Melissa Putur Email & Phone Number

Englewood, Co

Englewood, Co

• Continued to own initiative to increase customer eBill enrollment. Supported this role through pulling and analyzing data related to eBill events and of customers enrolled in eBill.• Billing system Subject Matter Expert. Provided recommendations and requirements for new projects that impacted billing and was a main point of contact for identifying and resolving customer account related defects. For production incidents, identified impacted accounts, created summaries of defect impacts and collaborated with IT teams to target short and long-term resolutions.

Englewood, Co

• Owned department initiative to increase customer eBill enrollment. Identified and defined customer segments with a high propensity to enroll in eBill and generated over 20 customer-facing and back-end projects to drive eBill conversion. As Billing System SME organized teams of peers to audit system logic, account attributes and bills for IT releases.• Used SQL and Excel to create ad hoc data pulls and analyses for department and company leadership. Created both detailed and high-level summaries to cater to the specific needs of the end user.

Englewood, Co

Managed look, feel, and functionality of customer statement by maintaining relationship with external billing vendor, internal projects teams, and IT teams. Led effort to redesign statement including drafting project requirements, validating changes in test and coordinating over 25 team members to audit changes in production.

Englewood, Co

Member of the Reporting and Initiatives team for the Billing and Credit department. Used SQL to generate ad hoc analysis to investigate customer account issues and document delinquency processes in the billing system.

• As part of a team of 3, analyzed 96 unique clothing sizes and their sales performance across Hanes’s 163 retail locations to optimize sizing mixes.• Used cluster analysis in R to group stores into 4 main clusters with unique sizing mixes.

Greater Denver Area

• Analyzed customer data including payment methods, non-pay frequency, credit score, and one-time charge frequency to identify trends in customers that regularly order Pay-Per-Views and customers that were excused from making payments at time of connection.• Formulated recommendations for changes to Pay Per View limits and new customer payment rules based on unique customer segments.

New York, New York

Bachelor Of Science (B.S.), Mathematical Business, Senior

Ms In Business Analytics

Activities and Societies: High Honors | MSBA '20 Outstanding Student Award