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Data Analytics Project Manager Jobs in Atlanta, GA

Online Data Engineer

Atlanta, GA · On-site

$108K - $130K/yr

... goals. * 20% - Project Management & Team Support - Effectively communicate insights and ... Participates in large data analytics project teams by serving as a lead for analytics projects; May ...

This position is located at Office of the Inspector General for Tax Admin,Office of Data Analytics ... projects and studies that are necessary for mission-critical work; AND - Researching and evaluating ...

Data Center Project Manager

Atlanta, GA · On-site

$116K/yr

Provide Management status of all active Data Center projects and Key Performance indicators. * Lead internal resources and vendors in the execution of Data Center deployments and builds.

The Manager of Data Analytics, Labor, will lead and develop a team of associates responsible for ... Support Enterprise strategic goals, objectives, and projects. * 20% - Ensure better education of ...

Participates in large data analytics project teams by serving as a technical lead for analytics ... This position typically reports to Manager or above * This position has 0 Direct Reports Travel ...

IT Project Manager

Atlanta, GA · On-site

$94K - $112K/yr

Role: IT Project Manager/IT Program Manager/Release Train Engineer/Scrum Master Location: Atlanta ... Experience with working an Enterprise Data, Data Analytics, Marketing Analytics environment (Data ...

The program provides meaningful projects with direct impact on our business as well as exposure to ... Graduate students obtaining a Master's degree in Data Science, Statistics, Analytics, Mathematics ...

What this job involves JLL is seeking a Manager, Data & Analytics for the National Leasing Advisory Industrial platform to own the datasets, dashboards, and AI-enabled workflows that platform ...

New

Data Architect

Atlanta, GA · On-site

$62.25 - $80/hr

Work experience can include management experience or any functional expertise where proficiency is ... Experience working on Data & Analytics projects using Agile methodologies * Previous Retail ...

Showing results 41-60

Data Analytics Project Manager information

See Atlanta, GA salary details

$16

$55

$77

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

As of Aug 31, 2026, the average hourly pay for data analytics project manager in Atlanta, GA is $55.30, according to ZipRecruiter salary data. Most workers in this role earn between $47.84 and $64.71 per hour, depending on experience, location, and employer.

What is a data analytics project manager?

A Data Analytics Project Manager oversees data-driven projects, ensuring they align with business goals and are completed on time and within budget. They collaborate with data analysts, engineers, and stakeholders to define project requirements, manage resources, and monitor progress. Their role involves coordinating data collection, analysis, and visualization to support strategic decision-making. Strong project management, communication, and analytical skills are essential for success in this role.

What does a data analytics project manager do?

A Data Analytics Project Manager is responsible for overseeing the end-to-end lifecycle of analytics projects, including defining project scope, setting timelines, and managing resources. On a daily basis, you may coordinate with data analysts, data engineers, and business stakeholders to ensure requirements are clear and progress is on track. You will likely review deliverables, address roadblocks, and adjust plans as needed while ensuring that the team is aligned with business objectives. Regular communication and reporting to upper management or clients is also a key part of the role.

What are the key skills and qualifications needed to thrive as a data analytics project manager?

To excel as a Data Analytics Project Manager, you need a solid background in data analysis, project management methodologies (such as Agile or Waterfall), and a relevant degree in data science, statistics, or a related field. Familiarity with tools like SQL, Python, Tableau, and project management software (such as Jira or Asana), along with certifications like PMP or Certified Analytics Professional, is highly valued. Strong leadership, communication, and problem-solving skills help you effectively coordinate teams and manage stakeholder expectations. These abilities are crucial for driving data projects to completion, ensuring analytical insights align with business goals, and adapting to evolving project requirements.

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

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

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

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

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Cities near Atlanta, GA with the most Data Analytics Project Manager job openings:

Infographic showing various Data Analytics Project Manager job openings in Atlanta, GA as of August 2026, with employment types broken down into 86% Full Time, 12% Part Time, and 2% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $115,030 per year, or $55.3 per hour.

Online Data Engineer

Home Depot

Atlanta, GA • On-site

$108K - $130K/yr

Full-time

Posted 25 days ago


Home Depot rating

7.4

Company rating: 7.4 out of 10

Based on 6,476 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:
Online Data Engineer teams at The Home Depot translate business requirements and build the infrastructure needed to capture customer data. They acquire datasets that align with business needs and develop algorithms to transform data into useful, actionable information. Additionally, they build, test, and maintain database pipeline architectures. They create new data validation methods and data analysis tools. Data Engineers develop application programming interfaces (APIs) to retrieve data.
Our Data Engineers develop, host, and maintain in-house enterprise solutions to improve reliability and confidence through monitoring, continually testing, and validating the products we support. These associates use big-data techniques to cleanse, organize and transform data and to maintain, defend and update data structures and integrity on an automated basis.
The Data Engineer position applies data extraction, transformation and loading techniques in order to connect large data sets from a variety of sources. They create data collection frameworks for structured and unstructured data and develops and maintain infrastructure systems (e.g., data warehouses, data lakes) including data access APIs. Data Engineers prepare and manipulate data using Hadoop or equivalent MapReduce platform.
Key Responsibilities:
  • 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.
  • 20% - Project Management & Team Support - 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.
  • 55% - Solution Development - Develops algorithms to transform data into useful, actionable information. 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 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.
  • 15% - Technical Exploration & Development - Seek further knowledge on key developments within advanced analytics, technical skill sets, and additional data sources. Participate in the continuous improvement of predictive and prescriptive analytics by developing replicable solutions.

Direct Manager/Direct Reports:
  • This position reports to the Manager or Above
  • This position has 0 direct reports

Travel Requirements:
  • No travel required.

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 18 years of age or older.
  • Must be legally permitted to work in the United States.

Preferred Qualifications:
  • Bachelors or Masters in a quantitative field (Analytics, Computer Science, Math, Physics, Statistics, etc.) or relevant work experience.
  • Demonstrated knowledge developing and testing ETL jobs/pipelines, configuring orchestration, automated CI/CD, writing automation scripts, and supporting the pipelines in production.
  • Experience in high-level programming languages such as Python
  • Experience defining and capturing metadata and rules associated with ETL processes
  • Experience building Batch and Streaming pipelines
  • Experience writing analytical SQL queries
  • Ability to stich and maintain data from multiple sources
  • Ability to use JavaScript, Front-end development frameworks (React, Nucleus), and QA apps (Retina, KPI Shield, Alert Goose)
  • Ability to produce tags for site data
  • Ability to code in Python, Google BigQuery to stitch and enrich the raw data from multiple sources
  • Ability to use PySpark, AirFlow, and DataProc to engineer and automate data flows pipelines
  • Ability to optimize the pipelines run time and lower the cost on slots/storage consumption
  • Ability to prioritize requests and manage a product roadmap
  • Strong verbal and written communications skills at all levels

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

Minimum Years of Work Experience:
  • 2

Preferred Years of Work Experience:
  • 3

Minimum Leadership Experience:
  • No previous leadership experience

Preferred Leadership Experience:
  • No previous leadership experience

Certifications:
  • None

Competencies:
  • Action Oriented
  • Collaborates
  • Communicates Effectively
  • Customer Focus
  • Drives Results

What Home Depot employees say

Pay

Benefits

Hours and flexibility

Workplace

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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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