Randstad Data Analyst in Memphis, Tennessee
Monday, October 10, 2016
HR Data Analyst in Memphis, TN
Responsible for combining different sources of business data to contribute to HR related strategic and operational decision making. Partners in the research and development of data models to produce workforce insights around employee attitudes, preferences, and experiences. Designs, builds, and validates workforce models aimed at predicting talent outcomes supporting attraction, workforce development, engagement, and retention.
Contributes to the detailed statistical analysis of our Human Capital, in order to identify actionable insights, and building (predictive) models.
Creates and statistically analyzes large data sets of internal and external data.
Produces results from these analyses that will be used to drive HR investments and talent management decisions, and assess HR program effectiveness.
Prepares results to be communicated across the organization in a way that informs and drives the organization to action.
Works with vendors, IT, and business customers to help develop requirements for employee/workforce data
Performs data analysis and rigorous testing to ensure high quality assets.
Analyzes new data sources for availability and quality, and integrates with internal sources to support research or analytics.
Builds both ad hoc and reusable data access code and maintains that code to support analytics.
Provides training and support to analytics team and advance users.
Partners with IT on data, reporting, and analytics projects as needed.
Creates and maintains documentation for models and outcomes.
- Bachelor s degree in relevant fields such as Statistics, Econometrics, Operations Research, or Applied Mathematics.
· Experience in handling data in large quantities
(e.g. Hadoop, SQL databases)
· Experience with analytical (visualization) software
such as SAS, R. Matlab, Scipy
2-5 years of relevant experience. No experience with HR is required.
Critical thinking skills in formulating hypotheses, interpreting results.
Ability to anticipate problems and opportunities and the initiative to pursue solutions.
Intellectual curiosity and ability to handle high levels of ambiguity
Ability to communicate complex statistical concepts and output to non-experts in both a written and verbal manner.
Ability to work under pressure and within tight deadlines
Attention to detail