The Employee Experience team is seeking a data analyst who is skilled in managing and organizing large data sets (both quantitative and qualitative in nature) utilizing various software applications and formats, linking data set to ancillary data sources, and analyzing and translating findings into engaging dashboards and/or for easy consumption.
The successful candidate will be able to effectively manage data across multiple platforms to organize, analyze, distill and disseminate in accordance with pre-established requirements and dynamic requirements.
While this is not primarily a client-facing role, the position will involve some client interactions and delivering on client requirements.
Key Responsibilities: Manage and summarize unstructured data, in combination with other structured data sources, into actionable insights Manage, structure and analyze large data files and provide insights Retrieve, combine and transform data from numerous information systems Translate and summarize complex analysis into understandable, actionable insights and recommendations that directly drive effective business strategy Work effectively in a team environment, as well as independently, to deliver against key business initiatives Take initiatives and drive each project to completion while effectively managing other projects
Required Qualifications: Bachelor's degree or equivalent in Statistics, Mathematics, Engineering or Sciences 5+ years' hands-on experience in business intelligence, data analysis, and trend analysis with various forms of data 3+ years' experience with big data applications (i.e., SPSS, R, Python, SQL etc.,) to analyze large data sets and produce insights for broad consumption Ability to quickly learn new applications and technologies to better upon clients' requirements Experience with common NLP techniques, such as Pre-processing (tokenization, part-of-speech tagging, parsing, stemming); Semantic analysis (named entity recognition) Preferred Qualifications: Hands on understanding of SPSS, R, Python and various text analytics tools; other analytical tools that support big data model Experience evaluating new technology for creating and delivering report products.
Associated topics: data analyst, data engineer, data integration, data integrity, data scientist, database administrator, etl, erp, mongo database administrator, sybase
* The salary listed in the header is an estimate based on salary data for similar jobs in the same area. Salary or compensation data found in the job description is accurate.