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BTO Data Analyst

Company:
Hexaware
Location:
United States
Pay:
$60-65/hr
Posted:
July 24, 2025
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Description:

Description

Position : Data Analyst

Location : McLean, VA (Onsite)

Rate - $60-65/hr. on C2C

Responsibilities:

We are seeking a highly skilled and motivated Data Analyst with strong SQL/BI expertise and excellent communication skills.

Experience with the Secondary Mortgage Market is necessary.

Ability to read code to understand how application uses data

Knowledge of Java, DataStage, Informatica, SAS, Python etc.

Develop and maintain comprehensive documentation of business processes, systems, and data flows.

Candidate will be primarily responsible to understand and document the current data mappings in existing system and create the data mappings in the new system.

Utilize SQL to extract, manipulate, and analyze data to support business decision-making and process improvements.

Work closely with IT teams to design, test, and implement system enhancements and new applications.

Facilitate effective communication between technical and non-technical stakeholders to ensure alignment and understanding.

Conduct regular reviews and evaluations of system performance, identifying areas for improvement.

Provide training and support to end-users to ensure efficient use of business systems.

Qualifications:

Bachelor's degree in Business Administration, Information Systems, Computer Science, or a related field.

Must have experience with RDBMS including but not limited to Oracle, DB2

Strong proficiency in SQL for data analysis and reporting.

Excellent verbal and written communication skills, with the ability to convey complex information clearly and concisely.

Analytical mindset with strong problem-solving skills.

Must have strong experience and knowledge of the Secondary Mortgage Domain.

Ability to work independently and collaboratively in a team environment. Strong attention to detail and organizational skills.

Preferred Skills:

Familiarity with mortgage industry processes and terminology.

Experience with data visualization tools and techniques. Understanding of project management methodologies and tools.

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