1903 Analyst Structured Load Analytics jobs in New York,NY

Bachelor's degree and minimum of 2 years of experience in analytics or in lieu of a degree 8 years of experience in retail, business, or private label credit
2+ years of experience in Credit, Collections, Risk, Finance, or other Data Analytics role
2+ year experience with SAS, SQL, or Python programming language experience
1+ year experience with SAS Visual Analytics or Tableau
Ability and flexibility to travel for business as required
You must be 18 years or older
You must have a high school diploma or equivalent
You must be willing to take a drug test, submit to a background investigation and submit fingerprints as part of the onboarding process
You must be able to satisfy the requirements of Section 19 of the Federal Deposit Insurance Act.
New hires (Level 4-7) must have 9 months of continuous service with the company before they are eligible to post on other roles. Once this new hire time in position requirement is met, the associate will have a minimum 6 months' time in position before they can post for future non-exempt roles. Employees, level 8 or greater, must have at least 18 months' time in position before they can post. All internal employees must consistently meet performance expectations and have approval from your manager to post (or the approval of your manager and HR if you don't meet the time in position or performance expectations).
Legal authorization to work in the U.S. is required.

UVEye

Teaneck, NJ 07666

5+ years of experience in business analysis, analytics, or business intelligence roles.
Strong proficiency in SQL 5+ years of experience in Business Analytics, Business Intelligence, Strategy & Operations, or related analytical roles.
Advanced SQL skills and experience with Looker, BigQuery, or similar BI/data warehouse tools.
Experience building dashboards, KPI reporting frameworks, and data visualizations.
Strong analytical, problem-solving, and communication skills with the ability to influence stakeholders across all levels.
Proven ability to translate complex data into actionable business insights and recommendations.
Experience leading cross-functional initiatives in fast-paced, high-growth environments.
Experience with operational analytics, process optimization, and ROI/financial analysis.
Familiarity with ETL processes, data governance, and data quality best practices.
Bachelor's degree in Business, Finance, Economics, Data Analytics, Data Science, or a related field.
In addition: Experience in automotive, rental, mobility, fleet management, fintech, SaaS, or operationally focused environments preferred.

Santander Holdings USA

New York, NY 10012

Bachelor's degree in computer science, Information Systems, Data Analytics, Finance, Mathematics, or related field
3–5 years of experience in AML Compliance Technology, AML model development, or a related field within banking or financial services
Strong programming and analytical experience using SAS for data analysis, reporting, model support, and testing
Good working knowledge of Python for data manipulation, scripting, automation, and analytical processing
Strong SQL skills with experience developing complex queries, joins, procedures, and handling large-scale datasets
Experience working with Jira for Agile project tracking, sprint management, and defect lifecycle management
Working knowledge of testing methodologies including functional testing, regression testing, SIT, and UAT
Understanding of AML regulations and compliance frameworks including BSA/AML, OFAC, KYC, and transaction monitoring concepts
Strong analytical, quantitative, and problem-solving skills
Ability to multitask, manage priorities, and work effectively in fast-paced environments
Strong communication, documentation, and stakeholder management skills
Applicants must be legally authorized to work in the United States on a full-time basis without requiring employer sponsorship to commence employment