Who We Are Recursion is an institutionally-backed startup currently in beta mode that is redefining business intelligence and automation with agentic AI. Our mission is to deliver non-obvious insights tailored specifically to each business and to automate complex processes beyond the capabilities of traditional RPA tools. By consolidating all data into a single source of truth and making it accessible in real-time via natural language conversations, we empower enterprises to make quick, confident decisions without delays in data processing or preparation. Objective: We are looking for an experienced and strategic Head of Data Insights to lead our data analytics initiatives. This innovative leader will drive the vision for our data insights strategy, leveraging a deep understanding of data to support client engagement and business growth. The ideal candidate will have over 7 years of experience in data analysis and management and be skilled at transforming data into actionable insights. Key Responsibilities: Build and lead a new global insights function connecting customer insights, market research and data analytics. Oversee data analysis from diverse sources, identifying connections and trends to inform business strategies. Spearhead exploratory data analysis initiatives to uncover patterns, anomalies, and insights supporting strategic decision-making. Lead market research initiatives to identify emerging trends, customer behaviors, and competitive positioning, and translate findings into comprehensive reports and presentations. Develop and publish periodic trend reports, highlighting actionable insights for stakeholders across the organization and driving thought leadership in the industry. Ensure exceptional clarity in master data descriptions, making them comprehensible for stakeholders. Design and implement predictive models, including churn prediction and revenue forecasting, to guide strategic business decisions. Collaborate with cross-functional teams to integrate data insights into broader business strategies and operational processes. Mentor and develop junior analysts, fostering a culture of learning and innovation within the team. Skills and Experience: Bachelor’s degree in Computer Science, Data Science, Statistics, or a related field; a master’s degree is preferred. Minimum of 7 years of experience in data analysis with an extensive background in data management practices. Proficient in data analytics tools and programming languages (Python, SQL, R, etc.) and experience with relevant machine learning libraries. Strong problem-solving capabilities, with an ability to manage complex data sets. Exceptional communication skills, capable of presenting insights and data narratives effectively to diverse stakeholders. Experience with business intelligence tools and data visualization platforms. Demonstrated experience in predictive modeling and analytics. Ownership: Track record of driving and delivering complete, high quality solutions to problems independently. Experience mentoring junior team members. How to Apply Please submit your resume and a brief cover letter explaining your interest in the role and how your experience aligns with the responsibilities and qualifications.