Lead Data Analyst

Role Overview

• Lead end-to-end analytical projects, including scoping, data collection, modeling, and presentation of findings to senior leadership.
• Serve as the primary analytics point of contact for assigned business domains, such as marketing, product, finance, or operations.
• Define and maintain KPIs, dashboards, and reporting frameworks that align with organizational objectives.
• Translate ambiguous business questions into structured analytical problems with clear deliverables.
• Design and execute advanced analyses including statistical modeling, forecasting, cohort analysis, segmentation, and A/B testing.
• Build and maintain complex SQL queries, data pipelines, and analytical datasets in cloud data warehouse environments.
• Develop predictive models and apply machine learning techniques where appropriate to drive business value.
• Ensure data quality, integrity, and consistency across all analytical outputs.
• Create and manage executive-level dashboards and self-service reporting tools using BI platforms such as Tableau, Power BI, and Looker.
• Present findings and communicate insights to technical and non-technical audiences in a clear, compelling, and actionable manner that influences decision-making across all levels of the organization.
• Document analytical methodologies, data definitions, and business logic to support knowledge sharing.
• Mentor and coach junior and mid-level analysts, including conducting code reviews and providing technical guidance.
• Partner cross-functionally with Data Engineering, Product, Finance, and Marketing teams to align on data strategy and priorities.
• Contribute to team best practices, including coding standards, peer review processes, and analytical documentation.
• Apply strong analytical thinking to break down complex problems systematically and draw evidence-based conclusions.
• Connect analytical outputs to tangible business outcomes and strategic goals through strong business acumen.
• Maintain high standards for code quality, reproducibility, and documentation.
• Invest in the growth and development of peers and junior team members through mentorship and knowledge sharing.
• Demonstrate ownership and initiative by proactively identifying opportunities and driving projects to completion with minimal supervision.
• Travel up to 15% annually, both domestically and internationally.

Requirements

• Bachelor’s degree in Statistics, Mathematics, Computer Science, Economics, or a related quantitative field with 5+ years of experience in a data analyst, business intelligence, or related analytical role, or a Master's degree with 3+ years of experience, or an equivalent combination of education and experience.
• Advanced proficiency in SQL and experience working with large-scale data warehouses such as Snowflake, BigQuery, Redshift, or similar platforms.
• Hands-on experience with at least one BI or visualization tool, including Tableau, Power BI, Looker, or equivalent.
• Strong working knowledge of Python or R for data manipulation, statistical analysis, and automation.
• Understanding of Azure services including Azure Synapse Analytics, Azure Machine Learning, Azure Databricks, Azure SQL Database, Azure Data Lake Storage, Azure Blob Storage, Azure Data Factory, and Azure Logic Apps.
• Demonstrated experience leading analytical projects independently from problem definition through stakeholder delivery.
• Exceptional written and verbal communication skills, with the ability to present complex data to executive audiences.

Tech Stack

• Amazon Redshift
• Azure
• BigQuery
• Cloud
• Python
• SQL
• Tableau

Benefits

• Medical, vision, and dental insurance for employees and dependents
• Generous paid time off, including 8 designated holidays
• 401(k) with employer contributions
• Tuition assistance and student loan assistance
• Wellness and employee assistance resources
• Employee stock purchase opportunities
• Short-term and long-term disability coverage