Jersey City, NJ

Salary
$158,900–$210,000from the description
Posted
Jul 13, 2026
Location
Jersey City, NJ
Last confirmed open
Jul 21, 2026

What this job asks for AI summary

This role sits within mortgage analytics, focused on extracting and transforming large datasets via SQL, building Tableau dashboards, and applying statistical methods in Python to surface trends for business partners. The work spans the full mortgage lifecycle — from lead sourcing through rate lock — and involves advising operations, finance, and marketing teams on data-driven improvements to sales outcomes and customer experience. Best suited to someone with hands-on experience in both mortgage domain knowledge and end-to-end reporting projects.

Mid level · 3+ years · New York-Newark-Jersey City, NY-NJ-PA · Bachelor's required · Full-time

Must have (7)
SQL · 1+ yrsMicrosoft SQL Server or Alteryx Designer · 1+ yrsPython · 1+ yrsTableau · 1+ yrsExcel · 1+ yrslinear regression or Logistic Regression · 1+ yrsstored procedures

“or” means any one of them counts — you don't need all of them.

Posted 2 times — it's one opening, so apply once.

We read this from the posting text with AI. Skim the description below before ruling yourself out.

How this req sits in the market our data

Roughly 290 people in the New York-Newark-Jersey City, NY-NJ-PA area plausibly meet what this posting asks for (operations research analysts). range 120–520

Applicant volume Moderate — A normal amount of company. The rare requirements below are what will separate a shortlisted application from the rest.

What won't set you apart
SQL78%Excel70%Python50%Tableau45%

Most people in this occupation already list these. Still required — just not what gets you shortlisted.

What the occupation pays Median $105,377 (middle half $70,620–$142,915). This posting is about at that midpoint.

Estimated from BLS employment for this occupation and area, per-skill prevalence across our listing corpus, and published wage benchmarks — as of Jul 28, 2026. It is a model, not a headcount.

Why we read it this way (6)

The role's primary work is reporting, data analysis, and BI (SQL, Tableau dashboards, statistical analysis for business insights), making it a close call between 15-2031 (Operations Research Analysts / BI-style reporting) and 15-2051 (Data Scientists). The Python/statistical modeling component (regression, outlier detection) nudges toward data science, but the dominant day-to-day duties — extracting/transforming data, building Tableau dashboards, gathering reporting requirements, troubleshooting production reports — align more with 15-2031.

Education requirement: the JD accepts either a Master's + 1 year OR a Bachelor's + 3 years. The minimum formal degree to qualify is a Bachelor's, so the degree requirement is set to Bachelors. The 3-year experience figure is used as the overall years minimum (the lower bar under the Bachelor's path).

All skills listed are drawn from the 'Skills Required' section, which explicitly states 1 year of experience with each item. Microsoft SQL Server and Alteryx Designer are presented as interchangeable alternatives ('either … or') for the data manipulation requirement.

Excel, Python, and Tableau are listed as alternatives for 'creating visualizations,' but the JD also separately requires Python for statistical analysis and Tableau for end-to-end dashboard development — so all three are emitted as independent required skills rather than collapsed into one.

Domain knowledge of mortgage products and processes (fixed-rate/ARM, FHA/VA/Jumbo, right party contact, rate lock, etc.) is explicitly required for 1 year but names no specific technology or tool, so it is not captured as a skill per extraction rules.

The role is on-site at 575 Washington Blvd, Jersey City, NJ — no remote option is indicated.

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