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Immigration Data Analyst Jobs (NOW HIRING)

Mom's Meals

Principal Data Analyst

Ankeny, IA · On-site +1

At this time, we are NOT considering applicants that require immigration sponsorship (additional ... Own analysis quality: data validation, experiment/study design, sensitivity checks, and ...

General Motors

Business Management Data Analyst

Warren, MI · On-site

$106K - $135K/yr

Analyze financial, operational, and business data to identify trends, risks, opportunities, and ... GM DOES NOT PROVIDE IMMIGRATION-RELATED SPONSORSHIP FOR THIS ROLE. DO NOT APPLY FOR THIS ROLE IF ...

General Motors

Business Management Data Analyst

Warren, MI · Hybrid

$106K - $135K/yr

Analyze financial, operational, and business data to identify trends, risks, opportunities, and ... GM DOES NOT PROVIDE IMMIGRATION-RELATED SPONSORSHIP FOR THIS ROLE. DO NOT APPLY FOR THIS ROLE IF ...

Eversource Energy

IT Associate Data Analyst

Westwood, MA · On-site

Applicants who require immigration sponsorship-either now or in the future-should not apply. This ... The IT Associate Data Analyst partners with Customer-facing business teams and IT delivery teams to ...

Eversource Energy

IT Associate Data Analyst

Westwood, MA · On-site

Applicants who require immigration sponsorship-either now or in the future-should not apply. This ... The IT Associate Data Analyst partners with Customer-facing business teams and IT delivery teams to ...

TikTok

People Operations Data Analyst, AMS

San Jose, CA · On-site

$76K - $168K/yr

S. immigration laws and regulations across the Americas region. We manage vendor relationships ... TikTok is seeking to hire an People Operations Data Analyst, supporting the US Visa Services team ...

Hive Group LLC

Data Scientist

Mclean, VA · On-site

This role supporting USCIS focuses on transforming complex immigration data into actionable ... Utilize the USCIS Data Lake to aggregate, clean, and analyze structured and unstructured datasets.

Fresenius Kabi

Senior Data Analyst

Lake Zurich, IL · On-site

$104K - $110K/yr

Job Summary We are seeking a highly analytical and detail-oriented Senior Data Analyst to join our ... immigration status, disabilities, or protected veteran status.

O'Reilly Auto Parts

The goal of a Store Operations Data Analyst is to understand specific business problems or ... immigration status or citizenship), sex, sexual orientation, gender identity, pregnancy (including ...

New

Hive Group LLC

Data Scientist

Mclean, VA · On-site

This role supporting USCIS focuses on transforming complex immigration data into actionable ... Utilize the USCIS Data Lake to aggregate, clean, and analyze structured and unstructured datasets.

BetMGM

Product Data Analyst

Jersey City, NJ · Hybrid

$72K - $94K/yr

As a Product Data Analyst, you will play a key role in analyzing player behavior and product usage ... S. without the need for immigration sponsorship. At this time, this role is not eligible for ...

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Immigration Data Analyst information

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$34K

$82.6K

$136K

How much do immigration data analyst jobs pay per year?

As of Jun 5, 2026, the average yearly pay for immigration data analyst in the United States is $82,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $97,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Immigration Data Analyst, and why are they important?

To thrive as an Immigration Data Analyst, a solid background in statistics, data analysis, and a relevant degree in fields like data science or public policy is essential. Familiarity with data visualization tools (e.g., Tableau, Power BI), statistical programming languages (such as R or Python), and experience with immigration databases are typically required. Strong attention to detail, analytical thinking, and effective communication skills help analysts interpret complex data and present actionable insights to stakeholders. These skills and qualities are crucial for ensuring accurate, data-driven decision-making in immigration policy and program management.

What are some common challenges faced by Immigration Data Analysts when interpreting and presenting complex datasets?

Immigration Data Analysts often work with large and multifaceted datasets that can include sensitive personal information, various data formats, and sources with inconsistent quality. One common challenge is ensuring data accuracy while maintaining privacy and compliance with relevant laws such as GDPR or HIPAA. Additionally, translating complex statistical findings into clear, actionable insights for non-technical stakeholders—such as policy makers or legal teams—requires strong communication skills and a deep understanding of the immigration process. Collaboration with IT, legal, and program management teams is frequent, making adaptability and teamwork essential.

