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At Company, the Operations Analyst investigates team workflows and business procedures, compiles and reports volume, productivity, quality and other statistical data. Analyzes business issues and makes recommendations to maximize operational efficiency and quality, and ensures compliance standards.
Uses statistical analysis, solves complex operational, systems-related and/or customer issues with possible financial risk
Creates and maintains databases using data from multiple sources
Applies complex statistical data to business strategies and presents recommendations to senior management in a meaningful format
May manage complex production efforts and large projects requiring the coordination of resources, budgets and deadlines
May partner with technology group to define business requirements, perform user acceptance testing and implement complex changes
Facilitates communication to resolve problems and advance strategies
This position is exempt from timekeeping requirements under the Fair Labor Standards act and is not eligible for overtime pay.
Bachelors degree in Business, Data Management, Statistics, Math, Economics, or related field with seven years of relevant experience
High school diploma or GED with ten years of direct analyst experience
Demonstrated analytical and problem solving skills
Demonstrated ability to collaborate with both technical and business staff
A fundamental understanding of project management
Skills and Competencies
Proficient in Microsoft Office (Word, Excel and Power Point)
Problem solving and investigative skills
Excellent organization and time management skills
Report writing, including charts, graphs, etc.
Aptitude for math and the ability to review and understand numeric data, graphs, and statistics
Detailed and thorough
Ability to work equally well on self-managed or team-oriented projects
Proactive and adaptable
Excellent communication skills – must be able to translate complex issues to multiple levels in the organization
Ability to multi-task, prioritize work accurately, flexibly and efficiently under pressure
Experience with SQL queries/scripting and SQL reporting is strongly preferred
MUST have advanced Excel knowledge
Knowledge of data mining tools
Knowledge of DDA/SAV systems is a PLUS
Fraud and/or financial services experience is a PLUS
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