Data Analyst
Must Have Technical/Functional Skills
- Strong hands-on experience with SQL, Python, and Advanced Excel for data analysis and automation.
- Solid understanding of cloud platforms (AWS, Snowflake, Redshift) and modern ETL tools (Airflow, dbt, Kafka).
- Experience in data visualization tools like Tableau and Power BI for creating dashboards and monitoring KPIs.
- Proven expertise in building and managing scalable cloud-native data pipelines using AWS services.
- Sound knowledge of financial analytics, fraud detection systems, and operational reporting.
- Experience as a Senior Data Analyst and Business Analyst across cross-functional teams.
- Must have experience working in Agile environments with tools like JIRA, Confluence, Git, Jenkins
Roles & Responsibilities
- Design and implement scalable ETL pipelines and real-time data streaming using Kafka, Flink, and AWS Lambda.
- Develop dashboards and data models to support financial and operational reporting using Tableau, Power BI, and SQL.
- Collaborate with cross-functional stakeholders to gather requirements and translate business needs into
data solutions.
- Lead product backlog grooming and sprint planning sessions to ensure delivery alignment.
- Automate data workflows using Python and cloud functions to improve processing speed and data reliability.
- Migrate legacy data systems to modern cloud platforms like AWS RDS, Snowflake for improved
performance.
- Monitor and optimize pipeline performance, implement logging, and ensure data integrity across systems
Salary Range- $100,000-$120,000 a year
