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Remote Entry Level Data Analyst Jobs in Decatur, GA

Revenue Analyst - Lifecycle

Atlanta, GA · On-site +1

$85K - $120K/yr

This data-centric role is vital for building and maintaining analytics tools and workflows ... S. and are willing to consider remote candidates. #LI-Remote Working at PrizePicks: The typical ...

... Customer Data Management. You can learn more about LexisNexis Risk at the link below, About the ... Candidate can be hybrid from one of our offices or remote in the US. Responsibilities * Assist in ...

This position is fully remote, and shifts are available during EST through PST hours. The selected ... Analyzing data using spreadsheets to determine campaign criteria, deliverable volumes, and pricing

Use data analysis combined with economic and business knowledge to make recommendations on the ... Team members are expected to maintain a dedicated and ergonomically appropriate remote workspace.

Business Analyst has the primary responsibility to elicit, analyse, validate, specify, verify and ... Make presentations and arrange meetings to discuss data driven changes and improvements. * Collect ...

Data Analysis: * Collect and analyze data to gain insights into user behaviour, product usage, and marketing performance. * Use data-driven decisions to guide growth strategies and experiments. Viral ...

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Remote Entry Level Data Analyst information

See Decatur, GA salary details

$12

$32

$60

How much do remote entry level data analyst jobs pay per hour?

As of May 31, 2026, the average hourly pay for remote entry level data analyst in Decatur, GA is $32.15, according to ZipRecruiter salary data. Most workers in this role earn between $20.67 and $35.91 per hour, depending on experience, location, and employer.

What is a Remote Entry Level Data Analyst job?

A Remote Entry Level Data Analyst is a professional who works from a remote location to collect, process, and analyze data to help businesses make informed decisions. They use tools like Excel, SQL, and Python to identify trends, create reports, and support decision-making. Since this is an entry-level role, it typically requires basic data analysis skills and may involve working under the guidance of experienced analysts. Strong communication and problem-solving skills are essential for translating data insights into actionable business strategies.

What are the key skills and qualifications needed to thrive in the Remote Entry Level Data Analyst position, and why are they important?

To thrive as a Remote Entry Level Data Analyst, you need a solid understanding of data analysis, basic statistics, and proficiency with spreadsheet and data visualization tools—often supported by a degree in a related field such as mathematics or computer science. Familiarity with programming languages like SQL or Python and experience using analytics platforms like Excel, Tableau, or Google Data Studio are commonly required. Strong attention to detail, effective communication, and self-motivation are key soft skills for remote collaboration and successful project delivery. These skills are essential for accurately interpreting data, sharing actionable insights, and contributing to team objectives in a distributed work environment.

What does a typical day look like for a Remote Entry Level Data Analyst?

A typical day as a Remote Entry Level Data Analyst often involves cleaning and organizing datasets, generating basic reports, and collaborating with team members through virtual meetings and communication platforms. You might use spreadsheet software or data visualization tools to identify trends and present findings to your supervisor or project stakeholders. Regular tasks also include responding to ad-hoc requests for data and assisting more senior analysts on larger projects. Since you’re working remotely, maintaining clear communication and managing your time independently are crucial for staying aligned with your team’s goals.
What are the most commonly searched types of Remote Data Analyst jobs in Decatur, GA? The most popular types of Remote Data Analyst jobs in Decatur, GA are:
What are popular job titles related to Remote Entry Level Data Analyst jobs in Decatur, GA? For Remote Entry Level Data Analyst jobs in Decatur, GA, the most frequently searched job titles are:
What job categories do people searching Remote Entry Level Data Analyst jobs in Decatur, GA look for? The top searched job categories for Remote Entry Level Data Analyst jobs in Decatur, GA are:
What cities near Decatur, GA are hiring for Remote Entry Level Data Analyst jobs? Cities near Decatur, GA with the most Remote Entry Level Data Analyst job openings:
Infographic showing various Remote Entry Level Data Analyst job openings in Decatur, GA as of May 2026, with employment types broken down into 5% Internship, 54% Full Time, 36% Part Time, and 5% Contract. Highlights an 88% Physical, 1% Hybrid, and 11% Remote job distribution, with an average salary of $66,866 per year, or $32.1 per hour.

