PYXIDIA TECHLAB
Website:
pyxidiatech.com
Job details:
Job Title: Senior Data Analyst
Location: Mumbai / Bangalore / Pune
Experience: 4+ Years
Employment Type: Full-time
About the Role
We are seeking a highly skilled Senior Data Analyst to design, build, and scale data solutions across our products and client implementations. In this role, you will collaborate closely with Product, Engineering, Data Science, and Client-facing teams to translate complex business and healthcare requirements into scalable data models and pipelines.
As a senior member of the data team, you will also mentor junior analysts, influence data architecture decisions, and ensure high standards of data quality, reliability, and performance across systems.
Key Responsibilities
Design, develop, and manage scalable data pipelines across structured and unstructured data sources.
Build and optimize ETL / ELT workflows using SQL, Python, PySpark, and cloud technologies.
Implement and enforce data quality, validation, and monitoring frameworks to ensure accurate and reliable data.
Conduct advanced data exploration and analysis to solve complex business problems and generate actionable insights.
Act as a data lead during product and client implementations, ensuring data use cases are properly implemented, validated, and production-ready.
Collaborate with Product, Engineering, and Data Science teams on data architecture and analytics solutions.
Provide technical mentorship to junior analysts and contribute to improving data platform best practices.
Continuously optimize data workflows to improve performance, scalability, and reliability.
Required Skills & Experience
4+ years of experience in Data Analytics, Data Engineering, or related roles.
Strong expertise in SQL and experience with relational and NoSQL databases.
Advanced proficiency in Python and PySpark for large-scale data processing.
Experience designing and managing ETL pipelines using tools such as Apache Airflow, AWS Glue, or similar orchestration tools.
Strong understanding of data modeling, query optimization, and performance tuning.
Hands-on experience with AWS data services, including:
S3
EMR
Redshift
Athena
RDS
Ability to own complex data problems end-to-end and collaborate effectively with cross-functional teams.
Preferred Qualifications
Experience working with US Healthcare Data or healthcare analytics.
Exposure to healthcare data standards or compliance environments is a strong advantage.
Key Competencies
Strong analytical and problem-solving skills
Ability to work in fast-paced, cross-functional environments
Strong communication and stakeholder management skills
- Leadership and mentoring capabilities
Click on Apply to know more.