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Permanent Data Analyst Opt Jobs in Tennessee (NOW HIRING)

Big Data Architect

Memphis, TN · On-site

$62 - $79.75/hr

Full/Permanent Qualifications Basic: Bachelor's degree or foreign equivalent required from an ... Excellent problem solving and analytical skills. Ability and desire to work in a fast-paced ...

Strategic Analyst

Memphis, TN · On-site

$91K - $113K/yr

Document model logic, assumptions, and data sources thoroughly to ensure tools remain transparent ... permanent, maintained tools. * Risk Quantification * Design, build, and maintain structured risk ...

Strategic Analyst

Memphis, TN · On-site

$91K - $113K/yr

Document model logic, assumptions, and data sources thoroughly to ensure tools remain transparent ... permanent, maintained tools. * Risk Quantification * Design, build, and maintain structured risk ...

Strategic Analyst

Memphis, TN · On-site

$91K - $113K/yr

Document model logic, assumptions, and data sources thoroughly to ensure tools remain transparent ... permanent, maintained tools. * Risk Quantification * Design, build, and maintain structured risk ...

... data sets and communicate insights clearly • Understanding of supply chain or logistics cost ... OPT who subsequently would require ongoing visa sponsorship. Eastman Chemical Company is an equal ...

... data sets and communicate insights clearly • Understanding of supply chain or logistics cost ... OPT who subsequently would require ongoing visa sponsorship. Eastman Chemical Company is an equal ...

... SOA, BPM, Data Warehousing, SharePoint Consulting and IT Infrastructure. Our other offerings ... OPT EAD, GC EAD, GC, TN and Citizens Only Hi Friends, Hope you are doing great, I have an urgent ...

Showing results 21-40

Permanent Data Analyst Opt information

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 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 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.

What are the most commonly searched types of Data Analyst Opt jobs in Tennessee?

The most popular types of Data Analyst Opt jobs in Tennessee are:

What cities in Tennessee are hiring for Permanent Data Analyst Opt jobs?

Cities in Tennessee with the most Permanent Data Analyst Opt job openings:

Infographic showing various Permanent Data Analyst Opt job openings in Tennessee 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.

Full-time

Re-posted 27 days ago


Job description

Job Description

Hi,
I hope you are doing good.
I have a job opportunity related to your profile with one of our client, please find below Job Description for your review. If you are interested and available for the following position then please send your updated resume in word format along with your contact details to discuss further.
Role: Sr. Data Scientist
Duration: Full Time / Permanent
Location: Memphis, TN
Required Skills:

Overall Responsibilities:
Senior data scientist.
Research various analytical approaches
Recommend and develop mathematical algorithms for related business problems
Communicate and direct development teams on implementation of statistical models
Interface with Business users and gather feedback on delivered analytical data.
Deploy solutions on to big data platforms
Functional Responsibilities:
Specific tasks include but are not limited to:
Work on one of following initiatives within Predictive Client Analytics group: RFM recommendations, CCAR and other projects TBD
Validation of analytical approaches produced by vendor and 3rd party consulting teams
Developing data validation methods
Required Skills:
Technical / Analytical Skills:
Excellent understanding and experience with application of machine learning concepts and techniques (linear/logistic regression, clustering, classification, PCA, Naive Bayes, association rules, Collaborative Filtering, recommendation techniques etc.)
Experience with regression techniques for modeling the relationship between an output variable and several input variables
Experience with Big Data technologies
Experience with visualization tools like Tableau
Experience creating interface specification documents, attribute mapping documents, functional specifications
Experience with web scraping
Experience with Text Matching applications
Nice to have:
Understanding of regulatory guidelines (CCAR, Basel) around Model Risk Management
Working knowledge of various Fixed Income and Equities products, for example Derivatives, FX and Cash Equities
Essential Skills
Strong verbal and written communication skills
Strong research skills
Python, R, SQL, Hive, Spark
Statistical analysis: To understand and work around possible limitations in models
Being able to develop hypothesis and test the Hypothesis with careful experiments
Research and implement data mining machine learning algorithms in supervised and unsupervised learning areas
Should have experience with time series modeling
Should have experience with optimization approaches
Familiarity with the Big Data Ecosystem tools: Hadoop, Hive, Impala, Mahout, Spark(Spark SQL, MLLib),Hbase and be comfortable with the using the tools
Strong experience in data manipulation using SQL on Hive/Impala or other Databases
Experience in developing and deploying model with Mahout, Spark MLLib is preferable.
Must be proficient in programming either R/Python/Scala.
Should have experience in Financial services industry -Capital market would be preferable
Should have exposure to Data Visualization tools: Tableu(Preferable)/Qlickview/Excel

Additional Information

All your information will be kept confidential according to EEO guidelines.


Avance Consulting logo

About Avance Consulting

Sourced by ZipRecruiter

Avance Consulting is a global leader in innovative talent solutions for diverse industries. Since 2007, we have been serving nearly a third of Fortune 500 companies and most of the top 100 technology companies worldwide. Our team of 700+ experts offers Engineering Services, Information Technology, Digital and Executive Search solutions from our offices in North America, UK, Europe and APAC. At Avance you can learn new skills and technologies, have more advancement opportunities and career growth, being a part of our productive atmosphere, and a positive reinforcement culture.

Industry

Recruiting and staffing services

Company size

501 - 1,000 Employees

Headquarters location

Somerset , NJ, US

Year founded

2007

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