BPO Metrics & Reporting Advisor
Job Description
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.
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Developer, Data Mining, Database, SQL, Business Process, Technology, Management