Data analyst Jobs in USA

Advance your career with Mindlance! We have been connecting talented IT professionals with world-class companies since 1999. Mindlance is here to help you to find the perfect fit with just the right company. Currently, we are seeking an Operational Analyst for an exciting career growth opportunity. Make your next big career move with the kind of position that will allow you to be genuinely passionate about the work you do! Our recruiters will work closely with you to help you get the edge over the competition. Let Mindlance advocate for you – apply today! “Mindlance is an Equal Opportunity Employer and does not discriminate in employment on the basis of – Minority/Gender/Disability/Religion/LGBTQI/Age/Veterans.” Job Title: Data Analyst Job Category: 9 Months (Contract to Hire) Industry: Banking Job Location: 214 N Tryon St STE 3, Charlotte, NC 28202 Top 3/5 Skills: Data Analysis, SAS, SQL, Python Min & Max Pay Rate (Ex: $70.00 /hr. – $75.00/hr.) Business Initiative/Purpose: Data Analytics support for audit work planned for 2026 & help with identifying automation use cases. Role Responsibilities: Gather, analyze, document and maintain all data requirements related to the business applications, interfaces and reporting environments. Apply standards and best practices to ensure the Bank's data is accurate, complete, current, understandable and accessible. Work closely with internal clients, Audit Delivery Teams, business analysts and development project teams to resolve information flow and content issues. Essential Duties & Responsibilities: Following is a summary of the essential functions for this job. Other duties may be performed, both major and minor, which are not mentioned below. Specific activities may change from time to time. 1. Gathers, reviews, analyzes, profiles, validates and maps system data into the data warehouse to meet reporting and analytical business needs. 2. Performs data analysis and troubleshooting on data-related issues reported by production support and other teams. 3. Develops solutions and recommendations for improving data integrity issues. Analyzes data issues and works with development teams for problem resolutions. Identifies problematic areas and conducts research to determine the best course of action to correct the data, identify, analyze and interpret trends and patterns in complex datasets. 4. Determines and analyzes line of business requirements, use system data, and provide input needed by various departments and senior management to produce business reports. 5. Works with extract, transform and load (ETL) developers to test and validate data attributes and with other business analysts to ensure data is integrated consistently, regardless of the source system. 6. Works with business analysts and project teams to provide accurate documentation of data related project and support deliverables. And with source system business analysts to understand system nuances and resolve data issues. Takes ownership of issues through resolution including close coordination between business analysts. 7. Ability to act as liaison between Audit team and business team. Must Have Skills/Prior Experiences: Required Qualifications: The requirements listed below are representative of the knowledge, skill and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. 1. Bachelor's degree in information technology, information systems, computer science or business-related field, six years of experience in a role of data analysis, statistical analysis, data transformation, data reconciliation and/or sophisticated data presentation or equivalent education and related training or experience 2. Hands-on Knowledge of SQL Queries. Proficient in analyzing and understanding existing SQL queries to make necessary modifications and capable of developing new queries as needed. 3. Hands-on Experience with SAS. Proficient in analyzing and understanding existing SAS programs to make necessary modifications and capable of developing new programs as needed. 4. Understanding of Enterprise Data Warehouse concepts and prior experience applying that understanding to query data in a Very Large Database (VLDB) environment 5. Familiarity in using a query analysis tool. 6. Experience with Python. Plus/Nice to Have Skills/Prior Experiences: Preferred Qualifications: · Banking or financial services experience. · Audit experience.