1

Data Analyst Computer Science Jobs in Oklahoma (NOW HIRING)

Ability to explain object-oriented programming principles, algorithm efficiency, and common data structures while preparing students for the AP Computer Science A examination including multiple ...

Analyze system performance, operational trends, failure data, and reliability metrics to support ... Bachelor's degree in Data Science, Computer Science, Computer Engineering, Mathematics or related ...

... analyzing data/information; writing technical/management reports; performing computer software ... A Bachelor of Science degree in Computer Science or Mathematics is required. -OR- A bachelor ...

Analyze system performance, operational trends, failure data, and reliability metrics to support ... Bachelor's degree in Data Science, Computer Science, Computer Engineering, Mathematics or related ...

... analyzing data/information; writing technical/management reports; performing computer software ... A Bachelor of Science degree in Computer Science or Mathematics is required. -OR- A bachelor ...

Required : • Bachelor's degree - Information Systems, Data Analytics, Computer Science, Business, Accounting, Finance, Economics • 8+ years of experience working with data-intensive business ...

Bachelor's Degree in Data Science, Computer Science, Business Analytics or other business-relevant discipline from a four-year college or university; OR 4 additional years of relevant data and ...

Bachelor's Degree in Data Science, Computer Science, Business Analytics or other business-relevant discipline from a four-year college or university; OR 4 additional years of relevant data and ...

next page

Showing results 1-20

Data Analyst Computer Science information

Is 40 too late for data science?

Data analysts and data scientists can successfully transition into the field at age 40 or older, as skills in programming, statistics, and data visualization are valuable regardless of age. Many professionals acquire relevant certifications or learn tools like Python, R, or SQL later in their careers to enhance their prospects.

What are the key skills and qualifications needed to thrive as a Data Analyst in Computer Science, and why are they important?

To thrive as a Data Analyst in Computer Science, you need strong analytical skills, proficiency in statistics, and a relevant degree in computer science, mathematics, or a related field. Familiarity with data analysis tools such as SQL, Python, R, and data visualization platforms like Tableau or Power BI, as well as experience with database systems, are typically required. Attention to detail, problem-solving abilities, and effective communication help data analysts translate complex data into actionable insights for stakeholders. These skills are crucial for accurately interpreting data trends, supporting business decisions, and driving organizational growth.

What is a Data Analyst in Computer Science?

A Data Analyst in Computer Science is a professional who collects, processes, and analyzes data to help organizations make informed decisions. They use various statistical tools and programming languages, such as Python, R, and SQL, to interpret complex datasets and identify trends or patterns. Their work often involves cleaning data, creating visualizations, and preparing reports for stakeholders. Data Analysts play a key role in turning raw data into actionable insights that drive business strategies.

How does a Data Analyst with a computer science background typically collaborate with other departments within a company?

Data Analysts with a computer science background often work closely with teams such as marketing, product development, and IT to translate raw data into actionable insights. They may participate in cross-functional meetings to understand business goals, provide data-driven recommendations, and help automate data collection processes. Strong communication skills are essential, as analysts must explain technical findings in a way that non-technical stakeholders can understand. This collaborative environment not only broadens their impact but also exposes them to various aspects of the business, fostering professional growth.

Can I be a data analyst with computer science?

Yes, a background in computer science provides a strong foundation for a data analyst role, as it covers programming, data structures, and algorithms. Data analysts often use tools like SQL, Excel, and statistical software, and having programming skills in languages such as Python or R is highly beneficial.

Is a data analyst a high salary?

Data analysts typically earn competitive salaries that vary based on experience, location, and industry. In general, they have higher-than-average starting pay compared to many entry-level roles, especially when skilled in tools like Excel, SQL, and data visualization software. Advanced skills or certifications can lead to higher compensation.

Will AI replace a data analyst?

AI can automate routine data processing and basic analysis tasks, but data analysts are essential for interpreting complex data, making strategic decisions, and providing context. The role of a data analyst involves skills like critical thinking, domain knowledge, and communication, which are difficult for AI to fully replicate. Therefore, AI is more likely to augment rather than replace data analysts in the foreseeable future.
What are popular job titles related to Data Analyst Computer Science jobs in Oklahoma? For Data Analyst Computer Science jobs in Oklahoma, the most frequently searched job titles are:
What job categories do people searching Data Analyst Computer Science jobs in Oklahoma look for? The top searched job categories for Data Analyst Computer Science jobs in Oklahoma are:
What cities in Oklahoma are hiring for Data Analyst Computer Science jobs? Cities in Oklahoma with the most Data Analyst Computer Science job openings:
Operational Data Analyst

Operational Data Analyst

Revenue Management Solutions LLC

Oklahoma City, OK • On-site

$60K - $75K/yr

Full-time

Re-posted 13 days ago


Job description

Job Description


The Operations Data Analyst is responsible for data analysis requests and the support of our internal Operations Teams. Responsibilities include research into processing metrics and exception reduction as well as quality control and cost-reduction insight. This team works alongside Operations, Development, and External Client Teams to define and implement improvements for the day-to-day processing of volume.


Duties and Responsibilities

  • Provide long-term reporting, team metrics and quality control insight using tools such as Microsoft SQL Server, Sisense, Excel, Python, and more
  • Research and develop suggested improvements for production processing efficiency
  • Create, test, and maintain SQL stored procedures alongside a Unit Test environment
  • Work with proprietary software to manage internal document extraction methods through building, testing, and deployment pipelines
  • Perform dataset collection for creation of new machine learning processes
  • Perform data labelling and dataset refinement to fine-tune current and future machine learning methods
  • Manage and resolve data extraction inconsistencies per client standard
  • Other duties and responsibilities as assigned


Qualifications

  • 1-3 years SQL and Python
  • Data Analytic/Mining skills required
  • Experience with Jira or similar ticket tools preferred.
  • Experience with version control (GIT, CVS)
  • Experience with query performance tuning preferred
  • Experience troubleshooting in a live production environment preferred
  • Experience with large datasets preferred
  • Experience with high volume and fast turnaround preferred
  • Proficiency in MS Office Suite
  • Understanding of Healthcare claims and payments revenue cycle strongly desired
  • Problem-solving skills
  • Excellent verbal and written communication skills
  • Excellent organizational skills and attention to detail
  • Able to multitask, prioritize, and manage time effectively
  • Attention to detail


Education/Experience

A bachelor's degree in a technical field is not required, but preferred. More than anything, RMS is looking for people who are passionate about technology who want to develop the skills to solve hard and important problems.


Environmental Conditions

Indoor climate-controlled environment. Moderate to quiet noise level


Physical requirements

While performing the duties of this Job, the employee is regularly required to communicate verbally and in the written form. The employee is physically required to utilize a laptop and other electronic devices effectively. The employee must lift and/or move up to 20 pounds (laptop computer, bag, and accessories). Specific vision abilities required by this job include close vision and distance vision.


All applicants are subject to a drug screen and background check per company policies