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Data Analytics Associate Jobs in Atlanta, GA (NOW HIRING)

Acuity Brands, Inc.

Senior Business Data Analyst

Atlanta, GA

$82.80K - $104.50K/yr

The Company is powered by approximately 13,000 dedicated and talented associates. Visit us at www ... Bachelor's degree - preference in Analytics, Computer Information Systems or Data Science, or ...

Acuity Brands

Senior Business Data Analyst

Atlanta, GA · On-site

$82.80K - $104.50K/yr

The Company is powered by approximately 13,000 dedicated and talented associates. Visit us at www ... Bachelor's degree - preference in Analytics, Computer Information Systems or Data Science, or ...

Acuity Brands, Inc.

Senior Business Data Analyst

Atlanta, GA · On-site

$82.80K - $104.50K/yr

The Company is powered by approximately 13,000 dedicated and talented associates. Visit us at www ... Bachelor's degree - preference in Analytics, Computer Information Systems or Data Science, or ...

Emory Healthcare

Data Analyst II

Atlanta, GA · On-site

They are seeking a Data Analyst II responsible for designing comprehensive reports, engaging in ... Required : • Bachelor's degree and 0 years of experience, or Associate's degree and 2+ years of ...

New

InterSources Inc.

Data Analyst

Atlanta, GA

Required Qualifications: · Associate''s or Bachelor''s degree in Health Information Technology ... for data querying ana report generation. · Strong analytical and problem-solving skills. · ...

Pwc

Data Strategy-Manager

Atlanta, GA · On-site

$99K - $232K/yr

... Associate - SAP Master Data Governance (MDG) - SnowPro Core / SnowPro Advanced - Databricks Certified Data Engineer / Data Analyst / ML - Proven leadership in data-driven strategies - Experience in ...

Grady Health System

Data Analyst Nursing

Atlanta, GA · On-site

SUMMARY The Data Analyst Nursing performs routine business analysis, working with various data sets ... Associate's Degree in Healthcare Administration or related field or equivalent combination of ...

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How much do data analytics associate jobs pay per month?

As of May 28, 2026, the average monthly pay for data analytics associate in Atlanta, GA is $6,049.42, according to ZipRecruiter salary data. Most workers in this role earn between $5,491.67 and $6,450.00 per month, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Data Analytics Associate, and why are they important?

To thrive as a Data Analytics Associate, you need strong analytical skills, proficiency in statistics, and a relevant degree in fields like mathematics, economics, or computer science. Familiarity with data analysis tools such as SQL, Python, Excel, and visualization platforms like Tableau is typically required. Exceptional problem-solving abilities, attention to detail, and effective communication are crucial soft skills for interpreting data and presenting findings. These skills ensure accurate data-driven insights that support informed business decisions and drive organizational success.

How does a Data Analytics Associate typically collaborate with other departments within a company?

Data Analytics Associates frequently work cross-functionally, partnering with teams such as marketing, finance, and operations. They help these departments interpret data, identify trends, and develop actionable insights that inform decision-making. Collaboration often involves attending meetings, participating in project teams, and communicating findings through reports or presentations. This close teamwork not only enhances business outcomes but also provides associates with exposure to different aspects of the organization, fostering professional growth.

What does a Data Analytics Associate do?

A Data Analytics Associate is responsible for collecting, processing, and analyzing data to help organizations make informed business decisions. They use statistical tools and data visualization techniques to identify trends, patterns, and insights from large datasets. Typically, they collaborate with different departments to interpret results, create reports, and provide actionable recommendations for process improvements or strategic planning. Their work is crucial for organizations looking to leverage data for competitive advantage.
What are the most commonly searched types of Data Analytics jobs in Atlanta, GA? The most popular types of Data Analytics jobs in Atlanta, GA are:
What cities near Atlanta, GA are hiring for Data Analytics Associate jobs? Cities near Atlanta, GA with the most Data Analytics Associate job openings:
Data Analytics Associate jobs near you
Sr. AI-ML Engineer Data Analytics

