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Remote Data Analytics Project Manager Jobs in Stone Mountain, GA

This is a remote position with up to 25% domestic travel. This role leads team management and ... Actively embraces AI solutions to scale throughput and project deliverables while ensuring data ...

Project Management Analyst

Duluth, GA · On-site +1

$107K/yr

Remote or Hybrid (Duluth, GA) Requirements What You'll Be Responsible For Project Management ... Operational Reporting & Analytics * Develop and maintain operational dashboards and reports for ...

You will report directly to the VP Data Analytics and Reporting and regularly collaborate with your ... Company-issued equipment + remote access Role Responsibilities The responsibilities of the role ...

You will report directly to the VP Data Analytics and Reporting and regularly collaborate with your ... Company-issued equipment + remote access Role Responsibilities The responsibilities of the role ...

... effective project and quality management methodologies to ensure our clients success. We are ... Bachelor's degree in data analytics, statistics, information systems, public administration, or ...

This person should also be data-driven, analytical, creative, results-oriented, and must possess ... Experience working with distributed or remote teams Type * Full-Time, Salary Exempt Location * We ...

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Remote Data Analytics Project Manager information

See Stone Mountain, GA salary details

$15

$52

$72

How much do remote data analytics project manager jobs pay per hour?

As of Aug 25, 2026, the average hourly pay for remote data analytics project manager in Stone Mountain, GA is $52.02, according to ZipRecruiter salary data. Most workers in this role earn between $45.00 and $60.91 per hour, depending on experience, location, and employer.

What is a remote data analytics project manager?

A Remote Data Analytics Project Manager oversees data analytics projects while working from a remote location, often coordinating virtual teams and managing project timelines, resources, and deliverables. They bridge the gap between technical data teams and business stakeholders, ensuring that analytics solutions align with business goals. These professionals are responsible for project planning, risk management, communication, and quality assurance throughout the project lifecycle. Their role requires strong leadership, analytical skills, and proficiency with data analytics tools and project management methodologies.

How does a remote data analytics project manager effectively coordinate with distributed analytics teams?

Remote Data Analytics Project Managers rely on robust communication tools and clear project management processes to ensure all team members stay aligned, regardless of location. They frequently schedule virtual meetings, set up centralized dashboards for tracking progress, and use collaboration platforms to share updates and resolve issues quickly. Building strong relationships with data analysts, engineers, and stakeholders is key to anticipating challenges and maintaining transparency throughout the project lifecycle. This approach helps ensure deadlines are met and project goals are achieved, even in a remote environment.

What are the key skills and qualifications needed to thrive as a remote data analytics project manager, and why are they important?

To thrive as a Remote Data Analytics Project Manager, you need a solid background in data analytics, project management methodologies, and typically a bachelor's degree in a related field. Familiarity with analytics tools (like Tableau, Power BI), project management software (such as Jira or Asana), and certifications like PMP or Agile are highly beneficial. Exceptional communication, problem-solving, and leadership skills help coordinate remote teams and manage stakeholder expectations. These skills ensure that projects are delivered on time, data-driven insights are actionable, and teams remain aligned despite working remotely.

What is the difference between Remote Data Analytics Project Manager vs Data Analyst?

AspectRemote Data Analytics Project ManagerData Analyst
Required CredentialsBachelor's in Data Science, Business, or related field; PMP or similar certificationsBachelor's in Statistics, Data Science, or related field; often no certification required
Work EnvironmentLeads projects, collaborates with teams remotely, manages timelinesAnalyzes data, creates reports, often works independently or in small teams remotely
Employer & Industry UsageTech, finance, healthcare companies managing data projects remotelyVarious industries, focusing on data analysis and reporting

The Remote Data Analytics Project Manager oversees data projects, coordinating teams and managing timelines, while Data Analysts focus on analyzing data and generating insights. Both roles often work remotely and require strong analytical skills, but project managers have additional responsibilities in leadership and project delivery.

What are popular job titles related to Remote Data Analytics Project Manager jobs in Stone Mountain, GA?

For Remote Data Analytics Project Manager jobs in Stone Mountain, GA, the most frequently searched job titles are:

What job categories do people searching Remote Data Analytics Project Manager jobs in Stone Mountain, GA look for?

The top searched job categories for Remote Data Analytics Project Manager jobs in Stone Mountain, GA are:

What cities near Stone Mountain, GA are hiring for Remote Data Analytics Project Manager jobs?

Cities near Stone Mountain, GA with the most Remote Data Analytics Project Manager job openings:

Infographic showing various Remote Data Analytics Project Manager job openings in Stone Mountain, GA as of August 2026, with employment types broken down into 84% Full Time, 15% Part Time, and 1% Contract. Highlights an 81% Physical, 2% Hybrid, and 17% Remote job distribution, with an average salary of $108,212 per year, or $52 per hour.

