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Applied Data Analytics Jobs (NOW HIRING)

GitKraken

Applied Data Scientist

Scottsdale, AZ · Remote

Use ML, analytics, heuristics, and automation pragmatically rather than forcing a model where one ... Deep experience in machine learning, applied AI, or a similarly hands-on product data role at a ...

Novacore

Applied Data Scientist

We specialize in tailored solutions for niche industries, powered by advanced analytics, modern ... Data Scientist We are looking for an Applied Data Scientist with 3+ years of experience who has ...

Booz Allen Hamilton

Applied Data Scientist

Arlington, VA · On-site

$99K - $225K/yr

R0242962 Applied Data Scientist The Opportunity: As a data scientist, you're excited about building ... You'll help move beyond analysis to create robust, maintainable AI and ML systems that deliver ...

Elder Research

Data Analyst (Remote)

Four (4) years relevant experience in applied research, big data analytics, statistics, applied mathematics, data science, computer science, operations research or other closely related other ...

Elder Research

Data Analyst (Remote)

Four (4) years relevant experience in applied research, big data analytics, statistics, applied mathematics, data science, computer science, operations research or other closely related other ...

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Applied Data Analytics information

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How much do applied data analytics jobs pay per year?

As of Jul 14, 2026, the average yearly pay for applied data analytics in the United States is $129,468.00, according to ZipRecruiter salary data. Most workers in this role earn between $83,500.00 and $174,000.00 per year, depending on experience, location, and employer.

What is an Applied Data Analytics job?

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.

What are the typical daily responsibilities of someone working in Applied Data Analytics?

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 the Applied Data Analytics position, and why are they important?

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.

More about Applied Data Analytics jobs
What cities are hiring for Applied Data Analytics jobs? Cities with the most Applied Data Analytics job openings:
What are the most commonly searched types of Applied Data Analytics jobs? The most popular types of Applied Data Analytics jobs are:
What states have the most Applied Data Analytics jobs? States with the most job openings for Applied Data Analytics jobs include:
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Applied Data Analytics jobs near you
Infographic showing various Applied Data Analytics job openings in the United States as of July 2026, with employment types broken down into 1% Internship, 94% Full Time, 3% Part Time, and 2% Contract. Highlights an 79% Physical, 5% Hybrid, and 16% Remote job distribution, with an average salary of $129,468 per year, or $62.2 per hour.
Senior Data Analyst

Senior Data Analyst

North Carolina's Electric Cooperatives

Raleigh, NC • On-site

$83K - $105K/yr

Full-time

Posted 28 days ago

Job description

North Carolina Electric Membership Corporation Employer Website Posting
North Carolina Electric Membership Corporation is seeking a Senior Data Analyst at its Raleigh, NC location.
Job Description: Mentor junior data analysts. Identify enterprise and departmental data elements and facilitate management of that data. Develop and implement data collection and management strategies that optimize quality and consistency. Proactively maintain the data for accuracy, completeness, consistency, validity, integrity and timelines. Work with management to prioritize business and information needs, visualizations, and data discovery. Locate and define new process improvement opportunities.
Minimum Requirements: Position requires a Bachelor of Science degree (or foreign equivalent) in Data Science, Applied Data Analytics, Computer Science, or a related field of study. Position requires three (3) years of experience as a Data Analyst or a related occupation. Position requires three (3) years of experience with each of the following: machine learning algorithms, including supervised, unsupervised, and deep learning techniques (RandomForest, Decision Tree, Gradient Boosting, LGBM, and regression); libraries including scikit-learn, TensorFlow, PyTorch, Keras, Pandas, NumPy, and Matplotlib, Seaborn; information technology systems, data management, and reporting; reporting packages, databases (SQL), cloud data stores and development environments (Databricks or Azure) programming (python, scripting or ETL frameworks); statistics and using statistical packages for analyzing datasets (Excel, R, SPSS, or SAS Data Management); data models, visualization, database design, data mining and segmentation techniques; queries, report writing and presenting findings, dashboarding, and visualization (PowerBi, or Tableau).
How to Apply: Send resume to careers@ncemcs.com, reference Job No. 150 or click "Apply"
Equal Opportunity Employer
This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.

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