Sr. AI-ML Engineer Data Analytics

TK Elevator

Atlanta, GA • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 27 days ago

TK Elevator rating

8.2

Company rating: 8.2 out of 10

Based on 33 frontline employees who took The Breakroom Quiz

96th of 415 rated machine equipment manufacturers

Job description

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What we expect
The first 3 letters in workplace safety are Y-O-U!
TK Elevator is currently seeking a highly skilled and innovative Sr. AI-ML Engineer Data Analytics located in Atlanta, GA.
Responsible for designing, building, and operationalizing machine learning and AI solutions across the full model lifecycle-from data preparation and feature engineering through deployment and production monitoring. The Sr. AI/ML Engineer must combine deep hands-on ML expertise with strong engineering discipline to translate complex business problems into reliable, scalable AI systems that deliver measurable value across the manufacturing enterprise.
ESSENTIAL JOB FUCTIONS:
  • Design and implement end-to-end ML pipelines covering data ingestion, feature engineering, model training, evaluation, deployment, and monitoring.
  • Lead AI/ML use-case development-problem framing, data exploration, algorithm selection, experimentation, and productionization-for manufacturing and enterprise applications.
  • Apply supervised, unsupervised, and generative AI techniques including NLP, computer vision, time-series forecasting, and LLM-based applications to business use cases.
  • Design and maintain MLOps infrastructure including model registries, CI/CD pipelines, experiment tracking, and deployment automation on cloud platforms (Azure, AWS, or GCP).
  • Establish model monitoring, drift detection, alerting, and retraining triggers to maintain accuracy and reliability in production.
  • Build data preparation and transformation pipelines for ML workflows, ensuring quality, consistency, and reproducibility across training and inference environments.
  • Partner with the Data Governance Office and business data owners to ensure training datasets comply with lineage, privacy, and regulatory requirements.
  • Provide technical guidance and peer review across AI/ML initiatives; mentor junior engineers and data scientists on engineering best practices and production-readiness.
  • Collaborate with business and IT stakeholders to translate use case requirements into technical specifications and communicate model results in accessible terms.
  • Evaluate emerging AI/ML frameworks and tools; recommend adoption paths that advance the team's modeling and operational maturity.

Who we are looking for
EDUCATION & EXPERIENCE:
  • Bachelor's degree in Computer Science, Data Science, Statistics, Electrical Engineering, or a related field; Master's or PhD preferred. Or equivalent work experience.
  • 6+ years of hands-on ML engineering or data science experience, with at least 2 years focused on production ML systems in enterprise environments.
  • Proven expertise deploying models on cloud ML platforms (Azure Machine Learning, Databricks ML, AWS SageMaker, or equivalent); proficiency in Python and key ML libraries (scikit-learn, PyTorch, TensorFlow, XGBoost, or similar).
  • Strong MLOps experience: experiment tracking, model registries, automated retraining, containerization (Docker, Kubernetes), and CI/CD for ML.
  • Experience with feature engineering, data pipeline development (Spark, dbt, Azure Data Factory, Databricks), and responsible AI principles including explainability and bias mitigation.
  • Familiarity with data privacy and compliance frameworks (GDPR, SOX) as they apply to ML training data and model outputs.
  • Strong communication skills; ability to explain model behavior and trade-offs to both technical and non-technical audiences.

ACCOUNTABILITES:
  • Perform functional and non-functional requirements analysis for ML use cases and translate findings into solution designs.
  • Maintain high availability and reliability of deployed models and ML pipelines through defined monitoring and operational standards.
  • Timely resolution of model performance issues, pipeline failures, and production incidents.
  • Accurate and timely delivery of assigned ML development components within program plans.
  • Experience with LLMs, prompt engineering, retrieval-augmented generation (RAG), and generative AI frameworks (LangChain, Azure OpenAI, or equivalent), preferred.
  • Experience applying ML to manufacturing or IoT use cases: predictive maintenance, demand forecasting, quality control, or operational optimization, preferred.
  • AI/ML certifications: Azure AI Engineer Associate, Databricks Certified ML Professional, AWS ML Specialty, or Google Professional ML Engineer, preferred.

What we offer
Provided they meet all eligibility requirement under the applicable plan documents, employees will be offered
  • Medical, dental, and vision coverage
  • Flexible spending accounts (FSA)
  • Health savings account (HSA)
  • Supplemental medical plans
  • Company-paid short- and long-term disability insurance
  • Company-paid basic life insurance and AD&D
  • Optional life and AD&D coverage
  • Optional spouse and dependent life insurance
  • Identity theft monitoring
  • Pet insurance
  • Company-paid Employee Assistance Program (EAP)
  • Tuition reimbursement
  • 401(k) Retirement Savings Plan with company match: Employees can contribute a portion of their pay on a pre-tax or Roth basis. The company provides a dollar-for-dollar match on the first 5% contributed.

Additional benefits include:
  • 15 days of vacation per year
  • 11 paid holidays each calendar year (10 fixed, 1 floating)
  • Paid sick leave, per company policy
  • Up to six weeks of paid parental leave (available after successful completion of 90 days of full-time employment)

Eligibility requirements for these benefits will be controlled by applicable plan documents. This is intended to provide a general description of benefits and other compensation and is not a substitute for applicable plan documents or company policies.
Additional information
TK Elevator is an equal opportunity employer and committed to diversity. Qualified applicants will receive consideration for employment without regard to age, gender, race, color, religion, sexual orientation, gender identity, national origin, disability, and veteran status or any other protected status required by applicable law.
Applicants with disabilities who require reasonable accommodation in connection with the application process are encouraged to email us directly at ElevatorJobs.ams@tkelevator.com or call 1-844-427-5461.
Contact
To apply to a position, please click on the Apply Now button.
For any additional questions or job specific requests, please use the contact
below and include the Job Requisition Number as a reference.
Elevatorjobs.AMS@tkelevator.com
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