

LHH
Data Analyst
β - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Analyst (Python Data Analytics Consultant) with a contract length of "unknown" and a pay rate of $71-$73/hr. Located onsite in McLean, VA, it requires 5-7 years of experience, strong Python and SQL skills, and expertise in mortgage credit risk or MBS.
π - Country
United States
π± - Currency
$ USD
-
π° - Day rate
584
-
ποΈ - Date
June 24, 2026
π - Duration
Unknown
-
ποΈ - Location
On-site
-
π - Contract
Unknown
-
π - Security
Yes
-
π - Location detailed
McLean, VA
-
π§ - Skills detailed
#SAS #Datasets #Risk Analysis #Data Reconciliation #Data Processing #SQL (Structured Query Language) #Debugging #Data Analysis #Automation #Database Querying #Security #Python #Data Engineering
Role description
Python Data Analytics Consultant | Fortune 500 Mortgage Finance Client
Weβre looking for a Python Data Analytics Consultant to support a leading Fortune 500 Mortgage Finance Client. This role is ideal for professionals with strong expertise in data processing, analytics, reconciliation, and troubleshooting complex data discrepancies across multiple systems. Experience in mortgage credit risk, mortgage-backed securities (MBS), or related financial domains is highly preferred.
What Youβll Do:
β’ Process, analyze, and validate large datasets using Python and SQL
β’ Perform data reconciliations and tie-outs between multiple analytical systems
β’ Investigate, troubleshoot, and resolve data calculation discrepancies end-to-end
β’ Develop analytical solutions and data engineering workflows to support business needs
β’ Translate complex technical findings into clear and actionable business summaries
β’ Support mortgage credit risk and market risk analysis initiatives
β’ Deliver accurate results under tight deadlines while maintaining high quality standards
What You Bring:
β’ 5β7 years of experience in data analytics, data processing, or quantitative analysis
β’ Expert-level Python skills for analytics, automation, and data engineering
β’ Strong experience with data reconciliation, validation, and debugging across systems
β’ Working knowledge of SQL and database querying
β’ Experience in mortgage credit risk, mortgage-backed securities (MBS), or market risk management
β’ Excellent quantitative, analytical, and problem-solving skills
β’ Experience with SAS is a plus
β’ Strong communication skills with the ability to explain technical findings to non-technical stakeholders
πLocation: McLean, VA (Onsite)
π΅Salary: $71- $73/hr
If you have an interest in the Onsite β Python Data Analytics Consultant, please apply now!
Benefit offerings include medical, dental, vision, life insurance, short-term disability, additional voluntary benefits, EAP program, commuter benefits and 401K plan. Our program provides employees the flexibility to choose the type of coverage that meets their individual needs. Available paid leave may include Paid Sick Leave, where required by law; any other paid leave required by Federal, State, or local law; and Holiday pay upon meeting eligibility criteria.
Equal Opportunity Employer/Veterans/Disabled
To read our Candidate Privacy Information Statement, which explains how we will use your information, please navigate to https://www.lhh.com/us/en/candidate-privacy
The Company will consider qualified applicants with arrest and conviction records in accordance with federal, state, and local laws and/or security clearance requirements, including, as applicable:
β’ The California Fair Chance Act
β’ Los Angeles City Fair Chance Ordinance
β’ Los Angeles County Fair Chance Ordinance for Employers
β’ San Francisco Fair Chance Ordinance
Python Data Analytics Consultant | Fortune 500 Mortgage Finance Client
Weβre looking for a Python Data Analytics Consultant to support a leading Fortune 500 Mortgage Finance Client. This role is ideal for professionals with strong expertise in data processing, analytics, reconciliation, and troubleshooting complex data discrepancies across multiple systems. Experience in mortgage credit risk, mortgage-backed securities (MBS), or related financial domains is highly preferred.
What Youβll Do:
β’ Process, analyze, and validate large datasets using Python and SQL
β’ Perform data reconciliations and tie-outs between multiple analytical systems
β’ Investigate, troubleshoot, and resolve data calculation discrepancies end-to-end
β’ Develop analytical solutions and data engineering workflows to support business needs
β’ Translate complex technical findings into clear and actionable business summaries
β’ Support mortgage credit risk and market risk analysis initiatives
β’ Deliver accurate results under tight deadlines while maintaining high quality standards
What You Bring:
β’ 5β7 years of experience in data analytics, data processing, or quantitative analysis
β’ Expert-level Python skills for analytics, automation, and data engineering
β’ Strong experience with data reconciliation, validation, and debugging across systems
β’ Working knowledge of SQL and database querying
β’ Experience in mortgage credit risk, mortgage-backed securities (MBS), or market risk management
β’ Excellent quantitative, analytical, and problem-solving skills
β’ Experience with SAS is a plus
β’ Strong communication skills with the ability to explain technical findings to non-technical stakeholders
πLocation: McLean, VA (Onsite)
π΅Salary: $71- $73/hr
If you have an interest in the Onsite β Python Data Analytics Consultant, please apply now!
Benefit offerings include medical, dental, vision, life insurance, short-term disability, additional voluntary benefits, EAP program, commuter benefits and 401K plan. Our program provides employees the flexibility to choose the type of coverage that meets their individual needs. Available paid leave may include Paid Sick Leave, where required by law; any other paid leave required by Federal, State, or local law; and Holiday pay upon meeting eligibility criteria.
Equal Opportunity Employer/Veterans/Disabled
To read our Candidate Privacy Information Statement, which explains how we will use your information, please navigate to https://www.lhh.com/us/en/candidate-privacy
The Company will consider qualified applicants with arrest and conviction records in accordance with federal, state, and local laws and/or security clearance requirements, including, as applicable:
β’ The California Fair Chance Act
β’ Los Angeles City Fair Chance Ordinance
β’ Los Angeles County Fair Chance Ordinance for Employers
β’ San Francisco Fair Chance Ordinance






