Lead Data Analyst

We are looking for a Lead Data Analyst to join our data-driven team and take ownership of analytical strategy, data exploration, and business insights delivery. This role involves close collaboration with stakeholders, managing a small team of analysts, and turning complex data into clear, actionable recommendations.

You will play a key role in driving data-informed decisions, improving reporting processes, and contributing to the development of scalable analytical frameworks.

Responsibilities

• Lead the end-to-end delivery of analytical projects, from business requirements gathering to data analysis and presentation of insights
• Collaborate with cross-functional teams (Product, Marketing, Engineering, Data Engineering) to define KPIs, monitor business performance, and identify opportunities
• Design and maintain complex SQL queries and dashboards to support operational and strategic needs
• Translate business needs into technical specifications and ensure alignment between stakeholders and data solutions
• Define data standards, implement QA processes, and contribute to the overall data strategy
• Communicate insights and recommendations to both technical and non-technical audiences
• Drive the adoption of best practices in data analysis, documentation, and stakeholder communication
  
  

Requirements

• 6+ years of experience in data analytics or business intelligence would be ideal
• Proficient in SQL (e.g., PostgreSQL, BigQuery, Redshift, or Snowflake)
• Strong experience with BI and data visualization tools (e.g., Power BI, Tableau, Looker)
• Solid understanding of data modeling, data warehousing, and ETL processes
• Experience working with large datasets and optimizing queries
• Strong business acumen with the ability to bridge technical and non-technical perspectives
• Proven leadership experience or mentoring of junior analysts
• Excellent communication and presentation skills
• Spoken English – Upper-Intermediate or higher is needed
  
  

Nice to Have

• Experience with Python or R for data analysis
• Experience in stakeholder management in cross-functional environments
• Familiarity with DBT, Airflow, or other data engineering tools
• Knowledge of A/B testing, statistics, and experimentation
• Experience in domains such as e-commerce, SaaS, AdTech, or Data-as-a-Service
• Certification in analytics or data platforms (e.g., PL-300, DA-100, Google Data Analyst)