Perform sophisticated analytics (statistical & predictive analytics, machine learning modeling, etc.) to provide actionable insights that improve business outcomes & minimize risk. Independently perform sophisticated data analytics (ranging from classical econometrics to machine learning, neural networks, & natural language processing) in a variety of environments using structured & unstructured data.
Requirements:
Must have a Bachelor's degree in Data Science, Analytics, MIS, Engineering or related field with quantitative coursework, plus 4 years of experience in quantitative or data analytics positions performing/utilizing the following:
- Statistical methods, including a broad understanding of classical statistics, probability theory, econometrics, time-series, & primary statistical tests
- Data cleansing & preparation methodologies, including regex, filtering, indexing, interpolation, & outlier treatment
- Data Analysis techniques, Exploratory Data Analysis, Data Visualization to effectively communicate to stakeholders, clarify requirements & make effective suggestions
- Natural Language Processing techniques & other related Deep Learning knowledge
- Managing multiple projects with tight deadlines in a collaborative environment
- Utilizing experience with: SQL, SAS, Python, R, Tableau, Adobe Analytics, Actimize
- Databases, including Teradata, MS SQL Server, Oracle, & Hadoop
- Job Schedulers: ESP, Control-M
Alternatively, employer will accept Master's Degree in Data Science, Analytics, MIS, Engineering or related field with quantitative coursework plus 2 years of experience in quantitative or data analytics positions performing/utilizing the aforementioned skills.
Position may be eligible to work hybrid/remotely but is based out of & reports to Truist offices in Atlanta, GA. Must be available to travel to Atlanta, GA regularly for meetings & reviews with manager & project teams within 24-hours' notice.
Application Instructions:
Apply online (https://careers.truist.com/) or email resume to: Paige.Whitesell@Truist.com. (Ref Job# RO105617)
JOBS.NOW Note: To tap into these hidden job opportunities, it's crucial to adhere strictly to the application process outlined in each job ad. At JOBS.NOW, we ensure that every listing includes detailed employer instructions. Follow them precisely to be considered for these unique positions!
The "Log Application" button simply allows you to log the application for your records - JOBS.NOW does not submit any applications to employers directly. Remember to still apply through the method indicated in the job ad (mail, email, or via link).
Please note that JOBS.NOW is an independent website and does not post this listings on behalf of any employers nor do we receive any compensation for these listings. All listings are sourced via media or internet channels required by the PERM process.