Relx

Relx

Data Analyst III

San Diego, CA · Mid

Sponsorship not specified$107k-$125kDetected 11 days ago
PythonSQLPostgreSQLRedshiftData AnalysisData ScienceData VisualizationStatisticsA/B TestingExcelDNSResearchMicrosoft Office

Stay score

odds of building a lasting career here

53Sponsors, lottery-bound
Cap-exempt (no lottery)0
Sponsors this role100
Entry-level history0
PERM / green-card track0
Lottery odds (Level II)66
Fits your clock70

Sponsors, but it's cap-subject — you still face the weighted lottery (~30% per draw at Level II). Good if you win; have a cap-exempt backup on your list.

Lottery odds assume a STEM candidate.

Personalize to your clock →

H-1B wage level

the lottery is wage-weighted — each level is one more entry

Level II · 2×
Level I$80,6001 entry
Level II$107,3902 entries
Level III$134,2023 entries
Level IV$160,9924 entries

Level III starts at $134,202 — $26,812 above the bottom of this range, and above its posted ceiling.

DOL prevailing wage, 2026-27 wage year · Data Scientists (15-2051) · San Diego-Chula Vista-Carlsbad, CA. Wage level is derived by USCIS from the offered wage, occupation and worksite; the occupation shown is inferred from the job title.

Employer immigration record

from this employer's Department of Labor filings

Files H-1B transfers

39 transfer filings in the last year, covering 39 workers. Median labor-condition decision: 7 days. An employer that already files transfers is one that can take over an existing H-1B.

Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.

Community outcomes

No reports yet — be the first to help the next applicant.

About the role

  • Coordinate with operational teams to use and make decisions based on data, and work with operational teams to define success metrics.

Responsibilities

  • Drive operational decisions with respect to software, through data analysis and management while working with operational teams around the globe.
  • Support day-to-day software development through data analysis and research, including modifying pre-designed queries to assess data for research purposes.
  • Identify efficiency opportunities and obtain information on project limitations and capabilities, performance requirements and interfaces with regard to software design.

Requirements

  • Master's degree (or foreign equivalent) in Analytics, Business Analytics, Data Science, or a related field required.
  • 2 years of experience in job offered or related occupations required.
  • Also required is: 2 years of experience: in statistics, data visualization, data analysis, SQL coding, and coding in scripting languages including Python or R, to analyze data and create reports
  • Experience can be concurrent.

Skills

  • Utilize technical tools, including programming languages, dashboarding tools, and SQL tools.

Compensation

  • $107,390.00 to $124,800.00/year + standard company benefits
  • This salary range is specifically for REQ# R119643. Salary range listed below is general and covers all similar positions in the area and should not be considered for this specific position.
  • $71,600 - $119,400.

Benefits

  • We are delighted to offer country specific benefits.
  • Click here to access benefits specific to your location.
  • If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-855-833-5120.

Company info

  • We are committed to providing a fair and accessible hiring process.

Equal opportunity

  • EEO Know Your Rights.

Visa & Work Authorization

  • are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientat

This listing is sourced directly from Relx's careers page and normalized into a canonical job model.