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Opt Cpt Data Analyst Jobs in Minnesota (NOW HIRING)

IO Datasphere

Senior Data Management Analyst

Saint Paul, MN · On-site

$87K - $109K/yr

Our client seeks a Senior Data Management Analyst who will be responsible for supporting ... However, we cannot accept OPT or CPT visas at this time. *** Companies submitting candidates should ...

Compeer Financial

Intern Data Analytics

Mankato, MN · On-site +1

$20 - $21/hr

CPT & Pre-Opt candidates invited to apply. This is a paid internship; however, the intern must ... This internship will provide hands-on experience in the data analytics field. Ideal for ...

Compeer Financial

Intern Data Analytics

Lakeville, MN · On-site +1

$20 - $21/hr

CPT & Pre-Opt candidates invited to apply. This is a paid internship; however, the intern must ... This internship will provide hands-on experience in the data analytics field. Ideal for ...

Compeer Financial

Intern Data Analytics

Rochester, MN · On-site +1

$20 - $21/hr

CPT & Pre-Opt candidates invited to apply. This is a paid internship; however, the intern must ... This internship will provide hands-on experience in the data analytics field. Ideal for ...

Compeer Financial

Intern Data Analytics

Lakeville, MN · On-site

$20 - $21/hr

CPT & Pre-Opt candidates invited to apply. This is a paid internship; however, the intern must ... This internship will provide hands-on experience in the data analytics field. Ideal for ...

KPMG US

Manager, Data Operations

Minneapolis, MN · On-site

They are seeking a Manager, Data Operations to lead and manage resources for Azure Data Lake ... 1, OPT, CPT or any other employment-based visa) Preferred : • Bachelor's degree from an ...

Mortenson

Data Scientist

Minneapolis, MN · On-site

$92K - $138K/yr

Develop, analyze, and model operational, economic, management, and other organizational data ... S. without sponsorship for employment visa status (e.g., H1B status, 0-1, TN, CPT, OPT, etc.). We ...

Allianz

AIM Analyst- ALM | Hybrid

Minneapolis, MN · On-site

This includes holders of H-1B, H4, L-1, L-2, TN, OPT, CPT, and other nonimmigrant visas. Job posting range: AIM Analyst - $56,000 - $93,500 Note the job posting range is exclusive of company benefits ...

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Opt Cpt Data Analyst information

What is an Opt CPT Data Analyst?

An Opt CPT Data Analyst is a professional who specializes in analyzing data related to Optional Practical Training (OPT) and Curricular Practical Training (CPT) programs for international students in the United States. They collect, process, and interpret large datasets to help educational institutions or employers understand trends, compliance, and outcomes associated with OPT and CPT participation. Their work often involves ensuring visa regulations are followed and providing actionable insights to improve program effectiveness. Strong analytical, technical, and communication skills are essential in this role. This position may also require familiarity with immigration policies and student information systems.

What are the key skills and qualifications needed to thrive as an Opt CPT Data Analyst?

To thrive as an Opt CPT Data Analyst, you need strong analytical skills, proficiency in data interpretation, and a relevant degree in statistics, mathematics, computer science, or a related field. Familiarity with data analysis tools such as SQL, Excel, Python, or specialized healthcare analytics platforms, along with knowledge of CPT (Current Procedural Terminology) coding, is typically required. Attention to detail, critical thinking, and effective communication skills set outstanding analysts apart. These capabilities are essential to accurately interpret complex datasets, ensure data integrity, and support data-driven decision-making in healthcare operations.

How does an Opt CPT Data Analyst typically collaborate with cross-functional teams to ensure data accuracy and compliance?

An Opt CPT Data Analyst frequently works alongside teams such as compliance, IT, billing, and clinical staff to validate data accuracy and ensure adherence to healthcare regulations. This role requires clear communication to interpret complex data sets, resolve discrepancies, and implement effective data management processes. Regular meetings and collaborative problem-solving are common, as the analyst must often translate technical findings into actionable insights for non-technical stakeholders. This teamwork is essential to maintain compliance with standards like HIPAA and to optimize billing and reporting workflows.

