BPO Metrics & Reporting Advisor

In these roles you will be responsible for:
• Acting as a lead on data mining and reporting projects
• Maintaining, analyzing, and interpreting and reporting Healthcare Payer data
• Continuously monitoring, identifying, and implementing the best practices, new tools, and methods in the field of metrics and reporting
• Creating and implementing executive level reporting strategies
• Aligning multiple organizations around difficult or complex solutions and issues in the field of metrics and reporting
• Applying a broad knowledge of application programming processes and procedures to the completion of complex assignments
• Focusing on systems architecture for global development
• Providing advanced research, analytical, problem-solving, and process improvement skills
• Pulling data to develop recurring or one-time reports
• Maintaining databases, spreadsheets and other tools used in data analysis
• Locating and fixing errors in reports
• Creating and delivering management dashboards and canned reports to support routine management oversight of business processes to ensure critical insight into exceptions and deliverables
• Leading large-scale projects
• Leading others on cross-functional projects outside of their own department
• Ensuring the highest level of support and communication is provided in an efficient and courteous manner to client, including active involvement in deliverable outputs (when necessary)
• Maintaining professional and trusting client relationships
• Effectively addressing critical client issues and escalations
• Effectively collaborating with BPO Operations Leaders, NTT Leaders to meet/exceed deliverables
• Identifying, recommending, and implementing process improvements to increase efficiency, client service levels and financial results
• Providing direction to less experienced team members and/or cross-training

Requirements for this role include:
• 8+ years of experience writing complex SQL queries
• 8+ years of experience with data analysis and analytics
• 5+ years of experience with base SAS and SAS reporting
• 5+ years of experience with Tableau
• 5+ years of experience in handling complex data analytic projects independently

Preferences: -
• Experience with predictive modeling
• Hands on experience with python/R coding for data analytics
• Experience with US Healthcare payor datasets

Required schedule availability for this position is Monday-Friday (9:00am to 5:00pm EST). The shift timings can be changed as per client requirements. Additionally, resources may have to do overtime and work on weekend s basis business requirement.

Job Segment: Data Mining, Developer, Database, SQL, Business Process, Technology, Management