HR Data Analyst, Talent Analytics

LivaNova

Atlanta, GA • Remote

$90K - $106K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 9 days ago


Job description

As a global medtech company, we are driven by our Vision of changing the trajectory of lives for a new day and our Mission to create ingenious solutions that ignite patient turnarounds. Our relentless commitment to patients and strong legacy of innovation in healthcare are the foundation of our future. If you're looking for a new chance, a new beginning, a new trajectory, LivaNova is where your talent can truly thrive. Join our talented team members worldwide to become a pioneer of tomorrow-because at LivaNova, we don't just treat conditions - we aspire to alter the course of lives.

POSITION SUMMARY:

The HR Data Analyst, Talent Analytics will carry out overall strategy for employee data at LivaNova to support the need for data-driven decision-making regarding workforce productivity, engagement and better returns from recruitment and learning investments in the company.

KEY RESPONSIBILITIES:

  • Compile, structure, and analyze data from HRIS, payroll and Finance systems to develop insights and conclusions that help streamline HR processes throughout the company.

  • Work with the full data analysis pipeline including data cleaning, process documentation, and communicating results via report writing and visualization.

  • Participate actively in HR Business Intelligence including project intake, visualization tools, quality assurance, and storytelling. Interpret employee data to identify significant differences, relationships, and trends in data, as well as factors that could affect the results of research.

  • Identify statistical analysis techniques required to deliver insights.

  • Advance the use of complex analytical techniques and statistical thinking.

  • Design and implement data models using statistical principles (e.g., regression, correlation) and develop predictive models for attrition, performance, and recruiting demand.

  • Produce concise, story-driven presentations to communicate analytic insights.

  • Collect and share information on government labor statistics and external benchmarks.

  • Continually analyze competitor practices to make appropriate recommendations to upper management.

  • Partner with HR leaders to design research plans, develop hypotheses, collect data, and run various statistical models.

  • Help recruiters by providing relevant data, statistics, trends, and patterns to make the recruiting process more efficient. Similar for talent development, total rewards and employee experience (e.g. retention) practices.

  • Collaborate with subject matter experts across the HR service areas (e.g. Talent Development, Total Rewards and Talent Acquisition), as well as HR leadership, to promote data governance and stewardship, and to improve overall strategic and operational performance and insight.

  • Work with the HR business partner for organizational development (e.g. organization levels, structure, teams, span of control) and partner with colleagues and customers to achieve meaningful discussions regarding data outputs and feedback on usage activities to improve HR output.

  • Educate the HR team on analytical findings, general data and data management best practices.

  • Interact with professional and community groups related to analytics and business intelligence and maintain strong internal and external networks of peers to stay always ahead of the curve.

ESSENTIAL KNOWLEDGE & EXPERIENCE:

  • Master's degree in Data Science, Computer Science, Business Analytics or closely related field

  • 1 year of experience as a Human Resources Analyst or HR Data Analyst

  • The Master's degree program must have included courses in Data Mining, Data-Driven Quality Management, Analytical Decision Modeling and provided technical hands-on experience with statistics, data analytics, data visualization (QLIK, Tableau or ggplot2), business intelligence, reporting and software experience with R or Python, a range of data types of various structures and sizes, and an understanding of the differences and use cases for interpretable vs. black box models.

Pay Transparency:A reasonable estimate of the annual base salary for this position is $90,000 - $106,000 + discretionary annual bonus. Pay ranges may vary by location.

Employee benefits include:

Health benefits - Medical, Dental, Vision

Personal and Vacation Time

Retirement & Savings Plan (401K)

Employee Stock Purchase Plan

Training & Education Assistance

Bonus Referral Program

Service Awards

Employee Recognition Program

Flexible Work Schedules

#LI-Remote

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