Data Lead

Role Overview

We are seeking a hands-on Data Lead who combines strong analytics engineering skills with data science experience. This role owns the full data lifecycle — from data pipelines and analytics to modeling and advanced insights — enabling leadership and teams to make fast, data-driven decisions.

Key Responsibilities

• Own the data strategy, architecture, and analytics roadmap.
• Design, build, and maintain scalable data pipelines across multiple data sources.
• Ensure high standards of data quality, consistency, and governance.
• Develop and maintain dashboards, metrics, and KPIs for leadership and teams.
• Use SQL to model, transform, and analyze large datasets.
• Use Python for data analysis, automation, and advanced analytics.
• Build and deploy data science models (forecasting, segmentation, clustering, prediction, experimentation).
• Partner with product, finance, marketing, and operations to solve business problems using data.
• Lead cohort analysis, funnel analysis, and performance tracking.
• Establish best practices for documentation, metric definitions, and data ownership.
• Mentor and guide analysts, engineers, or data scientists as the team scales.

Required Qualifications

• Bachelor’s degree in Computer Science, Data Science, Statistics, or a related field.
• 6–10+ years of experience across data analytics, data engineering, and data science.
• Strong SQL skills (complex queries, modeling, performance optimization).
• Strong Python skills for data analysis and modeling (pandas, numpy, scikit-learn or similar).
• Hands-on experience building statistical or machine learning models.
• Experience with Metabase for analytics and dashboards.
• Strong understanding of KPIs, metrics design, and business analytics.
• Ability to operate independently in a fast-moving, high-ownership environment.
• Excellent communication and stakeholder management skills.