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2205 Data Analyst

Location: Bend, OR

Description:
We are seeking to cover staffing needs for executing tasks related to Data Analysis, involving descriptive, predictive and prescriptive analysis of the company’s data to help inform business decisions as part of individual assignments, participation in working groups and/or as part of PMO led projects. If you’re interested, please send your resume to careers@itmotives.com. We value diversity in the workplace and encourage women, minorities, and veterans to apply. Thank you!

Job Type: Contract

Additional Information:
The following are the key responsibilities:
●            Lead discovery processes of high complexity with stakeholders to identify the business requirements and the expected outcome; analyze data that is accurate and reliable to support business issue resolution and to identify opportunities
●            Scope includes internal and external data sources and data available from up and coming technologies; use analysis techniques that include use of experimental, statistical and other data science approaches to gain insight and/or test hypotheses; deliver targeted outcomes using descriptive, predictive and prescriptive analysis techniques;
●            Utilize patterns and variations in the volume, speed and other characteristics of data in predictive analysis; present analysis and rationale of recommendations in easy to understand terms;
●            Communicate and work with business subject matter experts and organization leadership
 
Required Technical Skills/Knowledge:
●            Advanced technical skills including acquiring new datasets, parsing datasets, filtering and organizing data, mining data for patterns, representing data visually, machine-learning algorithms and automating data-driven models
●            Adept at knowledge discovery and data inference and exploration, as well as predictive and prescriptive analytics approaches
●            Experience with types of technologies from big data tools to advanced analytics platforms and programming languages such as: SQL, Python, R, DataIku, Hadoop/HDFS, SAS, Matlab, MapReduce, Pig and Hive
●            Mathematical analysis skills that include regression analysis, data sampling, experimentation (hypothesis) design, correlation and conjoint analysis
●            Ability to design data analysis approaches to meet target outcomes using best-practice data science techniques
●            Ability to complete fact-based data analysis as part of business case development
●            Ability to create business algorithms/models by understanding underlying relationships in data