Data Scientist - People Analytics

Home Depot

Atlanta, GA • On-site, Remote

Full-time

Re-posted 19 days ago


Home Depot rating

7.4

Company rating: 7.4 out of 10

Based on 6,456 frontline employees who took The Breakroom Quiz

6th of 39 rated national retailers


Job description

With a career at The Home Depot, you can be yourself and also be part of something bigger.
Position Purpose:
The Data Scientist is responsible for supporting data science initiatives that drive business profitability, increased efficiencies, and improved candidate/associate experiences. This role applies industry-leading analytical methodologies and cutting-edge artificial intelligence for working with large, complex HR datasets to extract meaningful business insight and creatively solve business problems. Data Scientists are also responsible for ensuring that developed code is documented and maintained using modern version control (e.g., GitHub) as a library of reusable algorithms. This role requires deep knowledge in specialized data science areas, particularly in recommendation systems, Natural Language Processing (NLP), Generative AI, and agentic workflows.
As a Data Scientist, you will apply advanced analytics methods, machine learning algorithms, and Large Language Models (LLMs) to identify trends and provide highly scalable business solutions. You will be expected to own the end-to-end MLOps lifecycle-from ideation and research to deploying models into active production environments. This role must present complex insights and recommendations to non-technical audiences, explaining the benefits and impacts of the proposed solutions. In addition, Data Scientists collaborate tightly with IT, Staffing, and cross-functional business partners, requiring effective communication skills, relationship building, and a strong focus on understanding the overarching People Analytics ecosystem.
Key Responsibilities:
  • 55% Solution Development - Design and develop algorithms and models to use against large datasets to create business insights; Participates in large data analytics project teams by serving as a technical lead for analytics projects; May lead small projects and work independently on solution development; Execute tasks with high levels of efficiency and quality; Make appropriate selection, utilization and interpretation of advanced analytical methodologies
  • 20% Communicating Results - Effectively communicate insights and recommendations to both technical and non-technical leaders and business customers/partners; Present recommendations in a confident manner in order to influence execution of recommendation; Prepare reports, updates and/or presentations related to progress made on a project or solution; Clearly communicate impacts of recommendations to drive alignment and appropriate implementation
  • 10% Business Collaboration - Incorporate business knowledge into solution approach; Effectively develop trust and collaboration with internal customers and cross-functional teams; Work with project teams and business partners to determine project goals
  • 15% Technical Exploration & Development - Seek further knowledge on key developments within data science, technical skill sets, and additional data sources; Participate in the continuous improvement of data science and analytics by developing replicable solutions (for example, codified data products, project documentation, process flowcharts) to ensure solutions are leveraged for future projects; Build and maintain library of reusable algorithms for future use, ensuring developed codes are documented

Direct Manager/Direct Reports:
  • This position typically reports to Manager or above
  • This position has 0 Direct Reports

Travel Requirements:
  • Typically requires overnight travel less than 10% of the time.

Physical Requirements:
  • Most of the time is spent sitting in a comfortable position and there is frequent opportunity to move about. On rare occasions there may be a need to move or lift light articles.

Working Conditions:
  • Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable.

Minimum Qualifications:
  • Must be eighteen years of age or older.
  • Must be legally permitted to work in the United States.

Preferred Qualifications:
  • Masters in a quantitative field (Computer Science, Math, Statistics, etc.) or equivalent work experience
  • 4+ years of experience in data science, advanced analytics, and building production-level ML systems
  • Working knowledge of Microsoft Excel and Power Point
  • Proficient in Python (including Pandas and NumPy) and version control utilizing Git/GitHub
  • Proficient running queries against large-scale databases (preferably with Google BigQuery, SQL, and GCP)
  • Proficient with data visualization software (preferably Tableau)
  • Proficient with the end-to-end MLOps lifecycle, model deployment, and API serving (preferably with Kubeflow or MLflow)
  • Knowledgeable in Generative AI, LLM-powered agentic workflows, and recommendation systems

Minimum Education:
  • The knowledge, skills and abilities typically acquired through the completion of a bachelor's degree program or equivalent degree in a field of study related to the job.

Preferred Education:
  • No additional education

Minimum Years of Work Experience:
  • 3

Preferred Years of Work Experience:
  • No additional years of experience

Minimum Leadership Experience:
  • None

Preferred Leadership Experience:
  • None

Certifications:
  • None

Competencies:
  • Action Oriented: Taking on new opportunities and tough challenges with a sense of urgency, high energy, and enthusiasm
  • Business Insight: Applying knowledge of the business and the marketplace to advance the organization's goals
  • Collaborates: Building partnerships and working collaboratively with others to meet shared objectives
  • Communicates Effectively: Developing and delivering multi-mode communications that convey a clear understanding of the unique needs of different audiences
  • Customer Focus: Building strong customer relationships and delivering customer-centric solutions
  • Drives Results: Consistently achieving results, even under tough circumstances
  • Nimble Learning: Actively learning through experimentation when tackling new problems, using both successes and failures as learning fodder
  • Optimizes Work Processes: Knowing the most efficient and effective processes to get things done, with a focus on continuous improvement
  • Plans and Aligns: Planning and prioritizing work to meet commitments aligned with organizational goals
  • Self-Development: Actively seeking new ways to grow and be challenged using both formal and informal development channels

What Home Depot employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


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About Home Depot

Sourced by ZipRecruiter

The Home Depot is the world’s largest home improvement specialty retailer, operating a vast network of warehouse-format stores across the United States, Canada, and Mexico. Founded in 1978, the company has established itself as the primary resource for building materials, lawn and garden products, and home décor. Its business model caters to two distinct customer bases: Do-It-Yourself (DIY) homeowners and "Pro" customers, such as professional contractors and tradespeople. Beyond product sales, the company offers an extensive suite of services, including professional installation and one of the largest tool rental operations in North America.

Industry

Retail, manufacturing and personal services

Company size

10,000+ Employees

Headquarters location

Atlanta, GA, US

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