2

Remote Data Analyst Jobs in Kentucky (NOW HIRING)

Troubleshoot application, data, architecture, and interface-related problems * Communicate ... Strong analytical skills with the ability to make sound, independent decisions * Self-motivated ...

Senior Analyst

Lexington, KY · On-site +1

$77K - $102K/yr

... remote sensing, data management, quality control, and project delivery teams. Work Environment ... Geospatial Analysis and Product Development: * Conduct complex geospatial analyses using ...

Senior Analyst

Lexington, KY · On-site +1

$77K - $102K/yr

... remote sensing, data management, quality control, and project delivery teams. Work Environment ... Conduct complex geospatial analyses using transportation-related data sources, including roadway ...

Energy Procurement Analyst Location: Remote (U.S.) About World Fuel At World Fuel, we help ... We're looking for an analytical, detail-oriented professional who enjoys working with data, solving ...

Data Engineer (Remote)

Louisville, KY · On-site +1

$110K - $132K/yr

Collaborate with analysts, stakeholders, and product owners to translate business needs into data requirements and stable technical implementations * Enable data for AI/ML use cases by preparing ...

Data Engineer (Remote)

Louisville, KY · On-site +1

$104K - $125K/yr

Collaborate with analysts, stakeholders, and product owners to translate business needs into data requirements and stable technical implementations * Enable data for AI/ML use cases by preparing ...

Data Engineer (Remote)

Louisville, KY · On-site +1

$104K - $125K/yr

Collaborate with analysts, stakeholders, and product owners to translate business needs into data requirements and stable technical implementations * Enable data for AI/ML use cases by preparing ...

$94K - $113K/yr

Working closely with data scientists, analysts, and other stakeholders to deliver high-quality data ... Remote apply for this job

$94K - $113K/yr

Working closely with data scientists, analysts, and other stakeholders to deliver high-quality data ... Remote apply for this job

Remote opportunity! Some Travel required - see details below Starting Salary at 70,000 and up ... Compiles and provides quarterly audit data to the Vice President, Specialty Pharmacy Compliance or ...

$75K - $85K/yr

Analyze internal and external data to identify trends, risks, and opportunities * Support financial ... Remote, US The EverCommerce team is distributed globally, with teams in the U.S., Canada, the U.K ...

New

$75K - $85K/yr

Analyze internal and external data to identify trends, risks, and opportunities * Support financial ... Remote, US The EverCommerce team is distributed globally, with teams in the U.S., Canada, the U.K ...

New

next page

Showing results 1-20

Remote Data Analyst information

See Kentucky salary details

$29.5K

$71.8K

$118.1K

How much do remote data analyst jobs pay per year?

As of Jul 17, 2026, the average yearly pay for remote data analyst in Kentucky is $71,775.00, according to ZipRecruiter salary data. Most workers in this role earn between $54,300.00 and $84,200.00 per year, depending on experience, location, and employer.

Is there a high demand for data analysts?

The demand for data analysts remains strong across various industries due to the increasing reliance on data-driven decision making. Organizations seek professionals skilled in data visualization, statistical analysis, and tools like Excel, SQL, and Python, leading to steady job growth in this field.

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

To thrive as a Remote Data Analyst, you need strong analytical skills, proficiency in statistics, and a degree in a quantitative field such as mathematics, statistics, or computer science. Familiarity with data analysis tools like SQL, Excel, Python or R, and visualization platforms such as Tableau or Power BI is typically required. Excellent communication, self-motivation, and time management are crucial soft skills for collaborating remotely and presenting insights effectively. These skills ensure accurate data-driven decision-making and effective remote teamwork in a digital work environment.

Can I do a data analyst job remotely?

Yes, many data analyst positions are available for remote work, especially those that involve analyzing data, creating reports, and using tools like Excel, SQL, and data visualization software. Remote data analysts typically need strong communication skills and proficiency with relevant software to collaborate effectively with teams online.

Is 40 too late for data science?

For a remote data analyst role, age is generally not a barrier; many professionals transition into data science or analytics later in their careers. Success depends on acquiring relevant skills such as programming, statistics, and tools like SQL or Python, regardless of age. Continuous learning and building a strong portfolio can help late entrants compete effectively in the field.

How do Remote Data Analysts typically collaborate with team members and stakeholders given the virtual work environment?

Remote Data Analysts often rely on digital communication tools such as Slack, Microsoft Teams, and Zoom to stay connected with colleagues and stakeholders. They participate in regular virtual meetings, share dashboards or reports via cloud-based platforms, and provide data-driven insights to support decision-making. Successful remote analysts proactively communicate their findings, clarify requirements, and coordinate with cross-functional teams such as IT, marketing, or finance to ensure alignment on project goals and deliverables.

What does a Remote Data Analyst do?

A Remote Data Analyst is responsible for collecting, processing, and analyzing data to help organizations make informed business decisions, all while working from a location outside of a traditional office. They use statistical tools and software to interpret complex datasets, identify trends, and generate reports. Remote Data Analysts collaborate with team members via digital communication platforms and often present their findings to stakeholders to guide strategy and operations. Their work is essential in industries such as finance, healthcare, marketing, and technology, where data-driven decisions are crucial.

What is the difference between Remote Data Analyst vs Remote Data Scientist?