What are Immigration Data Analysts?

Immigration Data Analysts are professionals who collect, analyze, and interpret data related to immigration trends, patterns, and policies. They work with large datasets to provide insights that can help policymakers, government agencies, or non-profit organizations make informed decisions about immigration issues. Their responsibilities often include data cleaning, statistical analysis, reporting, and creating visualizations to communicate findings. They may also assess the impact of immigration laws and help develop recommendations based on data-driven evidence.

What is the difference between Immigration Data Analyst vs Immigration Policy Analyst?

AspectImmigration Data AnalystImmigration Policy Analyst
Required CredentialsBachelor's in Data Science, Statistics, or related field; proficiency in data analysis toolsBachelor's in Political Science, Public Policy, or related; strong research skills
Work EnvironmentData-focused roles in government agencies, NGOs, or consulting firmsPolicy research settings in government, think tanks, or advocacy groups
Employer & Industry UsageOrganizations analyzing immigration data trendsOrganizations developing or evaluating immigration policies
Common Search & Comparison IntentUnderstanding data analysis roles in immigrationUnderstanding policy analysis roles in immigration

While both roles involve immigration, the Immigration Data Analyst primarily focuses on analyzing immigration data sets to identify trends and support decision-making. In contrast, the Immigration Policy Analyst concentrates on developing, evaluating, and recommending immigration policies based on research and data. Both roles often collaborate but serve different functions within immigration-related organizations.

More about Immigration Data Analyst jobs
What cities are hiring for Immigration Data Analyst jobs? Cities with the most Immigration Data Analyst job openings:
What states have the most Immigration Data Analyst jobs? States with the most job openings for Immigration Data Analyst jobs include:
What job categories do people searching Immigration Data Analyst jobs look for? The top searched job categories for Immigration Data Analyst jobs are:
Immigration Data Analyst jobs near you
Infographic showing various Immigration Data Analyst job openings in the United States as of May 2026, with employment types broken down into 73% Full Time, 5% Part Time, and 22% Contract. Highlights an 95% Physical, 2% Hybrid, and 3% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.
Principal Data Analyst

Principal Data Analyst

Mom's Meals

Ankeny, IA • On-site, Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 28 days ago

Mom's Meals rating

6.5

Company rating: 6.5 out of 10

Based on 38 frontline employees who took The Breakroom Quiz

10th of 22 rated food delivery companies

Job description

The Principal Data Analyst is a senior, hands-on analytics leader who turns complex, cross-functional data into clear, actionable insights that drive business outcomes as a consultative partner. This role sets the bar for analytical rigor, designs enterprise-grade BI assets, mentors analysts, and partners with business, engineering, and governance to improve decision quality and operational performance. Work emphasizes advanced analytics using Databricks, SQL, R, Power BI, Python, and the Azure data stack.
Salary range: $100,003-120,000 plus 10% bonus
Remote hires will be required to travel to our headquarters in Ankeny, IA (company paid) on their first day for orientation.
At this time, we are NOT considering applicants that require immigration sponsorship (additional work authorization or permanent work authorization) now or in the future to work in the United States. This includes, but IS NOT LIMITED TO: F1-OPT, F1-CPT, H-1B, TN, L-1, J-1, etc.
Benefits
Our employees enjoy a generous package of benefits that we are thrilled to provide, and feel is part of what makes us different as an employer. We value our team members, and this is one way we can show it.
Benefits include:
-PTO, holiday pay and holiday of choice
-401(k) match
-Life insurance
-Short-term disability
-Health, dental and vision insurance
-Maternity/paternity leave
-Health savings account (HSA)
-Flex spending accounts (FSA) - health and dependent
Position Responsibilities may include, but not limited to
  • Lead high-impact analytics initiatives from problem framing through delivery; quantify value, design robust analyses, and communicate recommendations to business partners and executives
  • Partner with business leaders to identify analytics opportunities and deliver actionable insights. Present findings and recommendations to partners and executive leadership in clear, compelling formats
  • Develop analytics products and solutions using Databricks, modern Business and Artificial Intelligence tools and Agile principles
  • Implement advanced analytics where applicable, leveraging Python for advanced analytics, automation, and integration with Databricks workflows
  • Architect and publish trusted Power BI datasets and dashboards (DAX, Power Query, semantic models), establishing standards for usability and adoption
  • Build performant Databricks workflows (notebooks, jobs, SQL Warehouses) to wrangle large datasets, engineer features, and automate recurring analyses
  • Develop Python scripts for automation, data wrangling, and integration with Databricks and Azure services
  • Partner with Data Engineering on Azure data stack components (Data Factory, ADLS, Synapse/Fabric pipelines) for scalable data solutions
  • Own analysis quality: data validation, experiment/study design, sensitivity checks, and reproducibility (versioning, documentation)
  • Define and monitor KPIs; create executive scorecards and operational reporting that tie directly to business objectives
  • Coach/mentor analysts and BI developers; uplift storytelling, statistical thinking, and visualization craftsmanship across the team
  • Collaborate with Data Governance and Compliance to ensure appropriate use of PHI and adherence to privacy/security controls
  • Facilitate data stewardship and literacy across the business
  • Drive adoption of data products to scale data value
  • Stay current with emerging technologies and recommend enhancements to the analytics stack

