Hudson Manpower · Houston, TX

Salary
$50,000–$75,000
Posted
Jul 22, 2026
Location
Houston, TX
Last confirmed open
Jul 23, 2026

What this job asks for AI summary

An entry-level data role focused on collecting, cleaning, and analyzing structured and unstructured data to surface business insights. Day-to-day work spans building dashboards and visualizations, conducting exploratory analysis, and contributing to predictive models and basic machine learning solutions. Suited to early-career candidates with up to a few years of experience, including those whose background comes primarily from internships or academic projects.

Junior level · Full-time

Nice to have (3)
EDAmachine learningdata visualization

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

What gives you an edge
Event Driven Architecture12%

Rare in this occupation — lead with these, and say what you built with them.

What won't set you apart
Machine Learning80%Data Visualization55%

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

What the occupation pays Median $122,874 (middle half $87,544–$162,374).

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 posting is explicitly early-career focused (6 months – 2/3/4 years of experience), accepting internship, academic, or personal project experience — classified as Junior.

The role blends analytics/reporting (dashboards, EDA, trends) with data science (predictive models, basic ML), making it genuinely ambiguous between Data Scientists (15-2051) and Operations Research Analysts (15-2031); 15-2051 was chosen as the primary code given the explicit mention of predictive modeling and machine learning.

No specific named technologies, tools, languages, or platforms are mentioned anywhere in the posting — the skills listed (EDA, machine learning, data visualization) are the closest concrete technical concepts named, but they are more methodological than tool-specific. No must-have technology gates could be identified.

Location is described as 'Open to Relocation Anywhere in the United States' with no specific metro — no CBSA could be assigned. The role does not appear to be remote.

W2 Only and US Citizens Only are stated constraints but do not map to any structured field; hiring managers should note these as screening criteria.

No compensation figures are provided.

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