Master Data Management (MDM)

Data & Product Analyst with strong SQL expertise and hands-on experience across data management, product analytics, ETL processes, and data governance. In this role, you will partner closely with product managers, business stakeholders, data engineers, architects, and QA teams to transform complex datasets into actionable insights that support strategic business and product decisions.

You will play a key role in improving data quality, supporting governance initiatives, and delivering meaningful analytics within the mortgage domain. The ideal candidate combines technical capability with strong business acumen, communication skills, and a passion for solving complex data challenges.

What You ll Do

Analyze complex datasets to identify trends, anomalies, and business opportunities within mortgage and product domains

Develop dashboards, KPIs, scorecards, and analytical reports to support business and product decision-making

Write and optimize advanced SQL queries, stored procedures, functions, and validation scripts across enterprise data platforms

Partner with cross-functional teams to support product analytics, ETL validation, master data management, and governance initiatives

Present data-driven insights and recommendations to both technical and non-technical stakeholders

+8 Years of experience with SQL and relational databases such as SQL Server, Sybase, MySQL, or Snowflake

+8 years of experience working with Master Data Management (MDM), ETL/ELT workflows, and enterprise data governance practices. Support implementation and maintenance of MDM frameworks.

Knowledge of mortgage business processes and understanding of how data supports operational and strategic outcomes

Strong analytical, problem-solving, and stakeholder management skills with the ability to translate business needs into data solutions

Experience collaborating across product, engineering, architecture, QA, and business teams in agile or fast-paced environments

Develop meaningful KPIs, dashboards, scorecards, and analytical reports for business and product teams.

Bonus Points For

Experience with Snowflake and modern cloud-based data platforms

Familiarity with Informatica, Talend, or similar ETL and data integration tools

Exposure to A/B testing, experimentation frameworks, and customer behavior analytics

Understanding of data lineage, metadata management, and data quality frameworks

Previous experience supporting product health metrics, feature adoption analysis, or digital product optimization