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Assistant Data Analytics Jobs in Oklahoma (NOW HIRING)

QuikTrip

Data Engineer II

Tulsa, OK

$98K - $118K/yr

  • PTO

Data Extraction and Analysis: Connect to diverse data sources and perform data analysis to ... This position requires good communications skills to assist customers with problems. Ability to ...

QuikTrip

Data Engineer II

Tulsa, OK · On-site

$104K - $125K/yr

  • PTO

... data analysis to determine if data is suitable for needs. • Development of automated data ... Assist in development of junior data engineers on skills or system knowledge through mentoring ...

QuikTrip

Data Engineer II

Tulsa, OK · On-site

$98K - $118K/yr

  • PTO

Data Extraction and Analysis: Connect to diverse data sources and perform data analysis to ... This position requires good communications skills to assist customers with problems. Ability to ...

Hangar Worldwide

Data Engineer -Mauritius

Blair, OK · On-site

$101K - $122K/yr

Stay up-to-date on latest industry news and analysis techniques * Assist in tagging and data infrastructure design What are we looking for? Besides a great attitude, You should have: * At least 3+ ...

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Assistant Data Analytics information

What is the difference between Assistant Data Analytics vs Data Analyst?

AspectAssistant Data AnalyticsData Analyst
Required CredentialsBachelor's degree in data science, statistics, or related fieldBachelor's or higher in data science, statistics, or related field
Work EnvironmentSupportive team, entry-level tasks, data collection and cleaningAnalyzing data, creating reports, providing insights
Employer & Industry UsageCommon in tech, finance, healthcare, and consulting firmsWidely used across industries for data-driven decision making

Assistant Data Analytics roles typically involve supporting data analysis tasks, focusing on data collection and cleaning, while Data Analysts perform in-depth analysis, generate reports, and provide strategic insights. Both roles require similar educational backgrounds, but Data Analysts usually have more experience and responsibilities.

What is an assistant data analytics?

Assistant Data Analytics professionals support data analysts and data scientists by preparing data, running basic analyses, and generating reports. They help collect, clean, and organize data so it can be used for business insights and decision-making. Their role often includes using spreadsheets, databases, and visualization tools to present findings clearly. This position is ideal for those starting in data analytics, as it offers hands-on experience with data processes and tools.

What does an assistant data analyst do?

An assistant data analyst supports data collection, cleaning, and analysis to help organizations make informed decisions. They often use tools like Excel, SQL, or data visualization software and may assist senior analysts with report preparation and data management tasks.

What are the key skills and qualifications needed to thrive as an assistant data analytics, and why are they important?

To thrive as an Assistant Data Analytics professional, you need strong analytical skills, a foundational understanding of statistics, and a relevant degree in fields such as mathematics, computer science, or economics. Familiarity with data analysis tools like Excel, SQL, and visualization software such as Tableau or Power BI is typically required. Attention to detail, problem-solving abilities, and effective communication are valuable soft skills for interpreting and presenting data insights. These skills and qualities are essential for supporting data-driven decision-making and ensuring accurate, actionable results in business environments.

What are some typical challenges faced by an assistant data analytics professional, and how can they be addressed?

Assistant Data Analytics professionals often encounter challenges such as managing large and sometimes incomplete datasets, prioritizing tasks among competing deadlines, and effectively communicating technical findings to non-technical team members. Building strong organizational skills and becoming proficient with data cleaning tools can help manage data quality issues. Regular collaboration with senior analysts and clear communication with stakeholders can also make it easier to navigate complex projects and bridge gaps between technical analysis and business insights.

What are the most commonly searched types of Data Analytics jobs in Oklahoma?

The most popular types of Data Analytics jobs in Oklahoma are:

What are popular job titles related to Assistant Data Analytics jobs in Oklahoma?

For Assistant Data Analytics jobs in Oklahoma, the most frequently searched job titles are:

What job categories do people searching Assistant Data Analytics jobs in Oklahoma look for?

The top searched job categories for Assistant Data Analytics jobs in Oklahoma are:

What cities in Oklahoma are hiring for Assistant Data Analytics jobs?

Cities in Oklahoma with the most Assistant Data Analytics job openings:

Assistant Data Analytics jobs near you

Research Assistant Professor of Computer Science - Omics Data Science for Immuno-Engineering

University of Oklahoma

Norman, OK • On-site

Full-time

Re-posted just now

University Of Oklahoma rating

8.1

Company rating: 8.1 out of 10

Based on 68 frontline employees who took The Breakroom Quiz

162nd of 618 rated colleges and universities

Job description

Description
The School of Computer Science at the University of Oklahoma invites the applications for two non-tenure track Research Assistant Professor positions in Omics Data Science and Bioinformatics for Immuno-Engineering. These research-focused faculty positions will support interdisciplinary multi-omics research through collaborative data analysis and methodology development for immuno-engineering applications.
Responsibilities
The successful candidates will be expected to:
• Collaborate with investigators on the design and analysis of multi-omics studies;
• Develop, validate, and apply computational workflows for large-scale omics data, including single-cell and spatial data;
• Support data integration, interpretation, manuscript preparation, and data sharing;
• Lead research and development of new bioinformatics, machine learning, and data science methods for immuno-engineering;
• Develop grant applications and contribute to proposals in immuno-engineering;
• Participate in workshops, consultations, and other collaborative research activities.
Qualifications
Applicants must have a Ph.D. in Computer Science, Bioinformatics, Computational Biology, Data Science, Biomedical Informatics, Statistics, or a closely related field. Candidates should have experience in computational analysis of biological or biomedical data, strong programming skills, experience with scalable computing environments, and the ability to work effectively in interdisciplinary teams.
Application Instructions
Applicants should submit a cover letter, CV, and contact information for three references to interfolio. Applications will be reviewed until the position is filled.

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About University of Oklahoma

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The University of Oklahoma is a prominent educational institution positioned in Norman, Oklahoma, US. Established in 1890, the university stakes a claim within the higher education industry and has a storied history of excellence in academics and research. Serving over 20,000 students, the university offers a wide range of programs across fields such as arts and sciences, business, engineering, international studies, and more. Emphasizing a dedication to unlocking potential, OU's mission is to provide the best possible educational experience to students through excellence in teaching, research, and creative activity. Notably, the institution has made significant strides in research with a focus on areas such as cancer, aerospace, and energy among others.

Industry

Education

Company size

5,001 - 10,000 Employees

Headquarters location

Norman, OK, US

Year founded

1890

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