The company is seeking an experienced Analytics Engineer to design, build, and maintain robust data solutions within their Azure/Microsoft-centric technology stack to drive business insights and decision-making.
Requirements
- Advanced SQL proficiency with experience in complex query optimization and database design
- Python programming skills for data manipulation, automation, and analytics
- Power BI expertise including dashboard development, DAX, and data visualization best practices
- Azure cloud platform experience including Azure Data Factory, Azure SQL, and related services
- Data modeling experience with dimensional modeling, star/snowflake schemas, and ETL/ELT processes
- Production environment experience including deployment, monitoring, and maintenance of data systems
- Snowflake and/or Databricks experience with modern cloud data platforms
Responsibilities
- Design and implement scalable data models and pipelines using modern data engineering practices
- Develop and maintain production-grade analytics solutions within Azure ecosystem
- Build comprehensive dashboards and reports using Power BI to support business stakeholders
- Optimize SQL queries and data processing workflows for performance and reliability
- Support and enhance existing data infrastructure while implementing new analytics capabilities
- Participate in code reviews and maintain high standards for data quality and documentation
- Respond quickly to critical data issues and provide solutions under tight deadlines
Other
- 2-3+ years of experience in analytics engineering, data engineering, or similar role
- Strong communication skills with ability to explain technical concepts to non-technical stakeholders
- Proven ability to work independently and manage multiple priorities effectively
- Experience working under pressure with quick turnaround requirements
- Private equity or financial services background - understanding of investment data, portfolio management, or financial reporting
