Data Analyst III

Candidates must live in the state of Texas

or USC

As a Data Analyst III, you will be responsible for utilizing quantitative and qualitative analysis tools to provide data-driven insights that help the business achieve its strategic goals and priorities. You will use your analytical skills, innovative personality and desire to build relationships to collaborate with multiple lines of businesses. These insights will help you understand the problem at hand and create an analysis plan to leverage the appropriate data and data analysis techniques.

Responsibilites:

Collaborate with the line of business to understand the problem at hand and create an analysis plan to leverage the appropriate data and data analysis techniques to solve the problem.

Advise and collaborate with the line of business in the selection and monitoring of appropriate KPI s that best describe the solution s success.

Collect and organize data from internal and external data sources. Leverage and integrate multiple datasets to perform complex analyses.

Employ advanced data analysis techniques to answer the business question and make actionable recommendations.

Make recommendations to Product Teams, lines of business, and management based on data analysis findings that support actionable solutions.

Oversee the full lifecycle of BI reporting solutions. Create data visualizations that clearly and concisely convey findings to stakeholders.

Create scalable, logically consistent models that can be applied to diverse projects across the enterprise.

Maintain an expert knowledge of current market and IT trends to optimize and improve analytical techniques and support competitive analysis and risk reduction.

Ensure data integrity by identifying and collecting clean data sources, reviewing data sources for anomalies, optimizing data collection methods and standards, and performing data validations.

Identify opportunities to automate regularly performed ad-hoc data analysis requests.

Mentor, guide and lead Data Analysts across the Enterprise.

Qualifications:

Bachelor s degree in Data Science, Statistics, Mathematics, Economics, in a related field, or equivalent experience

Extensive experience with standard and advanced data analysis techniques such as regression, trend lines, forecasting, modeling, clustering, Hypothesis Testing, Content Analysis and Narrative Analysis

Proficient in multiple query languages, statistical languages, analysis software, and core data analysis systems

4 years of data analysis experience

Experience with CLS /ACBS - Commercial Lending System data analysis for integration

Demonstrated experience working with database management systems (DBMS), schema development, and a variety of data types and structured data therein

Demonstrated experience in effectively presenting data-based insights and recommendations to all levels of stakeholders

Excellent written and verbal communication skills

Proficient in Microsoft office applications

Additional Preferred Skills:

Experience in the Financial Services industry

Experience with data from multiple sources for regulatory and compliance reporting

Working knowledge of Agile methodologies

Extensive SQL writing experience

Knowledge in Informatica, Teradata, and JIRA