AspectRemote Data AnalystRemote Data Scientist
Required CredentialsBachelor's in Data, Statistics, or related field; often certifications in Excel, SQL, or TableauBachelor's or Master's in Data Science, Computer Science, or related; certifications in Python, R, machine learning
Work EnvironmentPrimarily office-based or remote, focusing on data analysis and reportingPrimarily remote, involving complex data modeling and predictive analytics
Employer & Industry UsageUsed across finance, marketing, healthcare, and retail sectorsCommon in tech, finance, and research industries

Remote Data Analysts focus on interpreting data, creating reports, and supporting decision-making, while Remote Data Scientists develop models, perform advanced analytics, and work on predictive insights. Both roles require strong analytical skills, but Data Scientists typically have more technical expertise in programming and machine learning.

Will AI replace data analyst?

AI tools can automate routine data processing and analysis tasks, but the role of a data analyst involves interpreting insights, understanding context, and communicating findings, which currently require human judgment. Data analysts will likely evolve to work alongside AI, focusing more on complex analysis, strategy, and decision-making that AI cannot fully replicate.

What Does a Remote Data Analyst Do?

Remote data analysts use a range of methods to chart, examine, and analyze data for their clients. Unlike in-house data analysts, remote data analysts, work from home or a different location outside of the office. As a remote data analyst, your job is to evaluate a company’s data using a combination of mathematical inspection, transformation, and modeling techniques to simplify and condense it. Once the analysis is complete, you create reports for management to use to make critical decisions; this is why remote data analysts need to confirm the accuracy of the data. You may also need to present your reports to stakeholders.

What are the most commonly searched types of Data Analyst jobs in Kentucky? The most popular types of Data Analyst jobs in Kentucky are:
What job categories do people searching Remote Data Analyst jobs in Kentucky look for? The top searched job categories for Remote Data Analyst jobs in Kentucky are:
What cities in Kentucky are hiring for Remote Data Analyst jobs? Cities in Kentucky with the most Remote Data Analyst job openings:
Senior Compensation Systems and Data Analyst (Remote)

Senior Compensation Systems and Data Analyst (Remote)

ScionHealth

Louisville, KY • On-site, Remote

$79K - $103K/yr

Full-time

Posted 20 days ago


ScionHealth rating

6.0

Company rating: 6.0 out of 10

Based on 48 frontline employees who took The Breakroom Quiz

746th of 886 rated healthcare providers


Job description

At ScionHealth, we empower our caregivers to do what they do best. We value every voice by caring deeply for every patient and each other. We show courage by running toward the challenge and we lean into new ideas by embracing curiosity and question asking. Together, we create our culture by living our values in our day-to-day interactions with our patients and teammates.
Job Summary
The Senior Compensation Systems & Data Analyst is responsible for supporting the integrity, accuracy, and operational effectiveness of the organization's compensation systems, job architecture data, market pricing infrastructure, and related analytics. This role combines compensation operations, systems administration, data governance, reporting, and analytical support to enable informed decision-making across the employee lifecycle. Working across compensation, human resources, business leaders, and other internal partners, this position maintains critical compensation data and tools, supports recurring audit and survey processes, develops dashboards and reports, and provides analytical insights that improve data quality, strengthen governance, and support strategic decision-making. This role also helps create scalability and operational consistency within the Compensation function.
Essential Functions
  • Administers and maintains compensation-related systems, workflows, access, and supporting processes.
  • Supports administration of market pricing platforms, including survey loads, pricing updates, survey matching, and pricing file maintenance.
  • Performs audits, reconciliations, and validation of compensation, job, and employee data across multiple systems and reports.
  • Maintains key job architecture attributes, including but not limited to job codes, SOC codes, FLSA status, job family, sub-category, geographic differentials, and eligibility indicators.
  • Identifies data quality issues, researches root causes, recommends corrective action, and supports long-term improvements in data governance.
  • Develops, maintains, and refreshes recurring compensation reports, dashboards, lookup tools, and data models.
  • Translates complex data into clear, practical recommendations for a range of audiences.
  • Provides deep-dive analyses and actionable insights that inform strategic and operational decisions.
  • Provides analytical support across compensation and broader people-related topics such as hiring, retention, engagement, and internal mobility.
  • Translates complex data into clear findings, practical recommendations, and decision-support materials for a variety of audiences.
  • Documents processes, supports standardization, and contributes to operational efficiency and audit readiness.
  • Develop materials and deliverables for business owners to aid in understanding and execution of compensation processes.

Knowledge/Skills/Abilities/Expectations
  • Strong analytical and problem-solving skills with the ability to work with large, complex datasets.
  • Strong attention to detail and commitment to data accuracy, validation, and process consistency.
  • Ability to identify trends, issues, and opportunities within data and translate them into actionable insights.
  • Ability to communicate technical or analytical information clearly and effectively to both technical and non-technical audiences.
  • Strong organizational skills with the ability to manage multiple priorities and deadlines.
  • Ability to work independently while also collaborating effectively with cross-functional partners.
  • Process orientation with a focus on documentation, control, and continuous improvement.
  • Advanced proficiency in Microsoft Excel required; Power Query preferred.
  • Experience with reporting, dashboard, or analytical tools such as Python or similar preferred.
  • Experience with HRIS and compensation systems preferred.

Qualifications
Education
  • Bachelor's Degree Human Resources, Business, Finance, Analytics, Information Systems, or a related field (Required)
  • Equivalent Combination of Education and Experience in related field (May be Considered)

Experience
  • 5+ years experience in compensation, HR systems, HRIS, people analytics, reporting, data analysis, or a related field (Required)
  • Prior Experience supporting compensation programs, market pricing, survey participation, job architecture, or related compensation processes (Preferred)
  • Prior Experience working with large datasets and multiple systems (Preferred)

What ScionHealth employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom