
Data Strategy Lead
3 days ago
Lead Analytics Visionary
About the Role:
We seek a seasoned analytics leader to drive the development of our next-generation data mart. This key position will oversee the creation of a scalable infrastructure and define tools for data consumption across the organization.
Key Responsibilities:
- Design and implement a unified data strategy, encompassing behavioral and transactional data.
- Establish robust self-service analytics capabilities, empowering teams with actionable insights.
- Collaborate with cross-functional stakeholders to ensure seamless integration of analytics into business operations.
- Develop and mentor a high-performing analytics team, fostering expertise in modern data stack technologies.
- Drive the adoption of machine learning-driven insights, partnering with product and engineering teams to deliver personalized experiences and predictive models.
- Oversee data governance, quality, and best practices, ensuring consistency and scalability throughout the analytics ecosystem.
Requirements & Qualifications:
To excel in this role, you should possess:
- 8+ years of experience in data & analytics leadership, with a proven track record of building scalable data marts and defining enterprise-wide data strategies.
- Deep technical expertise in data modeling, flat table structures, and query optimization for large-scale systems.
- Hands-on experience with modern data stack technologies, including SQL, ETL/ELT, cloud data warehouses, and BI tools.
- Strong knowledge of machine learning workflows, including feature engineering and model monitoring.
- Excellent stakeholder management and communication skills, comfortable influencing at the CXO level.
What We Offer:
- A high-visibility role with direct collaboration with founders and leadership.
- The opportunity to build a world-class analytics team and shape the culture of data-driven decision-making.
- A dynamic work environment with a rapid growth trajectory, offering challenges and opportunities for professional growth.
Success Metrics:
- Launch of next-gen data mart within defined timelines.
- Reduction in data processing and reporting times.
- Uptime and reliability of data pipelines and consumption layers.
- Adoption and impact of self-service analytics tools.
- Improvement in data accuracy and consistency across sources.
- Establishment and adoption of data governance frameworks.
Why Join Us?
- Be part of a company that values innovation and data-driven decision-making.
- Contribute to the development of cutting-edge analytics solutions that drive business growth.
- Work with a talented team of professionals who share your passion for analytics and data science.
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