and delivering data-driven insights that help us grow our business. As a Growth Data analyst, you’ll ask the right business and strategic questions, and find the insights to answer them.

• Be part of the Analytics chapter, spending your day-to-day as the data expert in our Revenue team

• Build and maintain the data analytics infrastructure for accurate and timely reporting and sophisticated analysis

• Provide the analytical firepower to help evolve our acquisition strategy and grow our user base effectively and efficiently, with a particular focus on EU markets

• Collaborate with other data analysts and leverage the many marketing science tools we have developed to continuously measure, test, and optimize across all partners and platforms

• 3+ years of experience in a data analytics role, preferably within a fast-growing consumer company

• Bachelor’s degree in Mathematics, Statistics, Marketing, or a related field

• Proficiency in SQL is essential; knowledge of statistical modeling is 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 plus

• Knowledge with marketing measurement and optimization framework (e.g. attribution, media mix modeling, incrementality tests)

• Familiarity with digital/offline marketing platforms and strategic partnerships is preferred

• Experience with EU markets 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

• Help build Lemonade’s data platform, designing and implementing data solutions for all application requirements in a distributed microservices environment

• Build data-platform ingestion layers using streaming ETLs and Change Data Capture

• Implement pipelines and scheduling infrastructures

• Ensure compliance, data-quality monitoring, and data governance on Lemonade’s data platform

• Implement large-scale batch and streaming pipelines with data processing frameworks

• Collaborate with other Data Engineers, Developers, BI Engineers, ML Engineers, Data Scientists, Analysts and Product managers

• Share knowledge with other team members and promote engineering standards

• 5+ years of prior experience as a data engineer or data infra engineer

• B.S. in Computer Science or equivalent field of study

• Knowledge of databases (SQL, NoSQL)

• Proven success in building large-scale data infrastructures such as Change Data Capture, and leveraging open source solutions such as Airflow & DBT, building large-scale streaming pipelines, and building customer data platforms

• Experience with Python, Pulumi\Terraform, Apache Spark, Snowflake, AWS, K8s, Kafka

• 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

• Technically lead the group by shaping the architecture, guiding design decisions, and ensuring the technical excellence of the Data Platform’s three teams

• Design and implement data solutions that address both applicative needs and data analysis requirements, creating scalable and efficient access to actionable insights

• Drive initiatives in Data Engineering Infra, including building robust ingestion layers, managing streaming ETLs, and guaranteeing data quality, compliance, and platform performance

• Develop and maintain the Data Warehouse, integrating data from various sources for optimized querying, analysis, and persistence, supporting informed decision-makingLeverage data modeling and transformations to structure, cleanse, and integrate data, enabling efficient retrieval and strategic insights

• Build and enhance the Machine Learning Platform, delivering infrastructure and tools that streamline the work of Data Scientists, enabling them to focus on developing models while benefiting from automation for production deployment, maintenance, and improvements. Support cutting-edge use cases like feature stores, real-time models, point-in-time (PIT) data retrieval, and telematics-based solutions

• Collaborate closely with other Staff Engineers across Lemonade to align on cross-organizational initiatives and technical strategies

• Work seamlessly with Data Engineers, Data Scientists, Analysts, Backend Engineers, and Product Managers to deliver impactful solutions

• Share knowledge, mentor team members, and champion engineering standards and technical excellence across the organization

• 8+ years of experience in data-related roles such as Data Engineer, Data Infrastructure Engineer, BI Engineer, or Machine Learning Platform Engineer, with significant experience in at least two of these areas

• A B.Sc. in Computer Science or a related technical field (or equivalent experience)

• Extensive expertise in designing and implementing Data Lakes and Data Warehouses, including strong skills in data modeling and building scalable storage solutions

• Proven experience in building large-scale data infrastructures, including both batch processing and streaming pipelines

• A deep understanding of Machine Learning infrastructure, including tools and frameworks that enable Data Scientists to efficiently develop, deploy, and maintain models in production, an advantage

• Proficiency in Python, Pulumi/Terraform, Apache Spark, AWS, Kubernetes (K8s), and Kafka for building scalable, reliable, and high-performing data solutions

• Strong knowledge of databases, including SQL (schema design, query optimization) and NoSQL, with a solid understanding of their use cases

• 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