Design, develop and optimize ETL pipelines to extract, transform and load data from multiple source systems into data warehouse
Monitor and troubleshoot ETL processes to ensure smooth operations
Implement ETL processes using tools like Informatica and Alteryx
Implement data integration solutions for various data sources, ensuring data accuracy, consistency and completeness
Develop data quality, reconciliation and error handling frameworks to ensure data integrity
Optimize SQL and data transformation logic for performance and scalability
Document data flows, transformations and dependencies
Drive best practices in coding, testing and identify opportunities to improve processes and system reliability
Collaborate with business stakeholders to understand data requirements and translate them to scalable solutions.
Support analysts and business teams by delivering clean, structured datasets ready for visualization
Build predictive and statistical models to support forecasting, segmentation, and optimization
Implement Machine Learning and AI into Business Intelligence processes
Validate, test, and refine models to ensure accuracy and business relevance.
Analyze large, complex datasets to identify trends, patterns, and business opportunities
Support deployment and operationalization of analytics and data science outputs into Business Intelligence solutions
Understanding and knowledge of metadata management and data logs

6+ years of work experience
Experience supporting enterprise BI Platform & Predictive analytics
Experience in database technologies Oracle and Microsoft SQL
Extensive experience with R & Python and data modeling concepts
Understanding of data pipeline and ETL/ELT technologies
Understanding of next-gen technologies (Databricks, Snowflake, Microsoft fabric).
Proven experience in SQL performance tuning and recommend improvements for automation and maintainability.
Excellent understanding of data visualization concepts to support dashboards and reports
Ability to work both independently and in a team-oriented, collaborative environment
Strong problem solving and analytical thinking skills
Flexible and adaptable with respect to learning and understanding new technologies
Ability to effectively prioritize and execute tasks in a high-pressure environment
Excellent communication and interpersonal skills
Detail-oriented with a focus on quality and accuracy
Experience working in Agile/Scrum environments, participating in sprint planning, standups, reviews and retrospectives
Preferred
Experience working with cloud platforms such as Azure or AWS
Preferred
Experience in Alteryx is an added advantage.

Annual success-sharing bonuses or commission plans based on individual performance
Health insurance
Flexible work arrangements
Professional development opportunities

Senior Data Scientist

Key skills