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Decision Analytics Associate Jobs in Villa Rica, GA

Sr. Decision Analyst, Experimentation

Atlanta, GA · On-site

$81K - $103K/yr

Decision Analytics associates produce insights that answer key enterprise questions around budget, priorities, courses of action, and important decisions. They develop frameworks for analysis by ...

Influencing executive decision-making with data-grounded recommendations, and serving as a thought ... Associates will work onsite 4 days per week. Work Authorization: Applicants must be currently ...

Advanced Analytics Consultant

Atlanta, GA · On-site

$111K - $200K/yr

Advanced Analytics Consultant Advanced Analytics Consultant Hybrid 1: This role requires associates ... decision making. How you will make an impact * Provides analytical insights to support business ...

Decision Science * Executive Storytelling The successful candidate will be equally comfortable ... associate. We value the diversity of our people. Equal Employment Opportunity HD Supply is an Equal ...

Decision Science * Executive Storytelling The successful candidate will be equally comfortable ... associate. We value the diversity of our people. Equal Employment Opportunity HD Supply is an Equal ...

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Decision Analytics Associate information

See Villa Rica, GA salary details

$2.8K

$5.5K

$7.9K

How much do decision analytics associate jobs pay per month?

As of Aug 8, 2026, the average monthly pay for decision analytics associate in Villa Rica, GA is $5,490.83, according to ZipRecruiter salary data. Most workers in this role earn between $4,983.33 and $5,858.33 per month, depending on experience, location, and employer.

What are the common challenges faced by decision analytics associates when working with cross-functional teams?

Decision Analytics Associates often collaborate with teams from marketing, operations, finance, and IT to gather data and implement solutions. A common challenge is translating complex analytical insights into actionable recommendations that are easily understood by non-technical stakeholders. Balancing multiple project priorities and adapting to varying data quality or availability can also be demanding. Proactive communication and a strong ability to tailor presentations to different audiences are key to success in this collaborative environment.

What is the difference between Decision Analytics Associate vs Data Analyst?

AspectDecision Analytics AssociateData Analyst
Required CredentialsBachelor's degree in Business, Analytics, or related field; proficiency in analytics toolsBachelor's degree in Statistics, Mathematics, or related field; strong data visualization skills
Work EnvironmentCollaborates with decision-makers to inform strategic choices, often in finance, marketing, or operationsAnalyzes data sets to identify trends, create reports, and support business insights
Employer & Industry UsageCommon in consulting, finance, and corporate strategy teamsWidely used across industries including healthcare, retail, and technology

While both roles involve data analysis, Decision Analytics Associates focus on applying insights to support strategic decision-making, whereas Data Analysts primarily interpret data to generate reports and identify trends. The roles often overlap but differ in their primary focus and application within organizations.

What is a decision analytics associate?

Decision Analytics Associates are professionals who use data analysis, statistical modeling, and business intelligence tools to help organizations make informed decisions. They typically gather and analyze large sets of data, identify trends, and develop actionable insights to improve business strategies. These associates often work with cross-functional teams to translate data findings into recommendations and support problem-solving across various business areas. Their work is crucial for companies seeking to optimize operations, enhance performance, and gain a competitive edge.

What are the key skills and qualifications needed to thrive as a decision analytics associate?

To thrive as a Decision Analytics Associate, you need strong quantitative analysis skills, a background in statistics or mathematics, and typically a bachelor's degree in a related field. Proficiency with data analytics tools such as SQL, Python, R, and visualization platforms like Tableau is essential. Excellent problem-solving abilities, communication skills, and attention to detail help you interpret data and convey insights effectively. These skills and qualities are vital to drive data-driven decision-making and deliver actionable recommendations that impact business outcomes.
What are popular job titles related to Decision Analytics Associate jobs in Villa Rica, GA? For Decision Analytics Associate jobs in Villa Rica, GA, the most frequently searched job titles are:
What cities near Villa Rica, GA are hiring for Decision Analytics Associate jobs? Cities near Villa Rica, GA with the most Decision Analytics Associate job openings:

