Senior Business Data Analyst

Mutual of Omaha Mortgage•Irvine, CA

2d•$80 - $90•Hybrid

About The Position

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.

Requirements

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/file-based 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 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

Nice To Haves

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

Responsibilities

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
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, escalate, 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
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
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
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

Benefits

Vacation hours accrue on a per pay period basis. Balance maximums are based on years of service.
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.
Dental Coverage
Vision Coverage
Company Paid Life Insurance
401K with a generous employer match
Optional Life, FSA, Pet Insurance etc.
Free Legal Services
Employee Loan Program