Product Analyst/ Data Analyst Job at OmegaHires, Richmond, VA

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  • OmegaHires
  • Richmond, VA

Job Description

Job Role: Product Analyst/ Data Analyst
Location: Richmond, VA (Hybrid)

Duration: 12 Months

Job Description:
We are seeking a highly analytical  Product Analyst/ Data Analyst with strong expertise in  Banking and Mortgage domain to support data-driven product development and business decision-making. The ideal candidate will work closely with  product managers, business stakeholders, and engineering teams to analyse product performance, customer behaviour, and operational metrics across mortgage and banking platforms.
This role requires strong technical capabilities in  Python, SQL, and Power BI , combined with deep understanding of  banking processes, mortgage lifecycle, lending operations, and financial data .

Required Skills & Qualifications:
Technical Skills
  • Strong proficiency in  SQL for data extraction, transformation, and analysis .
  • Experience with  Python for data analysis (Pandas, NumPy, data manipulation) .
  • Expertise in  Power BI for dashboard creation, reporting, and data visualization .
  • Experience working with  large datasets and relational databases .
Domain Expertise
  • Strong knowledge of  Banking and Financial Services industry .
  • Deep understanding of  Mortgage lifecycle , including:
    • Loan Origination
    • Loan Processing
    • Underwriting
    • Loan Servicing
    • Mortgage compliance and risk metrics
Analytical Skills
  • Strong ability to  interpret complex datasets and generate actionable insights .
  • Experience with  data modelling, KPI definition, and business performance tracking .
  • Knowledge of  financial data analysis and lending metrics .
Tools & Platforms
Experience with tools such as:
  • Power BI
  • SQL-based databases (SQL Server, Snowflake, PostgreSQL, etc.)
  • Python data analysis libraries
  • JIRA / Confluence or Agile tools
 
Preferred Qualifications:
  • Experience working with  Loan Origination Systems (LOS) or Mortgage Servicing Platforms .
  • Exposure to  cloud data platforms such as AWS, Azure, or GCP .
  • Experience with  data warehousing, ETL pipelines, or big data platforms .
  • Knowledge of  regulatory and compliance frameworks in banking and mortgage industries .

Job Tags

Contract work

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