Director of Data Analytics leading the data function and scaling analytics capabilities at Kpler. Overseeing Data Engineering, Business Analytics, and Product Analytics roles for strategic growth.
Responsibilities
Define and execute a holistic data strategy that aligns with company priorities and drives the evolution of our data infrastructure and analytics culture.
Lead, mentor, and grow a multidisciplinary team across data engineering, business analytics, and product analytics, fostering collaboration and excellence.
Oversee the design, scalability, and reliability of the company’s data warehouse and pipelines, ensuring efficient and secure data flows across systems.
Collaborate closely with engineering teams to define data architecture standards and implement best-in-class tooling for data ingestion, transformation, and orchestration.
Develop consistent, trusted business and product metrics, analytical models, and dashboards to improve visibility, performance tracking, and strategic decision-making.
Implement master data management and governance frameworks to ensure accuracy, consistency, and reliability across all data assets.
Establish scalable processes to proactively detect, troubleshoot, and resolve data quality issues.
Partner with executives and department leaders to identify high-impact, data-driven opportunities that accelerate business and product outcomes.
Requirements
8+ years of experience in data-focused roles (engineering, analytics, or data science), with at least 3+ years in a leadership capacity at a tech scale-up or fast-paced environment.
Deep understanding of modern data architectures (cloud data warehouses, ETL/ELT, data modeling), analytics tools (SQL, Python, dbt, Looker, Power BI, or similar), and data governance frameworks.
Proven track record of leveraging data to drive strategy, optimize processes, and improve product and business performance.
Ability to balance hands-on problem solving with long-term vision; you can roll up your sleeves when needed while thinking strategically about scalability and impact.
Excellent communicator and partner who can bridge technical and non-technical teams, fostering alignment and shared understanding.
A passion for experimentation, continuous learning, and exploring new technologies in data science and AI.
Bonus: Experience building data functions from the ground up in a SaaS environment, exposure to AI/ML applications, or experience supporting data products and embedded analytics
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