Senior Data Analyst
Weekday AI View all jobs
- Bangalore, Karnataka
- Permanent
- Full-time
- Take full ownership of designing, developing, and managing scalable data pipelines that process both structured and unstructured data sources
- Develop and enhance ETL/ELT workflows utilizing SQL, Python, PySpark, and AWS big data technologies
- Establish and maintain data quality, validation, and monitoring standards to guarantee reliable and accurate data
- Conduct in-depth data exploration and analysis to address complex business challenges and provide actionable insights
- Serve as the senior data owner during product and client implementations, ensuring data use cases are properly implemented, thoroughly tested, and production-ready
- Collaborate closely with Product, Engineering, and Data Science teams to shape data architecture and support analytical use cases
- Offer technical guidance and mentorship to junior analysts while contributing to data platform best practices
- Minimum of 4 years’ experience in Data Analytics or Data Engineering roles
- Expertise in SQL along with practical experience working with both relational and NoSQL databases
- Advanced proficiency in Python and PySpark for large-scale data processing tasks
- Demonstrated experience building and managing ETL pipelines using tools like Airflow, AWS Glue, or similar platforms
- Strong knowledge of data modeling concepts and techniques for performance optimization
- Hands-on experience with AWS data services such as S3, EMR, Redshift, Athena, and RDS
- Ability to independently handle complex data challenges from start to finish and effectively influence cross-functional teams
- Familiarity with US healthcare data is highly desirable