The Data Analyst takes a lead role in supporting key and strategic decision making by providing detailed data/metrics reporting, analysis, and insights as well as financial and operational modeling in a rapidly growing business. This person has an abundant amount of curiosity, is thirsty for data and has razor sharp problem solving, advanced querying and data analysis skills and experience to provide needed information to automate, streamline and improve overall reporting, processes and performance. 

KEY JOB RESPONSIBILITIES:

• To creatively and proactively think, explore and investigate actionable uses, opportunities, impact and value that data can provide to the organization, leadership and our team members.
• Analyze and provide quality data and reporting for performance (trend) analysis across all areas and leverage data to help the Credit Union achieve its strategic, financial and operational goals, needs and objectives. It’s a data ninja role!
• Using visualization software and SQL queries, design and create dashboards and custom reports with interactive views, analysis, and drill downs.
• Assist with the administration, upgrades, security and maintenance of dashboard visualization software.
• Participate in end-user requirement gathering and visualization design meetings.
• Be a data expert across all systems and areas and provide data-driven insights, explanations and recommendations to help initiate and support smart business, process, growth and product decisions and practices. Owns or assists with adhoc analysis and special projects; utilizes dashboards, databases (SQL and DB2), Excel, tables and other analytical tools.
• Takes pride and ownership of data reporting and dashboards to ensure data is consistent, accurate, usable, understandable, actionable and effectively presented/communicated for planned and unplanned projects, needs and requests. Be a champion of data across our organization!
• Developing and maintaining business intelligence solutions.
• To work collaboratively, cross-functionally and be a trusted resource while developing and maintaining great relationships with all teams, levels and leadership.
• Coordinates and works closely with Technology Solutions to remedy technical and other issues impacting mission-critical sources, data or output.
• Performs other responsibilities as assigned.

QUALIFICATIONS/REQUIREMENTS:

• Bachelor’s Degree in Business with emphasis on quantitative coursework, Business Intelligence, Statistics, Mathematics, Analytics, Quantitative Analysis or similar type degree.
• Minimum of 3 years of experience with analyzing and reporting all types of data and metrics, including modeling and forecasting.
• Must have a minimum of 3 years of razor sharp problem solving, analytical skills and a proficiency with querying and reporting using databases, Excel, SQL and DB2 databases, tables and queries as well as other statistical and quantitative analytical tools.
• Minimum of 2 years of experience with metric/dashboard visualization software. Experience with Qlik is a plus
• Will need to help manage and ensure data quality, usability and reporting is consistent and accurate throughout the organization and systems. 
• Demonstrated excellence in creating, developing and presenting statistical and quantitative graphical presentations with large amounts of complex data.
• Excellent verbal, interpersonal and written communication skills and have a cooperative and positive attitude towards all; Have ability to effectively communicate complex technical concepts and ideas in a non-technical, simple manner across different levels.
• Need to have an open-mind and be super curious and passionate about data and insights within the Credit Union, industry.
• Demonstrated experience researching, trouble shooting and resolving complex technical topics, data, programming and system needs.
• Need strong organizational, project management and time management skills along with the ability to work with cross-functional teams and handle aggressive deadlines. Flexibility and a sense of urgency is a must.
• Excellent listening skills, attention to details, accuracy and acceptance of feedback is mission critical.
• Ability to work independently with minimal daily supervision yet proactively contribute and enhance the success of the Data Analytics team while providing organizational value.