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Permanent Data Analyst Opt Jobs (NOW HIRING)

... or permanent work authorization) now or in the future to work in the United States. This includes ... F1-OPT, F1-CPT, H-1B, TN, L-1, J-1, etc. Benefits Our employees enjoy a generous package of ...

Looking for Permanent / Visa independent consultants We are looking for a talented Data Analyst who can turn complex data into meaningful insights, telling compelling stories through data ...

... Permanent Placement (Staff Augmentation) ICAP (Contractor Payroll) Flextrack (Vendor Management System) Data Analyst On behalf of our client, Procom Services is searching for a Data Analyst for a ...

Data Analyst Our client, in the shipping and logistics/supply chain industry, is seeking a Data ... This is a junior to mid-level, permanent/direct hire position. The employee will have flexibility ...

... Permanent Placement Services and Vendor Management Programs. Major Responsibilities /Accountabilities: * Data gathering and analysis as part of assigned tasks and projects * Creating data ...

Data Analyst

New York, NY · Remote

$55 - $60/hr

Company Name: YUPRO Placement Data Analyst This is a contract opportunity. This is a remote ... permanent hire, apprenticeship, and contract job assignments. We represent clients who support ...

... Permanent Placement (Staff Augmentation) ICAP (Contractor Payroll) Flextrack (Vendor Management System) Data Analyst On behalf of our client, Procom Services is searching for a Data Analyst for a ...

Data Analyst * SME * MicroStrategy * Business Objects * Tableau TITLE: Data Analyst LOCATION ... permanent staffing firm that meets and exceeds the evolving IT service needs of leading ...

Data Analyst

Annapolis, MD · On-site

$130K - $190K/yr

Worker Type Regular Summary The Data Analyst will support to conceive, develop, mature, maintain ... S. lawful permanent resident (green card holder), or protected individual such as a refugee or ...

Data Analyst

Annapolis Junction, MD · On-site

$130K - $190K/yr

Worker Type Regular Summary The Data Analyst will support to conceive, develop, mature, maintain ... S. lawful permanent resident (green card holder), or protected individual such as a refugee or ...

Data Analyst #1058274 * We are seeking an Analytics Engineer (contract) to support development of ... option to opt out. Our tools are regularly reviewed to detect potential bias and to ensure ...

Data Analyst

Washington, DC · On-site

$71 - $79/hr

Short Description: Client seeks to hire a Data Analyst resource to provide data analysis and ... permanent staffing firm that meets and exceeds the evolving IT service needs of leading ...

Data Analyst

Washington, DC · On-site

$61 - $68/hr

The role of the Data Analyst is to provide data analysis support for the Office of the Chief ... permanent staffing firm that meets and exceeds the evolving IT service needs of leading ...

Use sophisticated data analysis methods to support project team in creating deliverable for client ... Only open to candidates US Citizens and Permanent Residents currently authorized to work in the US

... Staffing & Solutions) Permanent Placement Services and Vendor Management Programs. Collabera ... Performs data and process analysis. Ability to write SQL code in multiple OS platforms & software.

... Staffing & Solutions) Permanent Placement Services and Vendor Management Programs. Collabera ... Performs data analytics on various processes and projects to measure post-implementation ...

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Permanent Data Analyst Opt information

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$34K

$82.6K

$136K

How much do permanent data analyst opt jobs pay per year?

As of Jun 22, 2026, the average yearly pay for permanent data analyst opt 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 a Permanent Data Analyst, and why are they important?

To thrive as a Permanent Data Analyst, you need strong analytical skills, proficiency in data modeling, and a relevant degree such as in statistics, mathematics, or computer science. Familiarity with data analysis tools like SQL, Python, Excel, and visualization platforms such as Tableau, along with certifications like Microsoft Certified Data Analyst Associate, is often required. Attention to detail, critical thinking, and effective communication help translate complex data insights into actionable recommendations for stakeholders. These skills ensure accurate analysis, informed decision-making, and add value to organizational strategy.

What is a Permanent Data Analyst Opt?

A Permanent Data Analyst OPT is a data analyst who is employed in a long-term, full-time position and is typically working in the United States under Optional Practical Training (OPT) status. OPT allows international students who have completed their studies to work in their field of study for up to 12 months (or 36 months for STEM fields). As a permanent data analyst, the individual analyzes and interprets data to help organizations make informed decisions, often using statistical tools and software. The 'permanent' aspect refers to the job being a regular, ongoing position rather than a contract or temporary role.

What are the primary types of data projects a Permanent Data Analyst can expect to work on within an organization?

As a Permanent Data Analyst, you can expect to work on a variety of data projects, such as developing regular business intelligence reports, conducting ad-hoc data analyses to inform strategic decisions, and supporting data-driven process improvements across departments. You'll often collaborate with cross-functional teams—including IT, marketing, and operations—to gather requirements and ensure data solutions align with organizational goals. Over time, you may also take on projects involving data visualization, predictive modeling, or data quality enhancement, offering diverse opportunities for skill development and career advancement.

What is the difference between Permanent Data Analyst Opt vs Permanent Data Scientist?

AspectPermanent Data Analyst OptPermanent Data Scientist
Required CredentialsBachelor's in Data Analysis, Statistics, or related field; often certifications like Microsoft Excel or TableauBachelor's or Master's in Data Science, Computer Science, or related; certifications like Python, R, or machine learning courses
Work EnvironmentBusiness settings, finance, marketing, healthcare; focus on data reporting and visualizationResearch labs, tech firms, finance; focus on advanced modeling and predictive analytics
Employer & Industry UsageCommon in corporate, retail, healthcare industriesPrevalent in tech, finance, research institutions

The main difference between a Permanent Data Analyst Opt and a Permanent Data Scientist lies in their focus and skill set. Data Analysts primarily handle data reporting, visualization, and basic analysis, while Data Scientists develop complex models and predictive algorithms. Both roles require strong analytical skills, but Data Scientists typically have more advanced technical expertise and education.

More about Permanent Data Analyst Opt jobs
What cities are hiring for Permanent Data Analyst Opt jobs? Cities with the most Permanent Data Analyst Opt job openings:
What are the most commonly searched types of Data Analyst Opt jobs? The most popular types of Data Analyst Opt jobs are:
What states have the most Permanent Data Analyst Opt jobs? States with the most job openings for Permanent Data Analyst Opt jobs include:
Principal Data Analyst

Principal Data Analyst

Mom's Meals

Ankeny, IA • On-site, Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 15 days ago


Mom's Meals rating

6.2

Company rating: 6.2 out of 10

Based on 39 frontline employees who took The Breakroom Quiz

13th 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 and identifying potential inconsistencies or verification signals in application materials based on available information. 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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