Job Description
The Lead Data Analyst will take ownership of analytical strategy, data exploration, and business insights delivery. The role involves close collaboration with stakeholders and managing a small team of analysts. The analyst will turn complex data into clear, actionable recommendations. Responsibilities include leading analytical projects, defining KPIs, designing SQL queries, and communicating insights. The candidate will also be responsible for defining data standards and implementing QA processes.
Good 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)
Must Have:
- 6+ years of experience in data analytics or business intelligence
- 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 and 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
Perks:
- Flexible working format - remote, office-based or flexible
- A competitive salary and good compensation package
- Personalized career growth
- Professional development tools (mentorship program, tech talks and trainings, centers of excellence, and more)
- Active tech communities with regular knowledge sharing
- Education reimbursement
- Memorable anniversary presents
- Corporate events and team buildings
- Other location-specific benefits
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)
We offer*:
- Flexible working format - remote, office-based or flexible
- A competitive salary and good compensation package
- Personalized career growth
- Professional development tools (mentorship program, tech talks and trainings, centers of excellence, and more)
- Active tech communities with regular knowledge sharing
- Education reimbursement
- Memorable anniversary presents
- Corporate events and team buildings
- Other location-specific benefits
*not applicable for freelancers
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