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Applied Data Analytics Jobs in Arkansas (NOW HIRING)

EXPERIENCE Minimum three (3) years' data analytics experience, which includes data extraction, data ... Communication Applied Research External Communication Sound Judgment Decision Making Written ...

EXPERIENCE Minimum three (3) years' data analytics experience, which includes data extraction, data ... Communication Applied Research External Communication Sound Judgment Decision Making Written ...

EXPERIENCE Minimum three (3) years' data analytics experience, which includes data extraction, data ... Communication Applied Research External Communication Sound Judgment Decision Making Written ...

EXPERIENCE Minimum three (3) years' data analytics experience, which includes data extraction, data ... Communication Applied Research External Communication Sound Judgment Decision Making Written ...

EXPERIENCE Minimum three (3) years' data analytics experience, which includes data extraction, data ... Communication Applied Research External Communication Sound Judgment Decision Making Written ...

EXPERIENCE Minimum three (3) years' data analytics experience, which includes data extraction, data ... Communication Applied Research External Communication Sound Judgment Decision Making Written ...

EXPERIENCE Minimum three (3) years' data analytics experience, which includes data extraction, data ... Communication Applied Research External Communication Sound Judgment Decision Making Written ...

Showing results 21-40

Applied Data Analytics information

What is applied data analytics?

An Applied Data Analytics job involves using data analysis, statistical methods, and machine learning techniques to extract insights and support decision-making in various industries. Professionals in this role work with large datasets, clean and preprocess data, and create visualizations to communicate findings effectively. They often use programming languages like Python or R, along with database tools such as SQL, to analyze trends and optimize business processes. Applied Data Analytics roles are found in sectors like healthcare, finance, marketing, and technology, helping organizations make data-driven decisions.

Is applied data analytics a good career?

Applied data analytics is a growing field with strong demand for professionals skilled in data analysis, statistical methods, and tools like SQL, Python, or R. It offers opportunities across various industries, competitive salaries, and potential for career advancement, making it a viable and rewarding career choice.

What does someone working in applied data analytics do?

Professionals in Applied Data Analytics typically spend their days collecting, cleaning, and analyzing large datasets to identify trends and patterns relevant to their organization’s goals. They use various statistical and machine learning techniques to build predictive models, generate visual reports, and present data-driven recommendations to stakeholders. Collaborating with cross-functional teams such as marketing, operations, and IT is common, ensuring data solutions are closely aligned with business needs. This dynamic role also involves continuous learning to keep up with evolving analytical tools and methodologies.

What are the key skills and qualifications needed to thrive in applied data analytics?

To thrive in Applied Data Analytics, you need strong analytical skills, proficiency in statistical methods, and typically a degree in data science, statistics, computer science, or a related field. Familiarity with programming languages such as Python or R, experience with data visualization tools like Tableau or Power BI, and knowledge of SQL are commonly required, along with relevant certifications such as Certified Analytics Professional (CAP). Strong problem-solving abilities, effective communication, and a knack for translating complex data into actionable insights set standout professionals apart. These skills are crucial for transforming raw data into meaningful solutions that support informed business decisions and drive organizational success.

What are popular job titles related to Applied Data Analytics jobs in Arkansas? For Applied Data Analytics jobs in Arkansas, the most frequently searched job titles are:
What job categories do people searching Applied Data Analytics jobs in Arkansas look for? The top searched job categories for Applied Data Analytics jobs in Arkansas are:
What cities in Arkansas are hiring for Applied Data Analytics jobs? Cities in Arkansas with the most Applied Data Analytics job openings:
Infographic showing various Applied Data Analytics job openings in Arkansas as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 14% Part Time, and 4% Contract. Highlights an 85% Physical, 5% Hybrid, and 10% Remote job distribution.

Data Analyst

Arkansas Blue Cross

Little Rock, AR • On-site

Full-time

Posted 19 days ago


Job description

To learn more about Arkansas Blue Cross and Blue Shield Hiring Policies, please click here.
Job Summary
This position provides critical support for the quality, validity and integrity of confidential data to use in decision making and organizational efficiency improvement initiatives. The Data Analyst retrieves, analyzes and summarizes business, medical, operations, financial, sales, customer and/or economic data in order to develop competitive and business intelligence, to optimize effectiveness and/or predict business outcomes. Incumbent identifies, analyzes, and interprets trends or patterns and prepares ongoing reports and data visualizations in order to support business decisions.
Requirements
EDUCATION
Bachelor's degree in Science, Technology, Math, Business, Data Science/Informatics, Actuarial Science, Healthcare Management, or other related field. In lieu of degree, five (5) years' health-related, non-clerical experience with an insurance, managed care, or healthcare technology-related organization will be considered.
EXPERIENCE
Minimum three (3) years' data analytics experience, which includes data extraction, data manipulation, repository building and data interpretation. OR applicable Masters in related field with minimum one (1) years' data analytics experience.
Experience with rational database i.e. SAS, SQL, AQT and MS Windows based query software.
Experience with the application of data management and analysis tools including but not limited to MS Access, SAS, R, S+, SQL, or Cognos preferred.
ESSENTIAL SKILLS & ABILITIES
Process Information
Deductive Reasoning
Category Flexibility
Case-Based Reasoning
Problem Solving
Report Creation
Report Processing
Report Presentations
Objectives Oriented
Strategic Approach
Critical Thinking
Organizing
Prioritization
Planning Activities
MySQL
IBM Cognos Impromptu
Mathematical Reasoning
Problem Sensitivity
Interpersonal Communication
Applied Research
External Communication
Sound Judgment
Decision Making
Written Expression
Written Comprehension
Information Collection
Analyze Information
Skills
• Analytical Decision Making• Analytical Problem Solving• Collaborative Communications• Critical Reasoning• Critical Thinking• Cross-Functional Communications• Cross-Functional Planning• Data Analysis• Database Queries• Data Management• Deductive Reasoning• IBM Cognos Impromptu• Information Interpretation• Management Techniques• Mathematical Reasoning• MySQL Database Administration• Object Classification• Problem Sensitivity• Researching• Security Awareness• Sound Judgment• Strategic Planning• Written Communication
Responsibilities
• Consults with users or decision makers to identify data sources, required data elements, and/or data validation standards.• Integrates data from multiple data sources or functional areas, ensures data accuracy and integrity, and updates data as needed to develop statistics and design methodologies to be used for decision making and new business initiatives.• Interprets data to identify business trends, conduct root cause analysis of business problems, and suggest areas for process improvement.• Manages and uses ad-hoc report requests and findings to develop reporting processes.• Serves on special projects.
Certifications
Security Requirements
This position is identified as level three (3). This position must ensure the security and confidentiality of records and information to prevent substantial harm, embarrassment, inconvenience, or unfairness to any individual on whom information is maintained. The integrity of information must be maintained as outlined in the company Administrative Manual.
Segregation of Duties
Segregation of duties will be used to ensure that errors or irregularities are prevented or detected on a timely basis by employees in the normal course of business. This position must adhere to the segregation of duties guidelines in the Administrative Manual.
Employment Type
Regular
ADA Requirements
2.1 General Office Worker, Semi-Active, Campus Travel - Someone who normally works in an office setting or remotely, periodically has lifting and carrying requirements up to 40 lbs and routinely travels for work within walking distance of location of primary work assignment as essential functions of the job.