• Strong technical competency and programming skills in large-scale data analysis using coding/querying languages including at least one of SAS, Python, or R.  Others desired to be cognizant of are Spark, T-SQL, and PL-SQL. 
• Analysis, design, development, test, troubleshooting and documentation of complex systems including several of the following: predictive models, feature extraction, data-driven analysis, application of machine learning algorithms, text mining, decision support, variable selection and model fit
• Knowledge of data migration and integration across datasets and technology platforms
• Deep analytical capability to debug, monitor, and troubleshoot issues with data solutions
• Effective communication (verbal/written) and leadership skills to foster enterprise influence on data-driven business decision-making
• Ability to transform technical jargon into meaningful business insight at varying levels of the organization
• Comprehensive consulting skills with proven ability to work with and influence others
• Excellent customer service skills and focus on delivery with a positive attitude
• Self-starter with ability to work independently with minimal guidance
• Continuous self-learner with perspective on industry trends in the data space
• Ability to handle multiple assignments and conflicting priorities
• Ability to build productive relationships with a focus on cooperation and teamwork 
• Experience with data visualization in Power BI, Tableau, SSRS, or other comparable tools.
• Experience working with large enterprise databases with demonstrated ability to independently query and prepare data for analysis.
• Familiarity with Machine Learning, Artificial Intelligence, and/or production level model deployment. 
• Basic HTML knowledge
• Knowledge of front-end tools such as query tools, report writers, data mining, and analysis tools.
• Advanced level of proficiency with Power BI, Microsoft Excel, Access, Word, and PowerPoint 
• Ability to locate and summarize data characteristics

• The Data Analyst is responsible for collecting, organizing, mining, and deeply analyzing data to draw conclusions and develop insights using Power BU that enables better decision-making and operational effectiveness of  business units. 
• Data scientists possess a combination of analytical skills, technical expertise, and business acumen in addition to intellectual curiosity that drives their passion to transform raw intelligence into actionable insights that produce desired business outcomes. 
• Going beyond established analytical thinking and problem-solving, the data scientist will apply creativity to unconventional concepts and out-of-the-box solutions. 
• Other skillsets needed in this role include a working knowledge and awareness of mathematical principles and statistics, astute ability to communicate at all levels of the organization, and the ability to monitor industry trends to position for future growth and maturity in the data space. 
• More specifically, this role is advanced in the use of Power Bi, performs data management and data analysis to track, monitor, and optimize the performance of decision-making and support of marketing initiatives.  

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