Required Skills and Experience
  • Bachelor's degree in Data Science, Computer Science, Statistics, Economics or related field
  • 8-10+ years in analytics roles, including 3+ years leading projects
  • Proven impact delivering analytics in complex environments (multi-source data, ambiguous scope) with measurable business outcomes
  • Experience operating in healthcare data environments (or demonstrated ability to quickly adapt to such contexts)
  • Demonstrated ability to mentor junior analytics professionals
  • Statistical and financial analytics expertise with deep understanding of appropriate study design and analysis techniques and business case development
  • Azure Data Stack: Data Factory, ADLS, Synapse/Fabric pipelines; familiarity with security and governance features
  • Databricks: Spark/SQL, notebooks & jobs, performance tuning, SQL Warehouses
  • SQL: Strong proficiency (ANSI/T-SQL); query optimization over large, partitioned tables
  • R: Applied analytics using tidyverse/ggplot2; reproducible workflows; statistical testing and modeling fundamentals
  • Python: Data wrangling, automation, integration with Databricks and Azure services
  • Fabric and Power BI: Data modeling, DAX, Power Query (M), calculation groups, row-level security, deployment pipelines
  • Versioning & Reproducibility: Git-based workflows; disciplined documentation and peer review
  • Executive storytelling: distill and translate complex analyses into clear narratives and recommended actions or analytics solutions
  • Stakeholder partnership: influence cross-functional partners; set expectations and drive alignment
  • Demonstrated ability to deliver projects with undefined, large and/or complex scope
  • Agile delivery
  • Mentorship: develop analysts' craft (methodology, viz/design, communication)
  • Product mindset: define problem statements, success metrics, and iterate with feedback - drives adoption of analytics products and solutions
  • Ownership & judgment: operate independently, make sound trade-offs, and uphold high quality standards

Preferred Skills and Experience
  • Master's degree in Economics, Statistics, Data Science, Computer Science or related field
  • Certifications in Databricks, Power BI, or cloud platforms (Azure preferred)
  • Experience with machine learning frameworks and MLOps practices
  • Familiarity with data governance tools and compliance standards
  • Knowledge of advanced BI features (Power BI Copilot, AI-driven analytics)
  • Familiarity with healthcare risk adjustment models such as HCC and CDPS
  • Familiarity with claims groupers such as Milliman's HCG
  • Product management training or analytics product delivery experience

Physical Requirements
  • Repetitive motions that include the wrists, hands and/or fingers
  • Sedentary work that primarily involves sitting, remaining in a stationary position for prolonged periods
  • Visual perception to perform job including peripheral vision, depth perception, and the ability to adjust focus

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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