Overview

As one of the world’s leading independent global investment firms, Invesco is dedicated to rethinking possibilities for our clients.

Responsibilities

• As one of the world’s leading asset managers, we are solely dedicated to delivering an investment experience that helps people get more out of life. If you're looking for challenging work, smart colleagues, and a global employer with a social conscience, explore your potential at Invesco
• The Department
• Because Invesco understands data and the products created from data are the lifeblood of our business, we have created a global BI & Analytics Team within the Technology and Operations. Our mission is to empower leaders across the company with actionable data insights that drive informed decision-making. We deliver rich analytics solutions through our BI platform and custom web tools, enabling senior leaders to access, interpret, and act on critical business information.
• Designing, developing, and maintaining robust database solutions to deliver actionable insights to leadership and cross-functional teams.
• Building data models that support Business Intelligence (BI) and self-service reporting, adhering to both industry and function-specific standards.
• Developing and maintaining data models optimized for analytics and reporting.
• Writing complex, efficient SQL queries using best practices and modern methodologies.
• Designing, building, and maintaining scalable ETL/ELT pipelines to ingest data from diverse internal and external sources.
• Optimizing SQL queries and ETL jobs for performance and cost efficiency.
• Ensuring the scalability, reliability, and maintainability of data pipelines.
• Collaborating with BI developers and analysts to ensure data availability, quality, and usability.
• Providing technical support for data-related issues and troubleshooting data pipeline failures.
• Implement monitoring and alerting mechanisms for proactive issue detection.
• Maintaining comprehensive documentation for data flows, schemas, and processes.
• Continuously improving existing systems and processes by applying innovative solutions, best practices, and strategic thinking in data management.
• Implementing processes to detect and resolve blocking, deadlocks, and inefficient queries.
• Proactively addressing data quality issues and ensure data integrity across systems.
• Owning the end-to-end data flow process and understanding various data types and their business context.
• Minimum of 8 years of experience in a SQL Server database environment including database design, data loading/unloading, performance tuning, and security best practices.
• Strong expertise in writing complex SQL queries using CTEs, subqueries, joins, and temporary tables.
• Solid experience with ETL/ELT processes and tools like Airbyte, dbt or AWS Glue
• Proficient in AWS cloud services such as S3, IAM Roles, Policies, and Lambda for database and data pipeline solutions.

Qualifications

• Deep experience in developing SSIS packages and utilizing all data flow task transformations
• Good to have knowledge on Snowflake
• Strong knowledge of data modeling concepts and best practices.
• Familiarity with BI tools such as Power BI is a plus.
• Is comfortable in a fast-paced, dynamic work environment
• Can manage multiple tasks simultaneously, pays close attention to detail
• Possesses exceptional oral and written communications skills
• Feels comfortable participating in Team discussions and share feedback
• Able to communicate with all levels including junior members and senior management
• Is adept at managing competing priorities
• Can work both independently and as part of a team
• Ability to work effectively with technical and business staff across geographic areas