Job
Description
Collaborate with clients to gather business objectives and data requirements, identifying relevant data sources and establishing a stable, scalable data delivery process aligned with their goals. Design, build, and maintain daily ETL (Extract, Transform, Load) processes to integrate data from multiple sources into IBM and client-specific analytics platforms. Implement, calibrate, and customize TAO standard dashboards (SLA, Operations, and Demand Planning) in Power BI to provide actionable insights and support business decision-making. Develop and enhance analytics and data transformation solutions tailored to client-specific needs, ensuring high performance and data accuracy. Act as a strategic data consultant, analyzing trends, outliers, and anomalies, and contributing to client engagements such as Quarterly Business Reviews (QBRs) with data-driven insights. Troubleshoot and resolve technical issues independently while optimizing performance and ensuring data integrity. Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Bachelor’s or Master’s degree in Engineering, Computer Science, Data Analytics, or a related field. 5–10 years of experience in business analytics, data engineering, or consulting roles with a focus on data operations and transformation. Hands-on experience with SQL and ETL processes in a production environment. Strong expertise in Power BI dashboard design, performance tuning, and data storytelling. Proven ability to engage with clients, translate business needs into technical requirements, and deliver scalable solutions. Experience participating in QBRs and presenting data-driven insights to senior stakeholders. Preferred technical and professional experience Familiarity with HR or Talent-related data (e.g., recruitment metrics, SLA tracking, workforce planning). Understanding of agile project delivery methodologies and experience working in a BPO/Shared Services/Consulting environment. Strong problem-solving mindset and ability to work independently with minimal supervision. Effective communicator with strong documentation and stakeholder engagement skills. Passion for innovation, continuous learning, and driving improvements through data.
