Senior Business Data Analyst

Mutual of Omaha Mortgage; Irvine (CA); On-site; USD 124,000 - 138,000; Full time

Benefits offered by this job

Vacation hours

Paid Sick Time

9 Holidays + Floating Day

Medical plans

Vision coverage

Life insurance

401K match

Job summary

Mutual of Omaha Mortgage in Irvine, CA seeks a Senior Business Data Analyst to own data solutions end to end—from intake and scoping through build, validation, testing, and launch. This hands-on role requires writing advanced SQL daily and validating data for accuracy and launch readiness under regulatory requirements.

You will drive data discovery, collaborate with Operations, Finance, and Compliance, and manage data projects across data warehouse, ETL pipelines, and BI migrations, including

Qualifications

• 5+ years of business/data analysis experience with data warehousing or BI projects.
• Advanced SQL with complex joins and window functions.
• Databricks experience for data warehousing and notebooks.
• Strong data profiling, discrepancy investigation and data quality focus.
• Experience delivering end-to-end data solutions and UAT.
• Bachelor's degree in computer science or related field, or equivalent experience.

Responsibilities

• Own intake for data requests and prioritize against the data roadmap.
• Write and validate SQL queries for source data and migrations.
• Manage end-to-end data projects from scoping to production cutover.
• Validate data accuracy, reconcile results, and perform UAT.
• Collaborate with Legal and Compliance on governance requirements.
• Document data lineage and transformation logic with engineers.

Skills

Advanced SQL

Data modeling

ETL/ELT pipelines

Databricks

Data validation

Requirements elicitation

Project ownership

Communication

Education

Bachelor's degree in Computer Science / Information Systems

Tools

Databricks

Snowflake

Azure

AWS

GCP

Power BI

Tableau

Job description

We are seeking an experienced Senior Business Data Analyst to own data solutions end to end — from intake and scoping through build, validation, testing, and launch. This is a hands‑on role, not a coordination role. You will write advanced SQL daily, manage the intake and prioritization of data and reporting requests, scope and run your own projects from requirements through production cutover, and personally validate that the data you deliver is accurate, reconciled, and launch‑ready — all in alignment with the regulatory and compliance requirements applicable to a federally regulated mortgage lender.

Key Responsibilities:

Intake & Scoping

• Own intake for data, reporting, and analytics requests: triage, clarify requirements directly with requestors, assess feasibility and effort, and prioritize against the data roadmap
• Elicit and document functional and non-functional requirements, converting ambiguous business questions into scoped deliverables with clear acceptance criteria, data sources, and success measures
• Perform hands‑on data discovery and profiling (via SQL) during scoping to confirm source data supports the request before work is committed

End-to-End Project Delivery

• Run data projects end to end: scoping, planning, build, validation, UAT, launch, and post‑launch monitoring — staying hands‑on in every phase
• Maintain right‑sized project plans, timelines, and status updates for executive and stakeholder visibility
• Identify, elevate, and resolve risks and dependencies, unblocking work personally where possible (writing the query, drafting the mapping, testing the fix)
• Support data warehouse, pipeline, and BI migration efforts — including onboarding new sources via API and SFTP ingestion — as the analyst who verifies the data, not just tracks the tasks

Hands‑On SQL, Validation & Testing

• Write, debug, and optimize advanced SQL daily to profile source data, build validation and reconciliation queries, investigate discrepancies, and prototype transformation logic
• Design and personally execute validation and reconciliation for every migration phase and data solution: row counts, field‑level comparisons, aggregate tie‑outs, and business‑rule checks
• Build and execute repeatable test plans for pipelines, data models, and reports, documenting results with evidence
• Plan and drive UAT: test scripts, stakeholder walkthroughs, defect tracking, and documented sign‑off prior to cutover
• Document data lineage, transformation logic, and schema changes with data engineers and architects

Launches & Post‑Launch Ownership

• Own launch readiness: cutover checklists, go/no‑go criteria, rollback plans, and stakeholder communications
• Personally verify production outputs at and after launch, reconciling first production runs against expected results and legacy baselines
• Run post‑launch monitoring and hypercare: track data quality, triage issues, and confirm adoption and stability

Stakeholder & Compliance Collaboration

• Act as the primary liaison between business teams (Operations, Finance, Compliance, Sales) and technical teams; translate technical concepts and data caveats into clear communications for leadership
• Coordinate with Legal and Compliance to ensure activities align with RESPA, TILA, ECOA, HMDA, and applicable data governance requirements
• Follow change management processes for production data systems; maintain requirements, runbooks, and validation documentation

Qualifications:

Required:

• 5+ years of business/data analysis experience, with at least 2 years delivering data warehouse, ETL/ELT pipeline, or BI/reporting solutions hands‑on
• Advanced SQL required — expert‑level ability to write complex joins, window functions, aggregations, and reconciliation queries against large datasets without assistance. Candidates should expect a hands‑on SQL assessment
• Databricks experience (SQL warehouses, notebooks, Delta Lake, or Unity Catalog)
• Strong analytical knowledge required — proven ability to profile data, investigate discrepancies to root cause, reason about data quality, and draw sound, defensible conclusions from data
• Proven experience personally executing data validation, reconciliation, testing, and UAT — not just overseeing it
• Experience owning projects end to end: intake, scoping, requirements, delivery, launch, and post‑launch support
• Very strong requirements elicitation skills — able to draw out, document, and validate both functional and non‑functional requirements (performance, data quality, security, auditability) from technical and non-technical stakeholders
• Strong understanding of data modeling, data warehousing, dimensional design, and reporting best practices
• Strong knowledge of data ingestion into modern data platforms — API‑based integrations, SFTP/filebased feeds, batch and incremental loads — including source onboarding, mapping, and validation of ingested data
• Familiarity with cloud data platforms (Snowflake, Azure, AWS, GCP) and modern BI tools (Power BI, Tableau, or similar)
• Able to adapt quickly in a very fast‑paced, regulated environment — managing multiple concurrent workstreams and shifting priorities without losing quality; excellent written and verbal communication skills, including presenting to senior leadership
• Bachelor's degree in Computer Science, Information Systems, Business, or a related field; or equivalent practical experience

Preferred:

• Experience in financial services, banking, or mortgage; familiarity with regulatory data requirements
• Experience with Agile/hybrid delivery; exposure to data governance frameworks
• Scripting or automation for data testing (e.g., Python, dbt tests)

Core Competencies:

• Hands‑on execution and ownership mindset
• Advanced SQL fluency and analytical rigor
• Validation, testing, and quality assurance
• Structured intake, scoping, and requirements definition
• Cross‑functional stakeholder communication
• Risk and issue management
• Adaptability in dynamic environments
• Problem solver with a solutions orientation

The hourly rate for this position is $90-$100 per hour.

Mutual of Omaha Mortgage is an Equal Opportunity Employer, and we encourage diverse, talented, qualified applicants to apply. We offer an extensive compensation package. Benefits include:

• Vacation — Vacation hours accrue on a per pay period basis. Balance maximums are based on years of service.
• Paid Sick Time — 40 hours of paid sick time after 90 days of employment. State sick time requirements will be added as needed.
• 9 Paid Holidays + 1 Cultural Celebration Day (Floating Holiday)
• Multiple PPO Medical Plans, as well as HDHP eligible plan.
• Vision Coverage
• Company Paid Life Insurance
• 401K with a generous employer match
• Additional Benefits including – Optional Life, FSA, Pet Insurance etc.