The Data Analytics Specialist is responsible for contributing, both individually and as a part of a team, to design and implement processes related to predictive/analytical modeling, data mining and research on large scale, complex data sets. This position uses statistical analysis, graph modeling, text mining and other analytical techniques from initial data collection and conditioning to draw conclusions and results. This position collaborates with various internal and vendor teams, and provides periodic updates to stakeholders through presentations and prototype demonstrations.
Key responsibilities include:
Bachelor's Degree in a technical discipline (e.g., engineering, mathematics, or statistics) required. Advanced degree in a technical discipline, engineering, mathematics, statistics, finance/economics or business management) is preferred, and will be considered in lieu of experience. One year of professional-level experience contributing individually or as part of a team to manage data analytics projects is required; relevant professional level internship experience will be considered.
In addition to the above qualifications, the successful candidate will demonstrate:
Knowledge of data mining/predictive modeling tools such as SAS, SPSS, etc. Understanding of predictive/analytical modeling techniques, theories, principles, and practices. Experience in more than one of: applying decision trees, logistic regression, factor analysis, statistical modeling, text mining and other advanced analytic techniques. Ability to conduct research into predictive/analytical modeling issues, practices, and products as required. Ability to interpret the results of analytical work, assess its relevance, and communicate the information in plain language. Proficient in working on multiple projects simultaneously, often with tight deadlines.
Ameren’s selection process includes a series of interviews and may include a leadership assessment process. Specific details will be provided to qualified candidates.
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability or protected veteran status.