About the Company
Teleperformance is a global digital business services company that delivers advanced, digitally powered services to streamline business operations for top brands. With a global scale and local presence, Teleperformance aims to support communities, clients, and the environment in meaningful and sustainable ways.
About the Role
Responsible for managing and optimizing data systems using Microsoft SQL, Python and BI tools to deliver scalable, automated BI solutions. The role involves designing data models, maintaining reporting infrastructure, and translating business needs into actionable insights. Collaborates with cross-functional teams to support decision-making through efficient data delivery and analysis.
Responsibilities
- Design, develop, and maintain ETLs, stored procedures, and database objects to support reporting and data analysis.
- Build and manage scalable data solutions across multiple platforms, ensuring data integrity and performance.
- Collaborate with business stakeholders to gather requirements and deliver actionable BI solutions using SQL and Power BI.
- Translate business needs into technical specifications for data warehouse design and reporting automation.
- Monitor and optimize data processes, automation, and reporting cycles to improve efficiency and accuracy.
- Maintain ticketing systems and ensure timely resolution of data-related requests in line with SLAs.
- Support continuous improvement initiatives by analyzing trends, identifying opportunities, and contributing to PSP/DMAIC sessions.
- Participate in agile teams, cross-functional meetings, and change management efforts to ensure smooth data operations.
- Promote BI adoption and knowledge sharing across departments, acting as a strategic liaison between business and data teams.
- Demonstrates strong collaboration skills and readily offers mentorship and support to team members when needed.
Qualifications
- Bachelor's degree (or in progress) in Computer Science, Data Science, Engineering, or a related technical field.
- Strong proficiency in MS SQL Server (2016+), including SQL Server Data Tools, query optimization, and indexing.
- Solid understanding of data architecture, database management (SQL/NoSQL), and cloud platforms (e.g., AWS, Azure).
Required Skills
- 2 years+ and above experience in database analysis, reporting, and BI development using SQL, Power BI, and Excel, preferably in a call center or WFM environment.
- Strong hands-on experience with Microsoft SQL Server and data modeling concepts (e.g., star/snowflake schema, OLAP).
- Proficient in Microsoft Office; working knowledge of PowerApps and Flow is a plus.
- Practical experience with Python for data manipulation and automation.
Preferred Skills
- Strong hands-on experience with Microsoft SQL Server and data modeling concepts (e.g., star/snowflake schema, OLAP).
- Proficient in Microsoft Office; working knowledge of PowerApps and Flow is a plus.
- Practical experience with Python for data manipulation and automation.
