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Data & Product Analyst

Madison-Davis

McLean, VA

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JOB DETAILS
SALARY
$45
SKILLS
Analysis Skills, Business Intelligence, Business Skills, Cloud Computing, Communication Skills, Data Analysis, Data Management, Data Quality, Data Sets, Database Extract Transform and Load (ETL), Ecosystems, Enterprise Data Integration, Financial Services, Informatica, Master Data Management (MDM), Metadata, Microsoft SQL Server, Mortgage, MySQL, Operational Strategy, Operational Support, Performance Analysis, Performance Metrics, Problem Solving Skills, Product Engineering, Product Support, Quality Assurance, Query Optimization, Relational Databases (RDBMS), Reporting Dashboards, Requirements Management, SQL (Structured Query Language), Scorecarding, Scripting (Scripting Languages), Snowflake Schema, Stored Procedures, Sybase Product Family, Trend Analysis
LOCATION
McLean, VA
POSTED
Today

A leading financial services organization is seeking a Data & Product Analyst to support enterprise data initiatives, product analytics, and governance efforts within a complex data ecosystem. This role will partner closely with product teams, engineering, business stakeholders, and data management groups to transform large datasets into actionable insights that support operational and strategic decision-making.




The ideal candidate combines strong SQL and analytical expertise with experience supporting enterprise data environments, governance initiatives, and product-focused analytics. This position offers the opportunity to work on high-impact initiatives involving data quality, reporting, ETL validation, and business intelligence within a fast-paced environment.




What You ll Tackle:



  • Analyze complex datasets to identify trends, anomalies, and business opportunities.
  • Develop dashboards, KPIs, scorecards, and reporting solutions for stakeholders.
  • Write and optimize advanced SQL queries, validation scripts, and stored procedures.
  • Support ETL/ELT validation and enterprise data integration processes.
  • Partner with product managers, engineers, architects, QA teams, and business users.
  • Contribute to data governance, master data management, and data quality initiatives.
  • Present analytical findings and recommendations to technical and non-technical audiences.
  • Support operational reporting and product performance analysis.




What You Bring:



  • Strong hands-on SQL expertise across enterprise database environments
  • Experience with relational databases such as SQL Server, Snowflake, MySQL, or Sybase
  • Experience supporting ETL/ELT workflows and enterprise data operations
  • Knowledge of master data management and data governance principles
  • Strong analytical and problem-solving capabilities
  • Experience collaborating across technical and business teams
  • Ability to translate business requirements into actionable data insights
  • Strong communication and stakeholder management skills
  • Experience working in agile or fast-paced environments




Nice to Have:



  • Experience with Snowflake or cloud-based data platforms
  • Familiarity with Informatica, Talend, or similar ETL tools
  • Exposure to experimentation frameworks or customer analytics
  • Understanding of data lineage and metadata management
  • Financial services or mortgage industry experience

About the Company

M

Madison-Davis

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