Sr. Decision Analyst, Experimentation

Home Depot

Atlanta, GA • On-site

$81K - $103K/yr

Full-time

Posted 11 days ago


Home Depot rating

7.4

Company rating: 7.4 out of 10

Based on 6,417 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:
Decision Analytics associates produce insights that answer key enterprise questions around budget, priorities, courses of action, and important decisions. They develop frameworks for analysis by identifying the right metrics for consistent, effective insights that drive business outcomes. Decision Analytics associates are skilled in advanced analytics and analytical tools and languages such as GCP Big Query, Python, R, SQL, Jupyter Notebook, Adobe Analytics, and Tableau. While they may have the ability to support model development and AI/ML work, they are primarily focused on internal business insights (i.e., business intelligence). Decision Analytics associates possess the domain expertise to understand the businesses they support with their analysis.
Senior Decision Analysts assist in the development of advanced analytics to support the company's strategic objectives. The role works cross-functionally with business partners from Merchandising, Finance, Operations, Supply Chain, Online and IT to design and implement decision analytics, tools, and new visibility/reporting capabilities. This role has responsibility for creating analytics, translating business questions to actionable insights, supporting ongoing analytical needs, designing new analytical tools, and collaborating with cross- functional teams to deliver high quality analytical solutions for The Home Depot. The Senior Decision Analyst monitors transformation of data and works with appropriate technology teams to resolve issues relating to incorrect mapping, business rules, and data deviations. This role is expected to leverage effective communication skills to translate complex analyses into understandable insights for business clients, internal teams and key decision makers.
The role will be enabling scaling of AB testing platform so they must have that prior experience. Solid understanding of statistics and methodologies, familiarity with Central Limit Theorem and Hypothesis Testing is ideal (z-test, t-test, chi sq testing, ANOVA etc.,) The senior analyst will be regularly exploring new methods such as Non-Parametric Testing, bootstrap methods that elevate our platform. Explore new technical landscape in the world of Experimentation and bring it to the fold for Home Depot
Key Responsibilities:
  • 65% - Data Analytics - Analyzes large volumes of data and leverages data analytics tools to create new dashboards, reports and any additional ad-hoc requests, using a wide variety of database applications / analytical tools /languages including GCP BigQuery, SQL, SAS, R, Python, Jupyter Notebook, Adobe Analytics, and Tableau.
  • 10% - Management of Data - Collaborate with other decision analysts to explore new sources of data; cleanse, validate and test data.
  • 5% - Project Management & Support - Supports end users, solve problems and troubleshoots numerous issues.
  • 15% - Solution Development - Collaborate with stakeholders, business partners, colleagues, developers, and business analysts to deliver high quality analytics solutions.
  • 5% - Technical Exploration & Development - Develops additional technical competencies and subject matter expertise within core functional group, including but not limited to enhancements/modifications to systems and procedures.

Direct Manager/Direct Reports:
  • This position reports to the Manager
  • 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:
  • Master's degree in a quantitative field (Statistics, Analytics, Computer Science, etc.) or relevant work experience
  • Understanding of the central limit theorem and hypothesis testing.
  • 6+ years of experience in in data mining, statistical analysis, auditing, and/or forecasting
  • Demonstrated expertise on data analysis and data visualization
  • Demonstrated expertise on how to translate analysis into effective presentations
  • Demonstrated expertise utilizing data analysis to identify key insights that help solve business problems
  • Ability to apply experience in a wide variety of database applications, analytical tools and languages including SQL, SAS, Tableau, R, Python, Teradata, Oracle and similar tools
  • Working knowledge of Microsoft Excel and Power Point
  • Manage requests and roadmaps for insights for the online merchandising, marketing, and ELT organizations
  • Produce deep, statistical analysis in service of predictive insights
  • Ability to partner with requesting organizations to build KPI frameworks
  • Ability to code in Python, R, SQL, Jupyter Notebook, VertexAI and AutoML
  • Ability to visualize data using Tableau
  • Experience managing multiple projects and working in a fast-paced environment
  • Critical thinking skills to identify the strengths and weaknesses of alternative solutions; ability to understand and foresee implications of new information for current and future problems solving.
  • Strong written and verbal communications skills. Ability to persuade, inform, and influence others based on findings. A track record of taking complex results and communicating them in an easily understood way.
  • Superior interpersonal skills and ability to collaborate actively and work in a team environment.
  • Ability to quickly learn and adapt to new technologies, tools, and techniques.

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:
  • 5

Preferred Years of Work Experience:
  • 6

Minimum Leadership Experience:
  • No previous leadership experience

Preferred Leadership Experience:
  • No previous leadership experience

Certifications:
  • None

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

What Home Depot employees say

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Hours and flexibility

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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 and manufacturing

Company size

10,000+ Employees

Headquarters location

Atlanta, GA, US

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