Job Description:OPPORTUNITYWe are seeking an experienced Analytics Engineer with 2-3+ years of hands-on experience to design, build, and maintain robust data solutions within our Azure/Microsoft-centric technology stack. The ideal candidate will thrive in a collaborative yet independent work environment, delivering high-quality analytics solutions that drive business insights and decision-making.SCOPE OF WORK
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
Collaborate with cross-functional teams to translate business requirements into technical solutions
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
IDEAL CANDIDATE PROFILERequired Qualifications
2-3+ years of experience in analytics engineering, data engineering, or similar role
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
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
Preferred Qualifications
Snowflake and/or Databricks experience with modern cloud data platforms
Private equity or financial services background - understanding of investment data, portfolio management, or financial reporting
Machine Learning experience including model development, deployment, or MLOps practices
Experience with additional Azure services (Synapse, Logic Apps, Power Platform)
Knowledge of data governance and compliance frameworks
Experience with version control (Git) and CI/CD practices
