Data Insights Specialist
hace 5 días
At Emi Labs, we are on a mission to bridge the gap between Frontline Workers and professional opportunities. Our solution aims to make them visible by building an infrastructure that unlocks their potential.
We're committed to transforming the recruiting experience into an easy, human, and fair process for both candidates and companies with high-volume job openings. Our product, Emi, is an AI-powered recruitment assistant that automates tasks such as screening, validating skills, scheduling interviews, and collecting documents. This allows recruiters to focus on what matters most – finding the right talent.
About the Role
We're seeking a Senior BI Analyst to join our growing data team and empower decision-making with high-quality data and insightful analysis. You will work closely with stakeholders across teams to design and build scalable data solutions and drive key business initiatives.
Responsibilities
- Ensure external reports have clear actionables to help clients.
- Continuously improve 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.
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.
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