Data Analysis Jobs in Atlanta, GA

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Looking for Data Analysis jobs in Atlanta, GA? Browse our curated listings with transparent salary information to find the perfect Data Analysis position in the Atlanta, GA area.

Director, Sales, Amazon

Company: Spanx

Location: Atlanta, GA

Posted Jan 28, 2025

SPANX, a high-growth innovative company, is seeking an experienced Amazon account manager to drive profitable sales growth. The role involves strategic planning, market analysis, relationship management, product listings, cross-functional collaboration, inventory management, reporting, promotional campaigns, and sales performance monitoring. The ideal candidate should have 10+ years of Amazon experience, strong understanding of Amazon's core business units, familiarity with AI, knowledge in the influencer space, excellent analytical skills, and proven ability to manage multiple projects. SPANX offers competitive benefits including healthcare, parental leave, mental health days, 401K matching, PTO, company holidays, and Flex Fridays.

Director of Data Engineering, Workforce

Company: JPMorganChase

Location: Atlanta, GA

Posted Jan 29, 2025

The job description outlines a Director of Data Engineering role at JPMorgan Chase. The successful candidate will lead data engineering and drive impact across HR, Employee Experience, CAO, and EP teams. Key responsibilities include delivering data pipeline solutions, leading data engineering scrum teams, making strategic decisions, and uplifting data platforms. Required qualifications include formal training in Data Engineering, hands-on experience, and proficiency in cloud providers, AI developer automation tools, and Big Data technologies. Preferred qualifications include prior banking experience. The company offers competitive total rewards, benefits, and a diverse and inclusive work environment.

Senior Data Engineer (Hybrid- Midtown- Atlanta, Georgia)

Company: Cargill

Location: Atlanta, GA

Posted Jan 29, 2025

Cargill, a global family company, is seeking a Senior Data Engineer to design, develop, and operate complex data-centric solutions. The role involves collaborating with stakeholders, developing scalable data products, providing technical support, performing data analysis, and solving moderately complex issues. Preferred qualifications include experience with modern data architectures, data collection and ingestion, data storage and management, transformation and modeling tools, Big Data environments, Cloud Platforms, streaming platforms, programming languages, engineering tooling, DevOps models, data governance, analytical skills, communication skills, systems thinking, quality mindset, curiosity, teamwork, and adaptability.

Senior Data Engineering Framework Engineer (Hybrid-Midtown- Atlanta, Georgia)

Company: Cargill

Location: Atlanta, GA

Posted Jan 29, 2025

Cargill is a global family company that aims to nourish the world in a safe, responsible, and sustainable way. The company provides essential products such as food ingredients, agricultural solutions, and industrial products, connecting farmers with markets and customers with ingredients. The Sr Data Platform Engineer role involves building and maintaining the data and analytics platform, applying knowledge of software development and infrastructure as code practices. Key responsibilities include designing, developing, testing, deploying, and enhancing complex infrastructure components, coaching junior engineers, and promoting adoption of new technologies. The ideal candidate should have a Bachelor's degree, at least four years of related experience, and expertise in cloud infrastructure management, serverless technologies, and modern data architectures.

Platform Governance Analyst - Data Engineering

Company: Cargill

Location: Atlanta, GA

Posted Jan 29, 2025

Cargill is a global family company that aims to nourish the world in a safe, responsible, and sustainable way. They provide essential products like food ingredients, agricultural solutions, and industrial products, connecting farmers with markets and customers with ingredients. The company is transforming its data platform and analytics foundation, seeking a Platform Governance Analyst for Data Engineering. The role involves designing and implementing governance and compliance frameworks, ensuring data ownership, and identifying use cases for data. The ideal candidate should have experience in data governance, project management, and working with modern data architecture tools.

AI Engineer

Company: Rev.io

Location: Atlanta, GA

Posted Jan 29, 2025

Revion provides comprehensive software solutions for various industries, including telecommunications, managed IT services, and AV security integration. The company, based in Atlanta with offices in West Virginia, has over 21 years of experience and is known for its exceptional work environment. Revion is seeking an AI Engineer to drive its AI initiatives, focusing on implementing and optimizing solutions using large language models and AI services. The role involves developing, implementing, and optimizing AI solutions, collaborating with cross-functional teams, and ensuring the security, sustainability, and maintainability of AI platforms. The ideal candidate should have a Bachelor's degree in Computer Science or a related field, 3+ years of experience with Azure OpenAI LLMs and AI solutions, and expertise in prompt engineering and large language model finetuning.

Senior Platform Engineer - Data Discovery (Hybrid- Midtown- Atlanta, Georgia)

Company: Cargill

Location: Atlanta, GA

Posted Jan 29, 2025

Cargill is seeking a Senior Platform Engineer Data Discovery Platform Engineer to build and maintain the data and analytics platform for modern business applications. The role involves applying in-depth knowledge of modern infrastructure and cloud software engineering practices to create secure and scalable systems. The engineer will also coach junior team members and collaborate with product and engineering teams to ensure data and data products are accessible and well-organized. Key responsibilities include designing and maintaining the Data Discovery Platform, partnering with teams to identify feature sets and optimizations, and staying updated on regulatory requirements. The ideal candidate will have a Bachelor's degree in Computer Science or a related field, at least four years of experience in data engineering, and proficiency in SQL, Python, and Java.

Frequently Asked Questions

What are the typical salary ranges by seniority in Data Analysis?
Entry‑level analysts earn roughly $55,000–$75,000. Mid‑level analysts command $80,000–$110,000. Senior analysts can expect $115,000–$145,000. Lead analysts often see $150,000–$180,000, while analytics managers range $160,000–$200,000. These ranges reflect current listings on the platform.
Which skills and certifications are most valuable for Data Analysts?
Core skills: SQL, Python or R, Tableau/Power BI, Excel, statistical modeling, data wrangling, and data storytelling. Certifications that boost market value include Google Data Analytics Professional Certificate, Microsoft Certified: Data Analyst Associate, Tableau Desktop Specialist, and Snowflake SnowPro Core Certification.
How common is remote work in Data Analysis roles?
Approximately 70% of listings support remote or hybrid arrangements. Remote positions typically require reliable VPN access, data‑governance compliance, and strong communication tools. Popular remote‑friendly firms include Atlassian, Salesforce, and Twilio.
What career progression paths exist for Data Analysts?
Typical paths: Data Analyst → Senior Analyst → Analytics Lead → BI Developer/Data Engineer → Data Architect → Analytics Manager → Director of Analytics. Progression relies on deepening technical expertise, obtaining advanced certifications, and developing leadership or project‑management skills.
What industry trends are shaping the future of Data Analysis?
Real‑time streaming analytics, AI‑driven insights, and cloud data platforms (Snowflake, BigQuery, Redshift) are accelerating. Sectors like healthcare, fintech, and marketing demand data analysts who can merge machine learning with storytelling and adhere to strict data‑governance standards.

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