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Applied Data Analytics Jobs (NOW HIRING)

They are seeking an Applied Data Scientist to build and maintain machine learning models, design ... producing analysis. • Experience with embedding models and semantic similarity at enterprise ...

They are seeking an Applied Data Scientist to build and maintain machine learning models, apply NLP ... producing analysis. • Experience with embedding models and semantic similarity at enterprise ...

... applied data science; minimum 2 years working with NLP or large-scale text data in production ... Demonstrated track record of shipping models into production, not just producing analysis.

... applied data science; minimum 2 years working with NLP or large-scale text data in production ... Demonstrated track record of shipping models into production, not just producing analysis.

Own our analytical data pipeline and infrastructure across product, business, and AI performance ... applied data science Requirements * 5+ years of combined experience as an Engineer, Analytics ...

$120K - $170K/yr

Shift5 is seeking an Applied Data Scientist to join our growing Data Science team. In this role ... Advanced Data Analysis: Perform complex statistical analyses to push the envelope, interpret trends ...

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Applied Data Analytics information

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$26K

$129.5K

$229.5K

How much do applied data analytics jobs pay per year?

As of Aug 23, 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 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.

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.

Is 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.
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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:

Infographic showing various Applied Data Analytics job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $129,468 per year, or $62.2 per hour.

Applied Data Analytics & Visualization Analyst

Lorven Technologies

Austin, TX • On-site, Remote

Full-time

Re-posted 21 days ago


Job description

Role: Applied Data Analytics & Visualization Analyst
Location: 100% Remote, Work Location With-in the United States
Contract role
Job description:
The selected candidate will be responsible for the following duties with limited supervision:
  1. Clean and prepare data for reporting and analysis
  2. Conduct data validation and quality assurance to ensure accuracy and completeness
  3. Build, troubleshoot, and update reports and Power BI dashboards in accordance with established design standards

II. CANDIDATE SKILLS AND QUALIFICATIONS
Minimum Requirements:
Candidates that do not meet or exceed the minimum stated requirements (skills/experience) will be displayed to customers but may not be chosen for this opportunity.
Years
Required/Preferred
Experience
4
Required
Experience analyzing, cleaning, and preparing data for reporting or decision support
4
Required
Experience analyzing, cleaning, and preparing data for reporting or decision support
4
Required
Experience performing data validation & quality checks to ensure accuracy and completeness of analytical outputs
4
Required
Experience developing reports or dashboards using Power BI
4
Required
Experience with Power Query (M), DAX, and Python and/or SAS, or a demonstrated ability to learn quickly
4
Required
Ability to identify data inconsistencies and escalate quality concerns
4
Required
Familiarity with visual communication design principles and basic data visualization best practices
4
Required
Ability to work within established standards, guidelines, and data governance frameworks
4
Required
Strong attention to detail with a demonstrated commitment to data accuracy and quality
4
Required
Ability to work independently with limited supervision
4
Required
Effectively communicates metrics and limitations to nontechnical stakeholders
4
Preferred
Experience working with large or complex datasets from multiple sources (e.g., SharePoint, relational databases, fl
4
Preferred
Familiarity with version control or change-tracking practices for reports, datasets, or code (e.g., SharePoint versioni
4
Preferred
Experience documenting data definitions, business rules, or report logic to support transparency and repeatability
4
Preferred
Experience reviewing or enhancing existing dashboards for usability, performance, or accessibility
4
Preferred
Demonstrated capacity for self-reflection, intellectual curiosity, and a commitment to continuous improvement
4
Preferred
Experience using Smartsheet as a data source and integrating it with other datasets for reporting or analysis

Lorven technologies logo

About Lorven technologies

Sourced by ZipRecruiter

Lorven Technologies, headquartered in Plainsboro, New Jersey, United States, is a reputable company in the technology industry, specializing in providing effective IT solutions and consulting services. The company's official website, lorventech.com, offers comprehensive insights into its offerings which include but are not limited to software development, IT consulting, project management, and business analysis. Since its inception, Lorven Technologies has been committed to ensuring efficiency and reliability in delivering IT services to its global clientele, establishing itself as a trusted name in the industry.

Industry

It services

Company size

51 - 200 Employees

Headquarters location

Plainsboro, NJ, US

Year founded

2001

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