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(April) Data Analyst - Bundles

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The Data Analyst will be required to access and compile large amounts of data, analyze the data, interpret and quantify trends on the operational aspects of various bundle partner associated with program. The role will also need to effectively communicate concise findings and recommendations to senior management and leaders. The Analyst will work on creating and/or enhancing various analytical tools that will help improve the operational results and may also be required to develop requirements and perform testing on these analytical tools.

• Partner with cross functional teams such as Finance, Strategy, Business Analytics and Customer Care to understand enterprise trends, competitive environment and their impacts on subscriber behavior and provide conclusions and recommendations to business owners.
• Provide insight into and develop new ideas and approaches to improve operational results.
• Perform ad hoc analytics on large/diverse datasets using various tools and techniques
• Perform data extraction, aggregation, and quality checking from multiple data sources to prepares statistical and narrative reports and recommendations
• Perform data mining and data analysis activities to conclude fraud, policy non-compliance or training opportunity and hence drive new strategies
• Initiate proactive investigations into data issues that impact reporting, analysis, or program execution
• Consolidate information and present to program managers and senior management in a clear and concise manner.
• Create insightful dashboard reports and qualitative analysis using data from multiple sources
• Support tools for data analysis, controls automation, and audit support.
• Implement data analytic routines to provide identification, analysis, and reporting of audit results
• Support special Ad Hoc Projects - ability to step in and assist management on initiatives as they come up across transaction management
• Ability to prioritize and execute multiple overlapping projects while working in a fast-paced and dynamic environment
• Strong attention to detail


· 5+ years of experience with SQl development and 3-5 years of experience in Teradata and SAS

· Bachelor’s Degree and 3-5 years relevant experience

· Some experience with a mapping software and has done some Geo Analysis

· Highly skilled in Excel, Access, and familiar with COGNOS

· Prefer candidates with educational background or working experience with statistics

· Highly analytical and creative thinker

· Must be self-directed, organized and detail oriented as well as have the ability to multitask and work effectively in a fast paced environment

· Excellent communication skills including an ability to communicate and work effectively with business managers and diverse cross-functional groups

· Ability to accommodate change and adapt accordingly

Demonstrated Successes
• Experience in summarizing data and building presentations using Powerpoint
• Proficiency in standard MS Office applications
• Have participated or led data analysis in highly complex business problems
• Have developed executive level presentations that identify business trends, operational successes and opportunities based on transactional data

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