Responsibilities:

• Identify, analyze, and interpret trends or patterns in complex data sets
• Turn data into information and information into knowledge
• Extract data from needed sources to answer business questions
• Transforms data to align to other data sources
• Prove and/or disprove assumptions with data backed outcomes
• Create high quality reports, charts and metrics for an executive level audience
• Prepare reports, KPIs and other trending metrics
• Develop, improve and automate scorecards and dashboards that drive insight and action
• Locate and define opportunities for process improvement
• Build databases, data files, and their supporting systems for reporting KPI, metrics and system analytics
• Critical thinking, creative problem solving, and resourcefulness a must
• Creating databases, data models and repeatable ETL processes

Qualifications:

• Self-starter who can work independently with little direction
• High level of accuracy and attention to detail
• Talented user of MS Excel, PowerPoint, and Visio
• Experience using database technologies (SQL, Oracle, MySQL, PostgresSQL) and working with large data sets
• Use and understanding of No-SQL database technologies (MongoDB, CouchDB, Redis)
• Skill in creating repeatable and automated processes
• Excellent written and verbal communications
• Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy.
• Strong knowledge of and experience with reporting packages, databases (SQL), and programming (XML, scripting).
• Skilled at queries, reporting writing and presenting findings
• Six Sigma certification is preferred but not necessary
• ITIL v3 certification is preferred but not necessary
• A bachelor's degree in mathematics, statistics, or computer science is preferred.Corresponding years of experience and/or relevant certifications will be considered in lieu of a bachelor's degree