SAS Data Analyst(SAS Programming, SQL Database, Auditing)- Banking Client exp preferred- Only W2 Hiring; Local candidates who can attend In-Person interview

Overview

On Site
$65 - $70
Contract - Independent
Contract - W2
Contract - 9 Month(s)

Skills

SQL
SAS Programming
Python
Data warehouse
VLDB
Banking
Large Databases
Auditing

Job Details

Title: SAS Data Analyst
Duration: 9 months Contract
Location: Atlanta, GA OR Charlotte, NC OR Dallas, TX OR Raleigh, NC OR Greensboro,NC OR Richmond, VA OR Wilson (4-days on site)

Only Local Candidates will be considered who is ready to attend In-Person interview for final round of discussion.

Overview: Looking for people focused on the data analytics space, supporting audit and issue evaluations. Example: These can be one-time pull data or do a heavier data analysis/investigative work(looking for outliners).

Main Skills:

  1. SQL
  2. SAS (Python as a secondary)
  3. Working Multiple Datasets (understanding of Enterprise Data Warehouse concepts)

Skills Overview:

  • 5-10 years of experience in data analytics, data science
  • Strong SQL skills (writing SQL from scratch, queries, complex joins) no stored procedure or tables.
  • SAS customization
    • Do not need both SAS and Python
    • (re-executed and executing data might not be the right fit.) need to have coding expertise to analyze and identify outliers
    • SAS programming do code reviews.
    • Python as a secondary
    • Data extraction, data manipulation , data reporting (pulling insights from the data)
    • No ETL pipelining or performance tuning required
  • Need to work with non-tech folks as well to be able to accomplish ask
  • Banking/financial services is preferred BUT I am open to other enterprise experience
    • Audit is only a nice to have skill, not required

ESSENTIAL DUTIES AND RESPONSIBILITIES
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
Required Skills:
Required Qualifications


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 (IS A MUST). 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 (IS A MUST). 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 (CANDIDATES MUST HAVE EXPERIENCE WORKING WITH MULTIPLE DATASETS)
5. Familiarity in using a query analysis tool.
6. Experience with Python. (preferred, nice to have)
Nice To Have Skills:

  1. Banking or financial services experience.
  2. Experience working with Informatica.
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