Lead Analyst, Advanced Analytics

About the Role Maleda Tech is seeking a Lead Analyst for Advanced Analytics to join our team! In this role, you'll collaborate with product and operations teams to drive data-informed decision-making through experimentation, metrics development, and analytical insights. You'll be instrumental in building dashboards, conducting A/B tests, and empowering cross-functional partners with data literacy and tools to improve customer experiences. Key Responsibilities Design, execute, and evaluate product launches using techniques such as A/B tests and causal inference Provide guidance to cross-functional teams on learnings from launches to improve product experience Build metrics, dashboards, and data sets that drive key results and uncover insights to enhance the user experience Collaborate with product, operations, and engineering teams to develop metric specifications and logging requirements Empower operations and product partners with data tools and literacy to answer questions quickly Communicate regular updates to senior leadership and stakeholders Work with leadership to create and deliver strategic analytics roadmaps Prioritize and deliver ad-hoc data requests that drive business value Utilize and build AI tools to accelerate time to insights for yourself and stakeholders Qualifications Required: 5+ years of industry experience in business analytics Degree in a quantitative field (Statistics, Econometrics, Computer Science, Engineering, Mathematics, Data Science, Operations Research) Expert skills in SQL and at least one programming language for data analysis (Python or R) Experience with non-experimental causal inference methods, experimentation, and machine learning techniques Working knowledge of schema design, high-dimensional data modeling, and ETL best practices Ability to work under conditions of ambiguity in a fast-growth environment Experience partnering with internal teams and providing expertise on analytics, data science, and measurement Strong communication skills to present conclusions to both technical and non-technical audiences Ability to drive data strategies that increase data literacy for stakeholders Preferred: Master's or PhD in a quantitative field Experience supporting operations teams Knowledge and experience in the insurance industry Experience in customer experience measurement Key Details Start Date: January 5, 2026 Duration: 12-month contract (through December 18, 2026) Location: Remote Work Schedule: Full-time, 40 hours/week, Monday-Friday Pay Rate Range: $75 - $85 per hour