• Leads large, complex exploratory analytics projects using key metrics to support and achieve key business objectives• Narrows potential root cause while providing insights into opportunities to improve process (scalable across multiple channels with no add to staff)• Advance analytics presentations, coordinate analytics requests and support planning processes to drive operational performance and provide business recommendations• Transforms data into actionable insights to solve client business solutions• Delivers predictive models, measuring plans to improve program performance and forecast future outcomes • Design quantitative statistical analyses for accounting, budgeting, and financial reporting purposes• Executes issue remediation and validations (confirm root cause/issue scopes, compare source codes/data filtering criteria to business requirements to confirm appropriateness/re-execute source codes to test population consistency and confirm reliability)• Query optimization and application tuning, including cross-database and cross-server queries, troubleshooting interactions between databases, operating systems and applications with regard to performance and resources usage• Supports end-to-end customer experience, analyzing customer behavior, identifying impacts of customer decisions and loss of impact identifications; emerging threats • Analytics demand based on driver trees with weekly/daily insights into productivity drivers• Expertise in maintaining relational databases, structuring and designing databases, system designs, data management, data warehousing• End-user testing of reporting applications and data marts; proactive capacity and resiliency planning and execution; server migrations continuity testing• Participates in voluntary training opportunities: gauntlet program challenges, machine learning flash hack challenges, programming conventions, data camps, data science curriculums, cross functional knowledge share

• Provide consultancy and technical expertise, gathering and organizing business intelligence data for predictive and prescriptive analytics, and facilitating the implementation of new tools and enterprise database applications• Possess insight and understanding of business concepts, tools, and processes that are needed for making sound decisions in the context of internal business strategy • Develop enterprise capacity management tools for clients to track KPI and BI reporting; transition manual business process to automated production systems• Use quantitative metrics to develop an understanding of client behavior, demographics and financial trends• Possess ability to use spreadsheet and analytics software relevant to computational analysis of voluminous and complex datasets• Extract, compile, and analyze statistical models utilizing big data repositories, and statistical computing methods to generate reports• Conduct linear regression analyses to quantify and validate accuracy of data, ensuring data is functional over a continuum • Retain knowledge of values and practices that align customer needs and satisfactions as primary considerations in all business decisions; ability to leverage this information in creating customized customer solutions• Influence data-driven solutions, product development, customer service improvement, organizational realignment and process re-engineering

• Lead software implementation project• Defined functional specifications to support new software deployment and integration • Conducted regression and UAT testing, identifying systemic defects and performance issues• Developed business requirements, and functional system design documents; identified any and all gaps, out-of-scope items and functional limitations• Enhanced productivity, quality assurance, and drive-sustained metrics, mitigating risk exposures by developing business solutions• Orchestrated and conducted business continuity testing• Developed policies & procedures, recreated Ad-hoc reporting; and reconstructed change-of-work orders• Lead cross-functional meetings, data process consultations, and line of business support to: stakeholders, external vendors, internal service partners and system end-users• Created risk unit framework (RCSA) requiring identifying risks, established controls, and testing inadequacies of failed internal processes