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Permanent Data Analyst Opt Jobs in Michigan (NOW HIRING)

Data Analyst

Brooklyn, MI · On-site

$80/hr

US-Citizen, H-1B, OPT-EAD, GC-EAD This is Hybrid Position. The applicant is expected to work onsite. Location; Brooklyn, NY 11201 The Senior Data Analyst with ETL Expertise shall provide Client Data ...

New

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 ...

Develop test cases and acceptance criteria for POS data products, maintained as permanent ... Serve as the analytics-facing consumer of the governed masters and attribution crosswalk, surfacing ...

Product Data Analyst

Three Rivers, MI · Hybrid

$72K - $94K/yr

As a Product Data Analyst, you will play a key role in analyzing player behavior and product usage ... OPT, etc. Gaming Compliance & Licensing Requirements As an online gaming company, BetMGM is ...

Role- Marketing Analyst LOcation- Warren MI -Onsite local preffered All Visa - No OPT Client ... Enhance data capabilities using T3 product portfolio, identifying exclusive first-party data to be ...

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Permanent Data Analyst Opt information

What are the key skills and qualifications needed to thrive as a permanent data analyst opt?

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.

Can a non-IT student become a permanent data analyst?

Yes, a non-IT student can become a permanent data analyst by developing skills in data analysis tools like Excel, SQL, and Python, and gaining knowledge of statistics and data visualization. Many employers value analytical ability and domain knowledge, and relevant certifications can enhance employability regardless of educational background.

What are the primary types of data projects a permanent data analyst opt 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.

Is a permanent data analyst in demand in 2026?

Permanent data analysts are expected to remain in high demand through 2026 due to the increasing reliance on data-driven decision making across industries. Skills in statistical analysis, data visualization, and proficiency with tools like SQL and Python will continue to be valuable for this role.
What are the most commonly searched types of Data Analyst Opt jobs in Michigan? The most popular types of Data Analyst Opt jobs in Michigan are:
What cities in Michigan are hiring for Permanent Data Analyst Opt jobs? Cities in Michigan with the most Permanent Data Analyst Opt job openings:
Infographic showing various Permanent Data Analyst Opt job openings in Michigan as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

$80/hr

Other

Posted 2 days ago

New


Job description

Job Title: Data Analyst

 Location: Brooklyn, MI

Duration: 6 Months + Extension

Bill Rate: $80/hr

Job Type: W2 Contract

Client: To Be Discussed Later

Work Authorization: US-Citizen, H-1B, OPT-EAD, GC-EAD

Job Description

This is Hybrid Position. The applicant is expected to work onsite.
Location; Brooklyn, NY 11201
Job Description:
The Senior Data Analyst with ETL Expertise shall provide Client Data Management team with technical expertise for the completion of Data Profiling/Cleansing, Conversion/Migration and Validation efforts as part of the Legacy Replacement initiative as well as Client ongoing process improvement programs.
Scope of Services:
The Senior Data Analyst with ETL Expertise will primarily be responsible for detailed field level analysis, metadata analysis, profiling, and mapping of VSAM files into relational/dimensional SQL tables as well as conversion/validation efforts as part of an enterprise-wide Legacy Replacement program.
The Senior Data Analyst will create and maintain the master data dictionary, and assist in database design of Client mission-critical applications and inventory of its components.

Mandatory Skills/Experience Data Analyst, SQL, ETL
Minimum of five (5) years of source-to-target data mapping experience in a mixed Mainframe and Relational Database environments.
Experience creating data dictionary documentation with business terms, valid values, and definitions.
Experience converting/migrating VSAM data to relational/dimensional SQL distributed databases.
Minimum of three (3) years of recent experience developing applications using IBM DataStage ETL.
Experience extracting field references and calculated data from COBOL programs.
Experience with BMC Control-M workload automation software.
Experience with GIT version control software.
Minimum of three (3) years of recent experience with Pension Administration systems.

Technical Ability Mandatory:
System Experience must have.
Strong SQL knowledge working with complex queries and stored procedures.
Proficiency in SSRS reports development.
Strong analytical skills demonstrated by the ability to receive and analyze requirements and propose a suitable solution that adheres to the team s methodology.
Ability to work in multiple environments: IBM Mainframe, Windows Server, and SQL Server.
Proficiency in mainframe applications encompassing COBOL, CICS and DB2.
Understanding of data structures and their relationship to ETL applications.
Ability to develop complex SQL data validations based on STTMs and target data Models.
Excellent analytical, problem-solving, and information gathering skills along with fundamental technical troubleshooting abilities. Desirable Skills/Experience
Experience extracting business rules from the existing legacy code.
Experience with Data Quality/Profiling tools.
Experience with Data Warehouses/Data Marts.
Experience with SQL Server Reporting Services (SSRS).
Prior experience working in a pension system, preferably New York State or New York City pension system.

Equal Opportunity Employer: We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.