The company is looking to optimize statistical efficiency and quality by developing and implementing databases, data collection systems, data analytics, and other strategies.
Requirements
- Technical expertise regarding data models, database design development, data mining and segmentation techniques
- Strong knowledge of and experience with reporting packages (Business Objects etc), databases (SQL etc), programming (XML, Javascript, or ETL frameworks)
- Knowledge of statistics and experience using statistical packages for analyzing datasets (Excel, SPSS, SAS etc)
- Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy.
- Adept at queries, report writing and presenting findings.
- Extensive experience with Microsoft Office Suite, including Outlook, Word, Excel, PowerPoint and Calendar
- 2+ years’ Data mining experience
Responsibilities
- Interpret data, analyze results using statistical techniques and provide ongoing reports.
- Designing and maintaining data systems and databases; this includes fixing coding errors and other data-related problems.
- Mining data from primary and secondary sources, then reorganizing said data in a format that can be easily read by either human or machine.
- Using statistical tools to interpret data sets, paying particular attention to trends and patterns that could be valuable for diagnostic and predictive analytics efforts.
- Preparing reports for executive leadership that effectively communicate trends, patterns, and predictions using relevant data.
- Collaborating with programmers, engineers, and organizational leaders to identify opportunities for process improvements, recommend system modifications, and develop policies for data governance.
- Creating appropriate documentation that allows stakeholders to understand the steps of the data analysis process and duplicate or replicate the analysis if necessary.
Other
- Bachelor’s Degree in Mathematics or Computer Engineering
- Must be 21 years of age
- Must have valid driver license
- Must pass drug screen, criminal background checks and driver’s license check
- Working extended hours, including evenings and weekends are required.
