The Role:
Are you a data science geek that can help us gain insights into our massive amounts of data pouring in every single day? Could you spend your days lost in a deep forest or hanging out on the branches of a decision tree? Our Data Analytics team supports operational improvement and business decision-making through ad-hoc statistical analysis of curated enterprise data and self-constructed data sets.
What You'll Do (Responsibilities) :
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You provide guidance on describing enterprise or vehicle performance using statistical methods and can craft ad-hoc reports to share findings and recommendations with business partners.
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You thrive in reciprocal environments with leaders and managers to resolve and address ad-hoc data and reporting needs.
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Build statistical models that depict company-wide trends.
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You perform testing and validation of data sets.
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You enjoy the challenge of determining the meaning of data and explaining how various teams and leaders can leverage it to improve and streamline their processes
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You enjoy keeping defined structures in documentation and data and have a large toolset in statistical methodologies to tackle business problems.
Your Skills & Abilities (Required Qualifications):
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In addition to being insightful and generally clever, you have at least 7 years of experience in most of the following:
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Data Integration: SQL; NoSQL(Hadoop, Casandra); Alteryx, Trifacta
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Business Intelligence/Reporting Tools: Tableau, Power BI, Excel, JMP, SAS, SPSS, Cognos
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Databases: Access, Oracle, SQL Server, DB2
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Using your extensive experience, data, and judgment to plan and accomplish goals
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Proficient in statistical methods such as regression, probability analysis, risk analysis, statistical process control
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Understanding of data gathering, inspecting, cleansing, transforming, and modeling/diagramming techniques
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Communication skills with the ability to distill complex subjects to a wider audience
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Excellent collaboration and project management skills
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