Data Analyst
THIS ROLE IS OPEN FOR SPONSORED CANDIDATES
CANDIDATES WITHIN 25 MILES FROM MCLEAN, VA ARE ENCOURAGED TO APPLY
THIS ROLE REQUIRES THE ANALYST TO BE ONSITE (HYBRID), 3 DAYS A WEEK
THIS ROLE IS FOR A DIRECT CLIENT
Data Analyst Senior
Duration: 6 - 12 months contract. Opportunity for extension OR conversion (conversion for eligible candidates only).
Location: Onsite (Hybrid) in McLean, VA on Tuesday, Wednesday and Thursday
Years of
Experience: 3+
Must Haves: The Analyst must have at least three years of hands on programming experience using Python, SQL and SAS. Additionally, the Analyst must have hands on experience working with large data sets and relational databases. Experience in the Mortgage or fintech industry would be a huge plus, but it's not required.
Qualification:
Degree in quantitative finance, statistics, mathematics, economics, data analytics or a related quantitative field preferred, with 3 - 5 years of relevant work experience.
Work experience and proficiency in programming and/or data mining languages such as SQL, Python, SAS or R.
Experience working with large data sets and relational databases.
Strong quantitative, analytical, and problem-solving skills.
Strong presentation skills.
Mortgage industry experience preferred but not required.Estimated Salary: $20 to $28 per hour based on qualifications.
CANDIDATES WITHIN 25 MILES FROM MCLEAN, VA ARE ENCOURAGED TO APPLY
THIS ROLE REQUIRES THE ANALYST TO BE ONSITE (HYBRID), 3 DAYS A WEEK
THIS ROLE IS FOR A DIRECT CLIENT
Data Analyst Senior
Duration: 6 - 12 months contract. Opportunity for extension OR conversion (conversion for eligible candidates only).
Location: Onsite (Hybrid) in McLean, VA on Tuesday, Wednesday and Thursday
Years of
Experience: 3+
Must Haves: The Analyst must have at least three years of hands on programming experience using Python, SQL and SAS. Additionally, the Analyst must have hands on experience working with large data sets and relational databases. Experience in the Mortgage or fintech industry would be a huge plus, but it's not required.
Qualification:
Degree in quantitative finance, statistics, mathematics, economics, data analytics or a related quantitative field preferred, with 3 - 5 years of relevant work experience.
Work experience and proficiency in programming and/or data mining languages such as SQL, Python, SAS or R.
Experience working with large data sets and relational databases.
Strong quantitative, analytical, and problem-solving skills.
Strong presentation skills.
Mortgage industry experience preferred but not required.Estimated Salary: $20 to $28 per hour based on qualifications.
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