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Non Exempt Remote Data & Analytics Jobs (NOW HIRING)

Catasys Health

REMOTE Data Analyst

Los Angeles, CA · Remote

We use predictive analytics to identify health plan members with unaddressed behavioral health ... Excellent compensation As a Data Analyst, you will drive innovation, growth, and contribute to the ...

Catasys Health

REMOTE Data Analyst

Los Angeles, CA · On-site +1

We use predictive analytics to identify health plan members with unaddressed behavioral health ... Excellent compensation As a Data Analyst, you will drive innovation, growth, and contribute to the ...

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Palantir, Data Engineer

Detroit, MI · Remote

$113K - $135K/yr

A healthcare company based in the Midwest is looking to hire a remote Data Engineer with some ... Ideal candidate will have: * 1+ years in stakeholder-facing Data Engineering/Data Analytics ...

Strategic Employment

Palantir, Data Engineer

Detroit, MI · Remote

$113K - $135K/yr

A healthcare company based in the Midwest is looking to hire a remote Data Engineer with some ... Ideal candidate will have: * 1+ years in stakeholder-facing Data Engineering/Data Analytics ...

NuView Analytics

Data Analyst (Remote)

Denver, CO · Remote

$80K - $100K/yr

At NuView Analytics we help companies accelerate the time to insights from their data. We do this ... Salary: $80k100K + bonus + benefits Location: 100% remote for US-based candidates Responsibilities:

NuView Analytics

Senior Data Analyst (Remote)

Denver, CO · Remote

$90K - $120K/yr

100% Remote Full-time Senior Analyst At NuView Analytics we help companies accelerate the time to ... We do this in three ways data analytics, data diligence, and fractional data science. Our clients ...

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Non Exempt Remote Data Analytics information

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How much do non exempt remote data & analytics jobs pay per hour?

As of Jun 18, 2026, the average hourly pay for non exempt remote data & analytics in the United States is $54.75, according to ZipRecruiter salary data. Most workers in this role earn between $43.99 and $62.02 per hour, depending on experience, location, and employer.

Is 40 too late for data science?

Non Exempt Remote Data & Analytics roles often value skills and experience over age, and many professionals transition into data science later in their careers. Building relevant skills such as programming, statistics, and tools like Python or SQL can help offset age concerns, and continuous learning is common in the field.

What are the key skills and qualifications needed to thrive as a Non Exempt Remote Data & Analytics professional, and why are they important?

To thrive as a Non Exempt Remote Data & Analytics professional, you need strong analytical skills, attention to detail, and proficiency in data management, typically supported by a relevant degree such as in statistics, mathematics, or computer science. Familiarity with data analysis tools like Excel, SQL, and visualization platforms such as Tableau or Power BI is commonly required. Effective communication, self-motivation, and time management are crucial soft skills for remote collaboration and delivering insights. These capabilities ensure accurate data handling, meaningful analysis, and reliable performance in a remote work environment.

What are the typical daily responsibilities for a Non Exempt Remote Data & Analytics professional?

As a Non Exempt Remote Data & Analytics professional, your daily tasks typically include gathering and cleaning data from various sources, running standard reports, and assisting with data validation to ensure accuracy. You may also collaborate with team members via virtual meetings to discuss findings or troubleshoot data discrepancies. Additionally, you’ll often support larger analytics projects by preparing data sets and documenting processes, all while adhering to strict data privacy and security protocols. The role often requires effective time management, as you’ll need to balance multiple tasks and meet reporting deadlines.

What are the 4 types of data analyst?

Data analysts can be categorized into four main types: business analysts, data quality analysts, data warehousing analysts, and data visualization analysts. Each type focuses on different aspects of data, such as interpreting business needs, ensuring data accuracy, managing data storage, or creating visual reports, often requiring proficiency in tools like Excel, SQL, and visualization software.

Is it possible to get a remote job as a data analyst?