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

AspectOpt Cpt Data AnalystOpt Cpt 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
Work EnvironmentBusiness settings, finance, healthcare, retailTech firms, research institutions, large enterprises
Employer & Industry UsageCommon in industries requiring data reporting and visualizationFocused on predictive modeling, advanced analytics, and AI

Opt Cpt Data Analysts primarily handle data collection, cleaning, and reporting to support business decisions. In contrast, Opt Cpt Data Scientists develop models and algorithms to extract deeper insights. Both roles require strong analytical skills, but Data Scientists typically have more advanced technical expertise and education.

What are popular job titles related to Opt Cpt Data Analyst jobs in Minnesota?

For Opt Cpt Data Analyst jobs in Minnesota, the most frequently searched job titles are:

What job categories do people searching Opt Cpt Data Analyst jobs in Minnesota look for?

The top searched job categories for Opt Cpt Data Analyst jobs in Minnesota are:

Opt Cpt Data Analyst jobs near you
Infographic showing various Opt Cpt Data Analyst job openings in Minnesota as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 14% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Senior Data Management Analyst

IO Datasphere

Saint Paul, MN • On-site

$110 - $140/hr

Other

Posted 5 days ago

Job description

Client Name Department of Children, Youth, and Families (DCYF)

Requisition 3838

Location St Paul, MN

Duration 1 year

Due Date 09/15/2026 or sooner

C2C Possible Yes. Rate depends on experience

Interview Method Webcam (MS Teams)

NOTE: The work is expected to be done remotely or hybrid at offices in St. Paul MN. Must be located within the borders of the United States and be available for work during regular business hours of 7:00 a.m. - 6:00 p.m. Central Time, Monday through Friday. We can accept H1b, H4, TN and other valid work visas for IT. However we cannot accept OPT or CPT visas at this time.

Description:

Our client seeks a Senior Data Management Analyst who will be responsible for supporting significant system changes to turn the organization's data into scalable, high value products--such as curated datasets, analytics platforms, and data infrastructures supporting the Whole Family approach. This role will lead efforts across data engineering, data science, and business strategy that help mature data practices and teams and drive organizational efforts to shift to new data lakes and data curation platforms from current legacy main frame systems.

At a high level, the resource will lead the strategy, roadmap, and execution of data efforts enabling better decision making, operational efficiency, and intelligent product experiences. Partnering closely with data engineering, data science, analytics, and business policy and administration, the Data Product Manager will facilitate and help drive the path towards trusted, reusable, governed, and consumable data assets across the enterprise.

This role requires strong analytical skills, deep understanding of data systems, and a strong aptitude in translating between technical teams and business understanding, throughout the product lifecycle.

Tasks

  • Data Product Development
  • Interested Parties Management
  • Analytics, Insights & Measurement
  • Governance, Compliance & Ethical Data Use
  • Provide knowledge transfer

Knowledge, Skills and Abilities Required (Soft Skills):

  • Demonstrated Product leadership skills and ability to work in ambiguity.
  • Ability to translate complex technical concepts into business-friendly language.
  • Strong communication, prioritization, and stakeholder management skills.
Skills Required
  • 4-7 years of experience in Data management, data analytics, data engineering, or related fields.
  • Strong understanding of data systems: pipelines, warehousing, modeling, metadata, governance.
  • Proficiency collaborating with data Architecture, data engineering and data science teams.
  • Experience with analytics tools (dbt, Looker, Tableau, Power BI, Google Analytics).
  • Understanding of large organizational data sharing constraints and data sharing agreements.
  • Experience with SQL, data lakes, data and data pipelines / ETL.
  • Significant experience with Databricks.
  • Familiarity with Java and Python.
  • Background in building internal platforms or developer facing products.
  • Experience in implementing modern data architectures at an organization.
  • Experience in a highly regulated industry performing statistical analysis and reporting.
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