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Senior Business Data Analyst

Pay
Pay not listedSimilar roles state $94K–$145K
Work setting
Hybrid — work setting source
Senior Business Data Analyst Location: Hybrid - Irvine, CA Job Type: Contract to Full Time
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Employment
Contract — employment source
Location: Hybrid - Irvine, CA Job Type: Contract to Full Time Mutual of Omaha is a Fortune 300 Company. Mutual of Omaha Mortgage is inspired by hometown values and a commitment to being responsible and caring for each other. We exist for the benefit of our customers and employees. Mutual of Omaha Mortgage is a full-service lending company offering both Forward and Reverse Mortgage products including a complete line of residential mortgage, refinancing, specialty, and HECM loans. We employ a knowledgeable staff of experienced Loan Officers with an operations team that is second to none. If you are interested in joining a team that promotes from within and works together toward a common goal of helping customers with their mortgage needs, please review and apply for our opening below!
Read the full posting

What you’ll work on

Full posting
  • Triage and prioritize data, reporting, and analytics requests with requestors

  • Run data projects from scoping through UAT, launch, and post-launch monitoring

  • Write advanced SQL daily to profile data, build reconciliation queries, and debug

  • Design and execute validation and reconciliation for every migration phase

  • Own launch readiness, cutover checklists, and rollback plans

From the employer’s posting
Own intake for data, reporting, and analytics requests: triage, clarify requirements directly with requestors
Run data projects end to end: scoping, planning, build, validation, UAT, launch, and post-launch monitoring
Write, debug, and optimize advanced SQL daily to profile source data, build validation and reconciliation queries
Design and personally execute validation and reconciliation for every migration phase and data solution
Own launch readiness: cutover checklists, go/no-go criteria, rollback plans, and stakeholder communications

What you’ll bring

All qualifications

Core experience

  • 5+ years of business/data analysis experience, with at least 2 years delivering data warehouse, ETL/ELT pipeline, or BI/reporting solutions hands-on
  • Experience in financial services, banking, or mortgage; familiarity with regulatory data requirements (HMDA, MISMO, CFPB reporting)
  • Structured intake, scoping, and requirements definition
  • 9 Paid Holidays + 1 Cultural Celebration Day (Floating Holiday)
  • Proven experience personally executing data validation, reconciliation, testing, and UAT — not just overseeing it
  • Experience with Agile/hybrid delivery; exposure to data governance frameworks
Qualification wording
5+ years of business/data analysis experience, with at least 2 years delivering data warehouse, ETL/ELT pipeline, or BI/reporting solutions hands-on
Experience in financial services, banking, or mortgage; familiarity with regulatory data requirements (HMDA, MISMO, CFPB reporting)
Structured intake, scoping, and requirements definition
9 Paid Holidays + 1 Cultural Celebration Day (Floating Holiday)
Proven experience personally executing data validation, reconciliation, testing, and UAT — not just overseeing it
Experience with Agile/hybrid delivery; exposure to data governance frameworks
Education & alternatives
- 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:

Posting record

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Status in our records
Live
First seen by us
Nov 11, 2026today
Recorded sightings
1
Reposted
once since Sep 9, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications. We count a repost when the same title and location comes back as a new listing within 60 days of the last one coming down. Some hiring systems expire listings on a schedule, so repost rates vary by system.

How this job compares

Pay

$94.1K–$145K is typical

The middle half of what similar US postings state. This one doesn’t list pay.

From 2,018 postings in the last year. Stated ranges, not salaries paid.

Time since we first saw it

Day 0

Early. Similar jobs usually come down between day 5 and day 43.

At Mutual of Omaha Mortgage, jobs usually come down by about day 26.

From 13,615 similar postings that came down, and 7 of Mutual of Omaha Mortgage’s. Coming down is not always a hire.

Mutual of Omaha Mortgage is hiring

4 open jobs

Open jobs by the week we first saw them, last 12 weeks.

  • Analyst hiring is picking up
  • Takes jobs down at a usual pace
  • 25% of open jobs were reposted
Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

  • Python
  • SQL
  • AWS
  • Azure
  • Databricks
  • dbt
  • Delta Lake
  • GCP
  • Power BI
  • Snowflake
  • Tableau
Where the posting names them
- Experience with Agile/hybrid delivery; exposure to data governance frameworks - Scripting or automation for data testing (e.g., Python, dbt tests) Core Competencies:
Overview 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:
- 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
- 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
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
- 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)
- 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
- Hands-on execution and ownership mindset - Advanced SQL fluency and analytical rigor - Validation, testing, and quality assurance
- 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

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Has Mutual of Omaha Mortgage posted this job before?

Yes. We’ve followed one other Senior Business Data Analyst job there since September 2026. It came down after 61 days.

  1. IrvineCame down after 61 days, first seen Sep 9
  2. This jobUp 0 days so far, first seen Nov 11

Demand for Analyst roles

New Analyst postings at the employers we follow are up 24% over the last 6 weeks compared with the 6 before.

Weekly new Analyst postings at the same employers, from the week of August 17 to the week of November 2. The fewest in a week was 966, the most 1,494, and the latest week had 1,494.
August 17Last week

Each bar is one week of new postings. The darkest bars are the last 6 weeks.

Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.

About the role

We file this job under Analyst, by the work the posting describes.

Analysts answer business questions with data. They pull numbers with SQL, build reports and dashboards, and explain what changed and why to the people making decisions.

Most postings ask for SQL, spreadsheets, a dashboard tool such as Tableau or Power BI, and clear writing.

Unlike a data scientist, an analyst mostly explains what happened rather than building models that predict what will.

Job description

View original posting ↗

Senior Business Data Analyst

Location: Hybrid - Irvine, CA

Job Type: Contract to Full Time
 

Mutual of Omaha is a Fortune 300 Company. Mutual of Omaha Mortgage is inspired by hometown values and a commitment to being responsible and caring for each other. We exist for the benefit of our customers and employees.   
 
Mutual of Omaha Mortgage is a full-service lending company offering both Forward and Reverse Mortgage products including a complete line of residential mortgage, refinancing, specialty, and HECM loans. We employ a knowledgeable staff of experienced Loan Officers with an operations team that is second to none. If you are interested in joining a team that promotes from within and works together toward a common goal of helping customers with their mortgage needs, please review and apply for our opening below!  
 

Overview

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, escalate, and resolve risks and dependencies, unblocking work personally where possible (writingthe 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
    (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) 

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 $80-$90 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. 
  • Dental Coverage 
  • Vision Coverage 
  • Company Paid Life Insurance 
  • 401K with a generous employer match 
  • Additional Benefits including – Optional Life, FSA, Pet Insurance etc. 
  • Free Legal Services 
  • Employee Loan Program 
Source details

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Location & working pattern

Irvine, CA

Senior Business Data Analyst Location: Hybrid - Irvine, CA Job Type: Contract to Full Time
More source context
- 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)
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