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Data Analyst Opt Jobs (NOW HIRING)

Mom's Meals

Principal Data Analyst

Ankeny, IA · Remote

F1-OPT, F1-CPT, H-1B, TN, L-1, J-1, etc. Benefits Our employees enjoy a generous package of ... Own analysis quality: data validation, experiment/study design, sensitivity checks, and ...

Mom's Meals

Principal Data Analyst

Ankeny, IA · On-site +1

F1-OPT, F1-CPT, H-1B, TN, L-1, J-1, etc. Benefits Our employees enjoy a generous package of ... Own analysis quality: data validation, experiment/study design, sensitivity checks, and ...

Mom's Meals

Principal Data Analyst

Ankeny, IA · Remote

F1-OPT, F1-CPT, H-1B, TN, L-1, J-1, etc. Benefits Our employees enjoy a generous package of ... Own analysis quality: data validation, experiment/study design, sensitivity checks, and ...

The Hartford

Business Data Analyst

Charlotte, NC · Hybrid

$80K - $120K/yr

Consultant Bus Data Analysis - GA08BE We're determined to make a difference and are proud to be an ... The company will not support the STEM OPT I-983 Training Plan endorsement for this position.

The Hartford

Business Data Analyst

Chicago, IL · Hybrid

$80K - $120K/yr

Consultant Bus Data Analysis - GA08BE We're determined to make a difference and are proud to be an ... The company will not support the STEM OPT I-983 Training Plan endorsement for this position.

The Hartford

Business Data Analyst

Columbus, OH · Hybrid

$80K - $120K/yr

Consultant Bus Data Analysis - GA08BE We're determined to make a difference and are proud to be an ... The company will not support the STEM OPT I-983 Training Plan endorsement for this position.

Apex Informatics

Business Data Analyst

Cannot work with OPT or CPT Rate: 65/hr w2 Description: - Highly prefer individuals who have prior ... RESPONSIBILITIES: • Support the Data product team in gathering, analyzing and organizing the data ...

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How much do data analyst opt jobs pay per year?

As of Jun 17, 2026, the average yearly pay for 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 some of the primary challenges faced by Data Analyst Opt professionals, and how can they be overcome?

Data Analyst Opt professionals often face challenges such as managing large, complex data sets, ensuring data accuracy, and presenting findings in a way that is easily understood by non-technical stakeholders. Collaborating closely with cross-functional teams and effectively prioritizing tasks can help manage workload and clarify project objectives. Staying updated on the latest data tools and best practices is also important for efficient data processing and analysis. Many analysts overcome these challenges by investing in continuous learning, seeking mentorship, and proactively communicating with team members to ensure clear understanding of data needs and business goals.

What are the key skills and qualifications needed to thrive in the Data Analyst Opt position, and why are they important?

A Data Analyst Opt typically requires strong analytical skills, a background in statistics or mathematics, and proficiency in data management, often supported by a relevant degree. Familiarity with tools like SQL, Python, Excel, and visualization platforms such as Tableau or Power BI, as well as relevant certifications, is highly valued. Exceptional attention to detail, effective communication, and problem-solving skills help analysts turn complex data into actionable insights for stakeholders. These abilities are crucial for accurately interpreting data trends, supporting business decisions, and driving organizational success.

What is a Data Analyst Opt job?

A Data Analyst OPT job is a position for international students on an F-1 visa who are authorized to work in the U.S. under the Optional Practical Training (OPT) program. These roles involve analyzing data, creating reports, and helping businesses make data-driven decisions. Common tasks include data cleaning, visualization, and using tools like SQL, Python, or Excel. OPT jobs allow recent graduates to gain practical experience in their field while complying with visa regulations.

More about Data Analyst Opt jobs
What cities are hiring for Data Analyst Opt jobs? Cities with the most 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 Data Analyst Opt jobs? States with the most job openings for Data Analyst Opt jobs include:
What job categories do people searching Data Analyst Opt jobs look for? The top searched job categories for Data Analyst Opt jobs are:
Data Analyst Opt jobs near you
Infographic showing various Data Analyst Opt job openings in the United States as of June 2026, with employment types broken down into 3% Locum Tenens, 75% Full Time, 10% Part Time, 7% Contract, and 5% Nights. Highlights an 81% Physical, 8% Hybrid, and 11% 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, a PurFoods Company

Ankeny, IA • Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

This job post has expired today. Applications are no longer accepted.

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

Position Summary
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

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