Data Scientist/Analyst

Data Scientist/Analyst

Large Banking Client

Duration: 9 months - potential to extend and ideally want to convert this person FTE.

Charlotte, NC or Atlanta, GA- 4 days onsite 1 remote

Top Requirements:

• 5 years as a Data Analyst, Business Data Analyst, Data Scientist, or similar experience
• Large Banking or Financial Services Industry Experience. Or experience working in a highly regulated environment. (For Ex. Healthcare)
• SAS
• SQL - strong
• Experience working in an ETL Environment
• Need to have worked with large datasets
• Experience Gathering Requirements and working with Stakeholders

Plusses:

• Python Scripting
• Informatica

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 AND 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."

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. Experience in ETL Development using standard tools

3. Understanding of Enterprise Data Warehouse concepts and prior experience applying that understanding to query data in a Very Large Database (VLDB) environment

4. Familiarity in using a query analysis tool.

5. Knowledge of SQL Queries.

6. Experience with SAS.

7. Experience with Python."

Preferred Qualifications:

1. Banking or financial services experience.

2. Experience working with Informatica.

3. Audit experience"