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Remote Environmental Data Analyst Jobs in Oneonta, AL

Data Quality Engineer

Birmingham, AL · Remote

$107K - $128K/yr

... Remote-OH, Remote-PA, Remote-RI, Remote-VA Details Kemper is one of the nation's leading ... Test Environment Strategy and Management Support and contribute to enterprise test environment ...

FP&A Manager - REMOTE

Birmingham, AL · Remote

$120K - $125K/yr

Office Environment: Fully remote, with preference for candidates in the Atlanta area. Salary: Base ... analyst, ideally in a PE-backed company. ● Proven ability to manipulate and analyze large data ...

Participate in remote assignments or attend on-site sessions when required * Follow project ... reviewing applications, analyzing resumes, or assessing responses and identifying potential ...

Participate in remote assignments or attend on-site sessions when required * Follow project ... reviewing applications, analyzing resumes, or assessing responses and identifying potential ...

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Showing results 1-20

Remote Environmental Data Analyst information

See Oneonta, AL salary details

$27.2K

$66.1K

$108.8K

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

As of Aug 9, 2026, the average yearly pay for remote environmental data analyst in Oneonta, AL is $66,083.00, according to ZipRecruiter salary data. Most workers in this role earn between $50,000.00 and $77,600.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a remote environmental data analyst?

A Remote Environmental Data Analyst should have a solid background in environmental science, statistics, and data analysis, typically supported by a relevant degree. Familiarity with data analysis tools like R, Python, GIS software, and remote sensing platforms is essential, along with experience handling large environmental datasets. Strong analytical thinking, attention to detail, and effective written communication are critical soft skills for interpreting data and collaborating remotely. These competencies enable accurate environmental assessments and support informed decision-making for sustainability initiatives.

What does a remote environmental data analyst do?

A Remote Environmental Data Analyst collects, processes, and interprets environmental data such as air quality, water resources, or climate information, all while working from a remote location. They use statistical tools and software to analyze large datasets, identify patterns, and produce reports that support environmental research or policy decisions. Their work often involves collaborating with scientists, government agencies, or private organizations to help monitor and address environmental issues. Strong analytical skills and proficiency in data analysis software are essential for this role.

How does a remote environmental data analyst typically collaborate with other team members and stakeholders?

As a Remote Environmental Data Analyst, you often work closely with interdisciplinary teams that may include scientists, engineers, project managers, and government agencies. Collaboration is typically facilitated through digital communication tools, shared data platforms, and regular virtual meetings. Your role often involves interpreting data, generating reports, and presenting findings to both technical and non-technical stakeholders. Strong communication skills are essential, as you may need to explain complex data trends or offer actionable recommendations to support environmental projects and policy decisions.
What cities near Oneonta, AL are hiring for Remote Environmental Data Analyst jobs? Cities near Oneonta, AL with the most Remote Environmental Data Analyst job openings:

Human Resources Data Analyst

Books A Million Holding Company

Birmingham, AL • On-site, Remote

Full-time

Re-posted yesterday


Job description

Job Description: HR Data Analyst
Job Title: HR Data Analyst
Location: Birmingham, AL (This role can be performed remotely, with strong preference given to local Birmingham area candidates or those residing within a 2 to 3 hour drive from our home office.)
Position Type: Full-time
About Books-A-Million:
As one of the nation's leading book retailers, headquartered in Birmingham, Alabama, Books-A-Million is investing in data and analytics to drive smarter, faster decisions across the business. Our Human Resources team is building a single, trusted source of workforce intelligence, anchored in our Infor HRIS, to give leaders clear visibility into talent, retention, and organizational health. We are seeking a talented and detail-oriented HR Data Analyst to join our People & Analytics team and help turn HR data into reliable, actionable insight.
Job Summary:
The HR Data Analyst is responsible for transforming HR and workforce data into accurate, consistent, and decision-ready reporting. You will build and maintain dashboards, define standardized metric calculations, and partner with HR leaders to answer critical questions about turnover, talent acquisition, internal mobility, compensation, and benefits. This role reports to the SVP of Data & Analytics and supports a regular cadence of weekly, monthly, quarterly, and annual workforce reporting. The ideal candidate combines strong SQL skills, hands-on dashboard development in Power BI or Tableau, and a genuine commitment to clean, trustworthy data.
Key Responsibilities:
• Build, maintain, and continually improve HR dashboards and reports, segmented by location, role, and manager, using a modern data visualization tool such as Power BI or Tableau.
• Extract, transform, and analyze workforce data, ensuring it serves as a clean, reliable single source of truth for all downstream HR reporting.
• Develop and document standardized definitions and formulas for key HR metrics such as time-to-fill, turnover, internal mobility, and compa-ratio, so reporting is consistent and comparable across teams.
• Produce turnover and retention analytics, including voluntary vs. involuntary separations, tenure at exit, and regrettable-loss tracking, and support predictive flight-risk and workforce-forecasting models.
• Deliver talent acquisition reporting such as pipeline status, applications, source of hire, offer acceptance, cost per hire, quality of hire, and time-to-fill, to support recruiting and open requisitions.
• Track promotion and internal mobility rates, succession-pipeline health, and learning and training participation to inform strategic workforce planning.
• Report on compensation and benefits metrics, such as benefits enrollment and participation, and (in future phases) compa-ratio, salary-band, and pay-equity analysis.
• Support quarterly data-accuracy audits and compliance reporting, partnering with HR Operations and IT to identify and resolve data-quality issues at the source.
• Prepare recurring deliverables on a defined cadence, including the weekly Staff Book, monthly workforce snapshots, quarterly data audits, and the annual strategic workforce review.
• Consolidate reporting from multiple systems (for example, HRIS and connected learning, benefits, and case-management platforms) into one reliable, consistent view for HR leadership.
• Champion a data-driven culture within HR by delivering clear visualizations, thorough documentation, and hands-on support to non-technical stakeholders.
Qualifications:
• Bachelor's degree in a quantitative or related field such as Data Analytics, Statistics, Information Systems, Human Resources, Business, or Economics, or equivalent practical experience.
• Proven experience as an HR Data Analyst, People Analytics Analyst, Business Intelligence Analyst, or in a similar data and reporting role.
• High proficiency in SQL for data extraction, transformation, and analysis (required).
• Hands-on experience building dashboards and reports in a major data visualization tool such as Power BI or Tableau (required).
• Experience working with an enterprise HRIS
• Strong command of MS Excel for ad-hoc analysis and data validation.
• Solid understanding of core HR metrics and concepts such as turnover, time-to-fill, compa-ratio, headcount, and internal mobility is strongly preferred.
• Experience with Python or other scripting languages for data preparation is a plus.
• Strong analytical and problem-solving skills, with the ability to translate complex data into clear, accurate, and actionable insights.
• Meticulous attention to data quality and a commitment to consistent, well-documented metric definitions.
• Excellent communication and interpersonal skills, with the ability to collaborate with both technical and non-technical stakeholders, and to handle sensitive HR data with discretion and confidentiality.
• A proactive and adaptable mindset, with a willingness to take on new challenges and responsibilities in a fast-paced environment.
• Experience in the retail industry is a strong plus.