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Remote Water Data Analyst Jobs in Decatur, GA (NOW HIRING)

SME Data Analytics

Atlanta, GA · On-site +1

$141.09K - $187.67K/yr

As SME Data Analytics-Water Modeling, you will serve as a specialized technical leader who helps ... of remote work, and an alternative work schedule program which provides a day off every other ...

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 ...

Associate, Provider Data Analytics

Atlanta, GA · Remote

$87.19K - $114.43K/yr

Hi, we're Oscar. We're hiring an Associate, Provider Data Analytics to join our Provider Data ... This is a remote position, open to candidates who reside in: Atlanta, GA. You will be fully remote ...

... 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 ...

... and remote resources to get the job done - consistently Here is the Job details: Title: Data ... Defines the data analytics research plan, scope and resources required to meet the objectives of ...

Associate, Provider Data Analytics

Atlanta, GA · Remote

$87.19K - $114.43K/yr

Hi, we're Oscar. We're hiring an Associate, Provider Data Analytics to join our Provider Data ... This is a remote position, open to candidates who reside in: Atlanta, GA. You will be fully remote ...

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Remote Water Data Analyst information

See Decatur, GA salary details

$33.2K

$80.7K

$132.8K

How much do remote water data analyst jobs pay per year?

As of May 30, 2026, the average yearly pay for remote water data analyst in Decatur, GA is $80,684.00, according to ZipRecruiter salary data. Most workers in this role earn between $61,000.00 and $94,700.00 per year, depending on experience, location, and employer.

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

To thrive as a Remote Water Data Analyst, you need strong analytical skills, a background in environmental science or engineering, and experience with data management and statistical analysis. Familiarity with GIS software, remote sensing tools, and data visualization platforms like Python or R is typically required, along with certifications in water resource management being advantageous. Exceptional attention to detail, problem-solving abilities, and effective communication are crucial soft skills for interpreting complex datasets and collaborating with remote teams. These skills ensure accurate analysis, informed decision-making, and actionable insights for water resource management in a remote setting.

What are the most common challenges faced by Remote Water Data Analysts when working with distributed teams?

Remote Water Data Analysts often encounter challenges related to communication and data accessibility when collaborating with geographically dispersed teams. Since data may come from various sources like sensors, field reports, and different departments, ensuring consistent data quality and timely sharing is critical. Effective collaboration typically relies on strong digital communication skills and familiarity with cloud-based data management platforms. Additionally, maintaining alignment on project goals and data interpretation can require regular virtual meetings and proactive documentation.

What are Remote Water Data Analysts?

Remote Water Data Analysts are professionals who collect, process, and interpret water-related data from a distance, often using digital tools and cloud-based software. They monitor water quality, usage, and availability by analyzing data from sensors, satellites, and other remote sources. Their work helps organizations make informed decisions about water resource management, policy, and environmental protection. These analysts typically collaborate with engineers, scientists, and government agencies to ensure water data is accurate and actionable. The remote aspect of the job allows them to perform tasks from anywhere, reducing the need for on-site presence.
What job categories do people searching Remote Water Data Analyst jobs in Decatur, GA look for? The top searched job categories for Remote Water Data Analyst jobs in Decatur, GA are:
What cities near Decatur, GA are hiring for Remote Water Data Analyst jobs? Cities near Decatur, GA with the most Remote Water Data Analyst job openings:

HR Data Analyst, Talent Analytics

LivaNova

Atlanta, GA • Remote

$90K - $106K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 8 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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