Analytics Engineering Manager

Accountabilities:

• • Lead, mentor, and develop a high-performing team of analytics engineers, fostering technical excellence, accountability, collaboration, and continuous growth.
  • Own the delivery of robust data pipelines, analytical models, and reporting solutions that turn raw data into reliable, actionable insights.
  • Partner closely with Product, Engineering, Growth, Marketing, and Operations teams to understand business needs and deliver scalable data solutions.
  • Establish and champion data modeling, testing, documentation, governance, and quality standards across the organization.
  • Drive the design, architecture, optimization, reliability, and scalability of the analytics and data transformation infrastructure.
  • Use advanced SQL, Databricks, dbt, and modern cloud data practices to support efficient and maintainable analytics workflows.
  • Prioritize analytics projects and manage delivery across multiple initiatives, balancing business impact, technical requirements, resources, and timelines.
  • Communicate project progress, priorities, risks, and outcomes clearly to technical and non-technical stakeholders.
  • Identify opportunities to improve data accessibility, reliability, and usability across the organization.
  • Contribute to a culture of proactive execution, experimentation, and continuous improvement in a high-growth environment.

  Requirements

  • 7+ years of professional experience in data engineering, analytics engineering, business intelligence, or a closely related field.
  • At least 2+ years of experience in technical leadership or people management, with a demonstrated ability to build and develop high-performing technical teams.
  • Advanced proficiency in SQL, Databricks, and dbt.
  • Strong experience architecting, developing, and scaling data transformation pipelines within modern cloud environments.
  • Deep understanding of analytics engineering best practices, including data modeling, testing, documentation, governance, and data quality.
  • Proven ability to collaborate effectively with Product, Engineering, Marketing, Growth, and Operations stakeholders to deliver measurable business outcomes.
  • Strong technical judgment and the ability to balance long-term architecture with immediate business priorities.
  • Excellent communication and stakeholder management skills, with the ability to translate complex data concepts into clear recommendations and decisions.
  • Highly proactive, execution-oriented mindset with a strong sense of ownership and urgency.
  • Comfortable working in a fast-paced, rapidly changing environment where priorities can evolve quickly.
  • Familiarity with modern software engineering practices, cloud infrastructure, microservices, or technologies such as AWS, Kubernetes, TypeScript, Node.js, or React Native is beneficial but not required.
  • Experience working with AI-assisted development tools or workflows is a plus.

  Benefits

  • Competitive compensation: Competitive base salary combined with stock options.
  • Health coverage: Comprehensive health benefits available from Day 1.
  • Retirement: 401(k) plan with company matching.
  • Remote-friendly: Opportunity to work remotely within the United States.
  • Flexible time off: Flexible paid time off designed to support sustainable performance and work-life balance.
  • Career growth: Opportunities to develop professionally while taking on meaningful responsibilities in a rapidly scaling organization.
  • High-impact environment: Work on financial technology products serving millions of consumers.
  • Inclusive culture: A mission-driven workplace that values diverse perspectives, experiences, and backgrounds.
  • Modern technology environment: Exposure to cloud-native data and software technologies and AI-assisted development practices.