Yes, remote data analyst positions are widely available and often require skills in data visualization, SQL, and statistical analysis. Many companies offer remote work options for this role, especially for those with proficiency in tools like Excel, Tableau, or Python, and relevant certifications can enhance employability.

What are Non Exempt Remote Data & Analytics jobs?

Non Exempt Remote Data & Analytics jobs are positions that involve collecting, analyzing, and interpreting data while working remotely, and are classified as 'non exempt' under the Fair Labor Standards Act (FLSA). This means employees in these roles are eligible for overtime pay for hours worked over 40 in a workweek. These jobs typically include tasks such as data entry, data cleaning, generating reports, and supporting data-driven decision-making. Working remotely allows employees to perform their duties from home or another location outside the traditional office.

Is AI replacing data analysts?

AI tools are automating certain data processing and analysis tasks, but data analysts in non-exempt remote roles are still essential for interpreting insights, making strategic decisions, and ensuring data quality. AI enhances productivity but does not fully replace the need for human judgment and domain expertise in data analysis roles.
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Non Exempt Remote Data Analytics jobs near you

REMOTE Data Analyst

Catasys Health

Los Angeles, CA • Remote

Full-time

Posted 17 days ago

Job description

Company Description

Catasys is making a positive impact on people's lives every day. We use predictive analytics to identify health plan members with unaddressed behavioral health conditions that worsen chronic disease, then engage, support and guide these members to better health with a personalized, human-centered approach.  This has led us to where we are today: growing fast and saving lives as we do.

To support our explosive growth, we're looking for compassionate, hard-working people-lovers to join our team. If innovating in the field of patient care is something you're passionate about, we encourage you to join our mission to improve the health and save the lives of as many people as possible.

Impact lives in so many ways
You'll be an integral part in supporting people coping with their unique life challenges. Every member of the Catasys team contributes to accomplishing our goals and upholding our people-centric values.
The new face of mental health
Our model is research-based, and we are invested in staying on the leading edge of treatment. You'll help us break down barriers and stigmas associated with mental health.
Career options
Our ongoing strong growth and evolution, we are looking for people who want to do their best at work.   Join our team and take your career to the next level with Catasys. We are committed to promoting from within.
Excellent compensation

Job Description

As a Data Analyst, you will drive innovation, growth, and contribute to the company's ability to scale. Your work continually broadens access to reliable, accurate, and timely data to improve decision making. You will transform data into insights, leading to faster and more extensive exploratory analysis and quicker action based on evidence. Your insights will help grow the business by accelerating sales and customer expansion cycles, reinforcing Catasys' position as an industry leader in data and analytics. You excel at synthesize and communicate complex concepts and analyses in easy to understand ways.
 

Responsibilities

  • Dive into data to predict and quantify user behavior: our members, Care Team, and network providers.
  • Find actionable strategic insights through funnels, cohort analyses, user segmentation, retention analyses and regression models to help us grow our products.
  • Data storytelling: quantify user journeys to help identify opportunities to improve member outcomes and team productivity.
  • Become a Catasys subject matter expert to understand and anticipate the data needs of customers, Product, User Experience, and internal stakeholders.
  • Translate high-priority business problems to solve into concise measures.
  • Lead the Analytics Center of Excellence: a cross-functional team of Data Champions within the organization.
  • Drive a culture of analytical rigor and transparency, and shared understanding of measures
  • Work both collaboratively and autonomously.
  • Define KPIs, build automated dashboards, reports, and models to help teams make faster better decisions.
  • Work with engineering and product to implement, quality assurance, and monitor our logging and metrics.
Qualifications
  • Bachelor's Degree in Computer Science, math, economics, statistics, or other quantitative fields
  • 2+ years' experience with PowerBI DAX Programming
  • Expertise performing quantitative analysis
  • Excellent communication and presentation skills: you understand your audience and how to effectively present information to diverse stakeholders
  • Strong understanding of statistical methods and applications (A/B testing, probability, regression)
Additional Information

This position is REMOTE.

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