At Kissterra, we are revolutionizing the insurance industry with the world's first Marketing OS - a comprehensive solution tailored to the unique marketing and distribution needs of insurance organizations.

Our intelligent solutions combine the power of AI, machine learning, and real-time data to reshape marketing strategies and drive profitable growth for top insurers.

Founded in 2015 and headquartered in Israel, Kissterra partners with leading US insurance companies, helping them uncover hidden growth opportunities and optimize their marketing budgets with unparalleled precision and efficiency.

Kissterra is seeking an experienced, creative, and independent Data Analyst to join our expanding data team. In this role, you will play a critical part in shaping strategic business decisions, collaborating across departments, and driving insights that enhance our products and services.

Responsibilities:

• Contribute to the development and execution of the organization's data strategy.
• Define and track key performance indicators (KPIs) across relevant areas of the business.
• Design, develop, and maintain data infrastructure and pipelines (e.g., data warehousing, ETL processes).
• Perform data modeling and optimization, designing and implementing data models, leveraging methodologies like normalized and deformalized to enhance database performance and analytics.
• Integrate data and analytics into everyday operational processes and workflows.
• Conduct in-depth data analysis to identify trends, patterns, and opportunities.
• Generate actionable insights and recommendations based on data analysis, presenting findings to both technical and non-technical audiences.
• Collaborate with stakeholders to understand their data needs and provide effective solutions.
• Stay up-to-date with industry best practices and emerging trends in data analysis and data science.
• Build predictive models to forecast trends
• Lead A/B testing, planning, monitoring, and analyzing A/B tests, deriving actionable insights for user and product improvements.

Requirements

• 5+ years of experience in a data analysis, data science, or related analytical role, demonstrating proficiency in applying advanced analytical methods.
• Advanced SQL proficiency with a strong ability to write complex, efficient queries and database optimization techniques.
• Experience in building predictive models.
• Hands-on experience with BI tools such as Tableau, Looker, or similar platforms.
• Proven experience in data modeling, designing relational and columnar database structures using methodologies like normalized and denormalized.
• Experience working with cloud databases and cloud data warehouses (e.g., Snowflake, AWS, Azure, or GCP).
• Strong analytical abilities, with experience in trend analysis, cohort management, and A/B test evaluations.
• Excellent verbal and written communication skills in English, with the ability to work directly with business stakeholders.
• Strong Data Storytelling Skills.
• A proactive mindset with the ability to work independently and in a dynamic team environment.
• Bachelor’s degree in Industrial Engineering, Statistics, Mathematics, Economics, or a related field.
• Bonus: Experience with Python (or R).