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Teleperformance, based in Bacoor City, Cavite, seeks a skilled Business Intelligence Developer to transform raw data into actionable insights. The role focuses on dashboards, data models, ETL, and data governance to drive operational efficiency in call centre operations.
You will work with Power BI, SQL, and Python, collaborating with IT and business teams to deliver analytics that inform strategic decisions. This full-time position emphasizes data quality and scalable BI solutions.
About us Teleperformance is a global leader in digital customer experience and business services. We specialise in delivering innovative solutions that help our clients transform their businesses and engage with their customers more effectively. With a presence in over 80 countries, we are committed to fostering a diverse, inclusive, and dynamic workplace where our employees can thrive and grow. Our mission is to create exceptional value for our clients whilst maintaining the highest standards of excellence, integrity, and customer-centricity.
About the role We are seeking a talented Business Intelligence Developer to join our team at our Bacoor City Cavite location. This is a full-time position that plays a crucial role in transforming raw data into actionable insights that drive business decisions across our call centre and customer service operations. As a Business Intelligence Developer, you will be at the heart of our data strategy, designing and implementing solutions that enhance operational efficiency, improve customer experience, and support strategic growth initiatives. This role offers an excellent opportunity to work with cutting-edge technologies and contribute meaningfully to our organisation's success.
Key responsibilities
Design, develop, and maintain business intelligence solutions, dashboards, and reports that provide actionable insights into call centre and customer service operations
Collaborate with stakeholders across the organisation to understand business requirements and translate them into technical specifications for BI solutions
Extract, transform, and load (ETL) data from multiple sources, ensuring data accuracy, consistency, and accessibility for analysis
Create and optimise data models, databases, and data warehouses to support analytical and reporting needs
Develop interactive visualisations and reports using business intelligence tools and platforms that communicate complex data in a clear and compelling manner
Monitor and troubleshoot existing BI systems to ensure optimal performance and data quality
Conduct data analysis to identify trends, anomalies, and opportunities for business improvement
Collaborate with IT teams to ensure infrastructure stability, security, and compliance with data governance policies
Provide technical support and training to end-users and stakeholders on BI tools and reporting systems
Stay current with emerging technologies and industry best practices in business intelligence and data analytics
What we're looking for
Advanced SQL Writing complex queries, optimizing data pipelines, and developing relational and dimensional data models.
Dashboard & Reporting Designing clean, interactive, and executive-level dashboards using tools such as Power BI, Tableau, or Looker.
Data Warehousing Working with modern cloud data platforms, including Snowflake, BigQuery, and Databricks.
Data Manipulation Using libraries such as Pandas and NumPy to clean, transform, aggregate, and prepare datasets for analysis and visualization.
Automation & Scripting Developing Python scripts to automate repetitive workflows, data pipeline processes, and API integrations.
Ad-Hoc Analysis Leveraging libraries such as Matplotlib and Seaborn for exploratory data analysis and statistical validation.
Prompt Engineering Crafting effective prompts for tools such as ChatGPT, Claude, and Copilot to generate, debug, and optimize SQL, Python, and DAX code.
AI-Assisted Coding Utilizing AI-powered development tools, including GitHub Copilot, Cursor, and other embedded coding assistants, to accelerate development.
Automated Documentation Using Generative AI to summarize insights, document code, and translate technical outputs into business-friendly language.
AI Data Security & Privacy Maintaining awareness of data privacy, enterprise security requirements, and confidentiality considerations when using AI tools.