Top Hybrid Data & Analytics Jobs in Charlotte, NC
Lead the Data and Analytics services to help organisations uncover insights and drive business results, align client data strategies to business goals, and participate in business development efforts.
Senior Analyst role in Financial Data Governance responsible for ensuring data integrity in financial reporting and accounting, analyzing data assets, and implementing data governance policies and standards to drive business outcomes.
Join our team as a Senior Data Scientist in Fraud Risk, responsible for identifying and preventing fraud and credit risks using analytical skills and machine learning solutions. Collaborate with various teams to influence the global Risk roadmap and processes, and contribute to Square's Banking initiatives.
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Join Square as a Senior Data Scientist in the Fraud Risk team to identify and prevent fraud & credit risks, manage top level Risk KPIs, establish core operational metrics, and make improvements using machine learning solutions. Partner with various teams to influence product roadmaps and develop risk detection strategies.
Seeking a Motorsports Computational Fluid Dynamics Analyst to work with GM Motorsports colleagues and GM Key Partner teams, provide support for wind tunnel and track development, and contribute to innovation in the motorsports industry.
The HR Information Systems Senior Analyst will provide expertise in HRIS technology systems, project management, data analysis, system administration, and vendor management. Responsibilities include system enhancement, project management, troubleshooting, vendor relationship management, security administration, documentation, and testing coordination.
The Technical/Functional Systems Analyst will provide day-to-day operational support for the Kronos (UKG) Workforce AutoTime system, troubleshoot data issues, create ad-hoc queries, and ensure timely issue resolution. Must have 3+ years of experience supporting timekeeping applications and 5+ years in a multi-tiered application environment. Knowledge of Oracle databases, SQL, and PL/SQL is required.
Lead the development lifecycle of ML models, maintain pipelines, collaborate with team members, stay updated on ML technologies, adhere to code standards, present data stories, and mentor junior team members in a Fortune 50 retailer's Forecasting team.
Lead the development and maintenance of fraud and credit risk rules using ML models and data. Collaborate with teams to leverage models and data for business needs and create efficient decision science solutions. Represent the team in internal and external forums and contribute to the evolution of data infrastructure.
Responsible for daily deposit operations functions, including reconciling customer accounts and resolving transaction-driven customer issues. Monitor transaction processing, research exception items, process financial adjustments, and maintain operational reconciliation procedures. Requires adaptability, attention to detail, problem-solving skills, and confidentiality. Bachelor's degree or equivalent experience preferred.
Top hybrid Companies in Charlotte, NC Hiring Data + Analytics Roles
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