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Remote Data Processing Jobs in Kentucky (NOW HIRING)

TE Connectivity

ACCOUNT MGR III (Remote)

Louisville, KY · On-site +1

$92K - $125K/yr

... power and data inside the products that touch every aspect of our lives. Our nearly 90,000 ... process. All legitimate job openings are posted exclusively on our official careers website at te ...

EnthuZiastic

Growth Hacker - Remote

Louisville, KY · Remote

Data Analysis: * Collect and analyze data to gain insights into user behaviour, product usage, and ... and processes. * Opportunity to work closely with serial tech entrepreneurs from Silicon Valley.

EnthuZiastic

Growth Hacker - Remote

Lexington, KY · Remote

Data Analysis: * Collect and analyze data to gain insights into user behaviour, product usage, and ... and processes. * Opportunity to work closely with serial tech entrepreneurs from Silicon Valley.

EnthuZiastic

Growth Hacker - Remote

Owensboro, KY · Remote

Data Analysis: * Collect and analyze data to gain insights into user behaviour, product usage, and ... and processes. * Opportunity to work closely with serial tech entrepreneurs from Silicon Valley.

EnthuZiastic

Growth Hacker - Remote

Bowling Green, KY · Remote

Data Analysis: * Collect and analyze data to gain insights into user behaviour, product usage, and ... and processes. * Opportunity to work closely with serial tech entrepreneurs from Silicon Valley.

EnthuZiastic

Growth Hacker - Remote

Covington, KY · Remote

Data Analysis: * Collect and analyze data to gain insights into user behaviour, product usage, and ... and processes. * Opportunity to work closely with serial tech entrepreneurs from Silicon Valley.

EnthuZiastic

Growth Hacker - Remote

Frankfort, KY · Remote

Data Analysis: * Collect and analyze data to gain insights into user behaviour, product usage, and ... and processes. * Opportunity to work closely with serial tech entrepreneurs from Silicon Valley.

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Remote Data Processing information

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How much do remote data processing jobs pay per hour?

As of Jul 1, 2026, the average hourly pay for remote data processing in Kentucky is $17.60, according to ZipRecruiter salary data. Most workers in this role earn between $13.99 and $19.42 per hour, depending on experience, location, and employer.

How can I make 2000 a week working from home?

Remote data processing jobs can offer high earning potential, especially for experienced professionals who handle large datasets, use specialized tools, and meet project deadlines. To earn $2000 weekly, you may need to work multiple projects, develop strong skills in data analysis and processing, and possibly obtain relevant certifications. Consistent high-quality work and efficient time management are essential for reaching this income level remotely.

Are there real remote data entry jobs?

Yes, remote data entry jobs are available and involve inputting information into digital systems from home or other remote locations. These roles typically require basic computer skills, attention to detail, and sometimes familiarity with data management tools like spreadsheets or databases.

How to make $1000 a week remotely?

Remote data processing jobs can pay $1000 or more per week depending on experience, workload, and project complexity. To achieve this, professionals often work multiple projects, develop specialized skills in data analysis or automation, and utilize platforms that connect freelancers with clients. Consistent high-quality work and efficient time management are essential for reaching this income level.

What is the difference between Remote Data Processing vs Remote Data Analysis?

AspectRemote Data ProcessingRemote Data Analysis
Primary RoleHandling data input, cleaning, and preparationInterpreting data to generate insights and reports
Skills & CertificationsData management, SQL, basic scriptingStatistical analysis, data visualization, tools like Excel, R, Python
Work EnvironmentData warehouses, cloud platforms, databasesAnalysis tools, dashboards, reporting software
Industry UsageData management teams, IT departmentsBusiness intelligence, marketing, finance

Remote Data Processing focuses on preparing and managing raw data, while Remote Data Analysis involves interpreting that data to inform decisions. Both roles often require similar technical skills but differ in their core responsibilities and end goals.

What are some common challenges faced by professionals in remote data processing roles, and how can they be overcome?

Remote data processing professionals often encounter challenges such as ensuring data accuracy, managing large datasets, and maintaining clear communication with distributed teams. To overcome these, it's important to establish strong data validation protocols, use reliable tools for data management, and schedule regular virtual meetings to stay aligned with team objectives. Additionally, setting clear expectations and using collaborative platforms can help mitigate misunderstandings and improve workflow efficiency.

What jobs pay 4000 a week without a degree?

Remote data processing roles can pay around $4,000 per week for experienced professionals, especially those with strong skills in data analysis, programming, or automation. These jobs often require proficiency in tools like Python, SQL, or cloud platforms and may involve freelance or contract work with flexible schedules. High earnings typically depend on expertise, project complexity, and workload volume.

What is remote data processing?

Remote data processing refers to the collection, analysis, and management of data from a location outside of a traditional office setting, often using cloud-based tools and remote access technologies. Professionals in this role handle data entry, validation, organization, and sometimes basic analytics, ensuring data integrity and accessibility for organizations. This job typically requires strong computer skills, attention to detail, and the ability to work independently while maintaining data security and privacy protocols.

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

To thrive as a Remote Data Processing specialist, you need strong analytical skills, attention to detail, and proficiency in data entry and management, often supported by a relevant degree or experience in data-related roles. Familiarity with databases, spreadsheet software like Microsoft Excel or Google Sheets, and sometimes data processing tools such as SQL or Python is typically required. Excellent time management, self-motivation, and clear communication are essential soft skills for remote collaboration and meeting deadlines. These abilities ensure data accuracy, efficient processing, and effective teamwork in a remote work environment.
What are the most commonly searched types of Data Processing jobs in Kentucky? The most popular types of Data Processing jobs in Kentucky are:
What are popular job titles related to Remote Data Processing jobs in Kentucky? For Remote Data Processing jobs in Kentucky, the most frequently searched job titles are:
What job categories do people searching Remote Data Processing jobs in Kentucky look for? The top searched job categories for Remote Data Processing jobs in Kentucky are:
What cities in Kentucky are hiring for Remote Data Processing jobs? Cities in Kentucky with the most Remote Data Processing job openings:
Remote Data Processing jobs near you
Infographic showing various Remote Data Processing job openings in Kentucky as of June 2026, with employment types broken down into 1% As Needed, 73% Full Time, 21% Part Time, 1% Temporary, 3% Contract, and 1% Nights. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $36,611 per year, or $17.6 per hour.
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 5 days ago

ScionHealth rating

6.0

Company rating: 6.0 out of 10

Based on 48 frontline employees who took The Breakroom Quiz

731st of 877 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)

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