Summary
Join Emi Labs' growing data team as a Senior BI Analyst and empower data-driven decision-making. You will collaborate with cross-functional teams, design and build scalable data solutions, and drive key business initiatives. Responsibilities include ensuring clear actionables in external reports, improving dashboard performance, and performing deep-dive analyses. The ideal candidate possesses 5+ years of BI experience, strong SQL skills, and experience with data visualization tools. Emi Labs offers a dynamic startup environment with growth opportunities and is committed to fostering a fair and inclusive workplace.
Requirements
- 5 years of experience working in BI, data analysis, or analytics roles
- Strong SQL skills
- Hands-on experience with at least one data visualization tool (e.g. Looker, Power BI, Tableau, Metabase)
- Experience with GitHub or any version control tool
- Proven ability to communicate complex analytical concepts in a clear and accessible way
- Experience working with stakeholders across different teams (Product, Ops, Marketing, Customer Success, etc.)
- Solid understanding of data modeling and ETL processes
- Proactive, curious mindset with a passion for using data to solve real business problems
- Fluent English
Responsibilities
- Ensure that external reports have clear actionables to help our clients
- Continuously work on improving dashboard performance
- Collaborate with cross-functional teams to understand business needs and translate them into analytical solutions
- Design, build, maintain and improve dashboards to monitor key KPIs and operational performance
- Perform deep-dive analyses to uncover actionable insights that support strategic decision-making
- Optimize data pipelines and data models used across the organization
- Ensure data quality and integrity through rigorous testing and validation
- Write efficient, scalable SQL to explore and analyze large datasets
- Document processes and share knowledge with the team to support continuous improvement
Preferred Qualifications
- Experience with DBT or similar data transformation tools
- Familiarity with cloud data warehouses (Redshift, BigQuery, Snowflake)
- Experience with different types of data modeling
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