Data Quality Analyst

Mutual of Omaha Mortgage; San Diego (CA); On-site; USD 50,000 - 65,000; Full time

Job summary

An established industry player in the mortgage sector is on the lookout for a dedicated Data Quality Analyst to join their dynamic team. This role is pivotal in ensuring the integrity and quality of data throughout its lifecycle, from ingestion to reporting. The ideal candidate will collaborate closely with the data engineering team, validating data sources and enhancing reporting capabilities. With a focus on continuous improvement, this position offers the chance to make a significant impact on business intelligence initiatives. If you are passionate about data quality and eager to contribute to a team that values accuracy and efficiency, this opportunity is perfect for you.

Qualifications

• 2-5 years of experience in a data-focused role is essential.
• Strong understanding of data validation and reporting processes.

Responsibilities

• Validate new data sources and ensure system parity.
• Create and maintain reports based on business needs.

Skills

Data Validation Procedures

Report Development

Data Visualization

Communication Skills

Data Pipeline Understanding

Tools

MS SQL Server

Power BI

Git

Microsoft Fabric

Job description

Compensation Range: $50,000 - $65,000

The Mortgage Business Intelligence & Analytics team oversees all activities and functions involved with the company’s Business Intelligence platform, giving mortgage company business leaders access to reliable, actionable data to better manage and understand the business and drive company growth.

We are seeking a data analyst to focus on continuous auditing of our data quality. This role will be responsible for the oversight of our data throughout its lifecycle, including ingestion, transformation, and presentation within reporting. They will partner closely with the data engineering team to test new data sources and ensure parity with production systems, and proper modeling for our reporting environment. The Data Quality Analyst will also contribute to the documentation, development, and maintenance of our reports.

What You Will Be Doing

Data Quality (35%)

• Test and validate new data sourced by the data engineering team including 1:1 validation against production systems
• Ongoing validation of primary and derived tables
• Periodic review of reports to ensure parity across reporting
• Assist with peer reviews of team’s work

Documentation (10%)

• Update and maintain data lineage and definitions of our primary data models
• Create metadata for existing and new reports

Maintenance (20%)

• Make minor changes and updates to existing reports as needed
• Submit pull requests for changes to views used for reporting
• Continuous enhancement of semantic models including efficiency audits

Development (30%)

• Create new reports based on business needs
• Develop views and other server-side objects to support our reporting environment and semantic models

Team Support & Other Duties (5%)

• Provide backfill support for ongoing team work
• Assist on specific projects as needed

Qualifications

• 2-5 years’ experience in a data focused role
• Core understanding of data pipeline including ingestion, transformation, modeling, and preparation
• Strong understanding of data validation procedures including system parity, checksum, row-level, object-level, and incremental change validations
• Experience with documenting and maintaining validation logs
• Report development and data visualization experience
• Mortgage experience required

Required Skills

• MS SQL Server including:
• Standard data mining
• Advanced querying/window methods
• Create/read views and stored procedures
• Power BI including:
• Power Query
• Semantic Models
• DAX
• Report design and layout
• VCS such as Git or TFS
• Strong written and verbal communication skills
• Working knowledge of Microsoft Fabric a plus

Applicants must be authorized to work in the US without the need for sponsorship.

Seniority level

• Mid-Senior level

Employment type

• Full-time

Job function

• Information Technology