IT Support

Product Support Specialist (Tableau, Excel, SAS MDAW experience, Reliability analysis, Databricks)Hybrid schedule, need to be onsite as needed by manager at client facility in Waterloo, IA.

• Tableau
• Microsoft Excel
• SAS MDAW experience: 1-3+ years
• Reliability analysis and Databricks experience desired

• Collaborates with business and analytics leaders to generate insights and answer business questions byusing analytics techniques such as advanced data visualization, statistical analysis, randomized testing,predictive modeling, forecasting, optimization, and/or machine learning.
• Proposes innovative ways to look at problems by using these approaches on available enterprise data as well as customer third party data and information.
• Validates findings using experimental and iterative approaches.
• This level performs basic statistical analysis of low to moderately complex data from a single source, with heavy reliance on industry/standardized tools and existing models.
• Output is reviewed by higher-level Data Scientists or Analytics Manager for execution.

• Works with data sets and performs appropriate analytical methodology to provide insights anddecision modeling for the business.
• Creates and implements algorithms which manage the data to enable it to be analyzed in an efficientmanner.
• Supports the communication of derived insights, especially through appropriate visualizationtechniques.
• Supports the identification of the required data sources and works with Data Wranglers and/or IT to implement methodologies to retrieve and use this data.
• Stays abreast of the latest appropriate analytical techniques and recommends these where needed.
• Explains implementation and usage in business terms.
• Applies analytical techniques to prospect for business insights and find patterns in data which couldbe valuable for the business

• Business process knowledge of assigned area(s) and/or function(s)
• Knowledge of advanced data gathering and analysis techniques, including statistical analysis
• Knowledge of appropriate industry
• Good interpersonal, negotiation and conflict resolution skills
• Excellence in verbal and written communication forms with emphasis on persuasive communication,tact and negotiation
• Quantitative analytical skills

• Degree in a Math discipline or equivalent experience
• Degree in an Economics discipline or equivalent experience
• Degree in a Statistics discipline or equivalent experience