1

Data Analytics Engineer Jobs in Georgia (NOW HIRING)

Senior People Analytics Engineer

Riverdale, GA · On-site

$94K - $129K/yr

Role Summary Rivian is seeking a passionate and data-driven Senior Analytics Engineer to join our People Systems Team. In this pivotal role, you'll be instrumental in delivering impactful insights ...

Senior People Analytics Engineer

Riverdale, GA · On-site

$94K - $129K/yr

Role Summary Rivian is seeking a passionate and data-driven Senior Analytics Engineer to join our People Systems Team. In this pivotal role, you'll be instrumental in delivering impactful insights ...

Manager, Data Analytics

Atlanta, GA · Hybrid

$111K - $145K/yr

We're hiring a Data Analytics Manager to join our Operations Team. Oscar is the first health ... Partner with engineering and data teams to find solutions to data issues within a complex system ...

Role Summary Rivian is seeking a passionate and data-driven Staff Analytics Engineer to join our People Systems Team. In this pivotal role, you'll be instrumental in delivering impactful insights ...

Senior People Analytics Engineer

Atlanta, GA · On-site

$100K - $138K/yr

Role Summary Rivian is seeking a passionate and data-driven Senior Analytics Engineer to join our People Systems Team. In this pivotal role, you'll be instrumental in delivering impactful insights ...

Role Summary Rivian is seeking a passionate and data-driven Staff Analytics Engineer to join our People Systems Team. In this pivotal role, you'll be instrumental in delivering impactful insights ...

Role Summary Rivian is seeking a passionate and data-driven Staff Analytics Engineer to join our People Systems Team. In this pivotal role, you'll be instrumental in delivering impactful insights ...

Data Analytics Analyst III { GC & US Citizen only} Location: Atlanta, Ga 30308 Duration: 6 Months ... SQL & Data Engineering * Develop advanced SQL queries across relational databases: * Azure SQL

Senior Analytics Engineer

Alpharetta, GA · On-site +1

$115K - $145K/yr

Migrate core data infrastructure from legacy systems to modern platforms, supporting the business ... engineering, BI, or analytics delivery roles * Proven experience delivering production data and ...

Migrate core data infrastructure from legacy systems to modern platforms, supporting the business ... engineering, BI, or analytics delivery roles * Proven experience delivering production data and ...

Migrate core data infrastructure from legacy systems to modern platforms, supporting the business ... engineering, BI, or analytics delivery roles * Proven experience delivering production data and ...

Manager, Data Analytics

Atlanta, GA · On-site

$111K - $145K/yr

We're hiring a Data Analytics Manager to join our Operations Team. Oscar is the first health ... Partner with engineering and data teams to find solutions to data issues within a complex system ...

Manager, Data Analytics

Atlanta, GA · Hybrid

$111K - $145K/yr

We're hiring a Data Analytics Manager to join our Operations Team. Oscar is the first health ... Partner with engineering and data teams to find solutions to data issues within a complex system ...

Showing results 21-40

Data Analytics Engineer information

See Georgia salary details

$37.6K

$109.5K

$149.9K

How much do data analytics engineer jobs pay per year?

As of Jul 24, 2026, the average yearly pay for data analytics engineer in Georgia is $109,530.00, according to ZipRecruiter salary data. Most workers in this role earn between $96,700.00 and $116,100.00 per year, depending on experience, location, and employer.

How do Data Analytics Engineers typically collaborate with data scientists and business stakeholders on projects?

Data Analytics Engineers play a crucial role in bridging the gap between raw data and actionable insights by building, optimizing, and maintaining data pipelines. They often work closely with data scientists to ensure data is clean, accessible, and structured for advanced analytics or machine learning models. Additionally, they collaborate with business stakeholders to understand reporting requirements and ensure that data solutions align with organizational objectives. Regular communication and cross-functional teamwork are essential aspects of this role, as engineers must translate business needs into technical specifications and deliver reliable data products.

Can a data engineer make 200k?

Data engineers can earn $200,000 or more annually, especially with experience, advanced skills in cloud platforms, big data tools, and certifications. Salaries vary by location, industry, and company size, with senior roles and those in high-demand markets more likely to reach or exceed this level.

What engineers make $500,000?

Senior data analytics engineers with extensive experience, advanced skills in data modeling, machine learning, and proficiency with tools like Python, SQL, and cloud platforms can reach salaries of $500,000 or more, especially in high-cost-of-living areas or within large tech companies. Achieving this level often requires a combination of technical expertise, leadership roles, and sometimes equity compensation.

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

To thrive as a Data Analytics Engineer, you need strong proficiency in data modeling, SQL, and statistical analysis, typically supported by a degree in computer science, statistics, or a related field. Familiarity with tools such as Python, R, Apache Spark, Tableau, and cloud data platforms like AWS or Google BigQuery is essential, along with relevant certifications. Excellent problem-solving, communication, and collaboration skills help you translate data insights into actionable business solutions. These skills and qualities are crucial for designing robust data pipelines and enabling data-driven decision-making across organizations.

Is 40 too late for data science?

Data Analytics Engineers and data science professionals can successfully transition into the field at age 40 or older, as skills such as programming, statistical analysis, and experience with tools like Python or SQL are valuable regardless of age. Many employers value diverse experience and lifelong learning, and certifications or online courses can help enhance credentials at any age.

What is the difference between Data Analytics Engineer vs Data Scientist?

AspectData Analytics EngineerData Scientist
CredentialsBachelor's or master's in CS, Data Science, or related fields; certifications like Google Data AnalyticsBachelor's or master's in CS, Statistics, or related fields; certifications like Certified Data Scientist
Work EnvironmentFocus on building data pipelines, dashboards, and analytics toolsFocus on statistical modeling, machine learning, and data exploration
Employer & Industry UsageUsed across tech, finance, healthcare for data infrastructure and analyticsCommon in research, product development, and advanced analytics teams

While both roles work with data, Data Analytics Engineers primarily develop data infrastructure and tools for analysis, whereas Data Scientists focus on statistical modeling and machine learning to generate insights. They often collaborate but have distinct technical focuses.

What does a data analytics engineer do?

A data analytics engineer designs, builds, and maintains data pipelines and systems to collect, process, and analyze large datasets. They use tools like SQL, Python, and cloud platforms to enable data-driven decision-making and often collaborate with data scientists and business teams to deliver actionable insights.
What are the most commonly searched types of Data Analytics Engineer jobs in Georgia? The most popular types of Data Analytics Engineer jobs in Georgia are:
What cities in Georgia are hiring for Data Analytics Engineer jobs? Cities in Georgia with the most Data Analytics Engineer job openings:
Infographic showing various Data Analytics Engineer job openings in Georgia as of July 2026, with employment types broken down into 92% Full Time, 6% Part Time, and 2% Contract. Highlights an 80% Physical, 6% Hybrid, and 14% Remote job distribution, with an average salary of $109,530 per year, or $52.7 per hour.

Senior Data & Analytics Specialist

Metabo

Braselton, GA

Full-time

Posted 18 days ago


Job description

KOKI Group is one of the world's leading manufacturers of power tools and accessories. Our group of brands includes HiKOKI, Metabo, Metabo HPT, Carat and Sankyo.
As an employer, KOKI awakens the skills that are in you. Whether you have a passion for sales, design, technology or marketing - at KOKI we offer you a variety of different areas and professions. Become part of our global team. Become a machine maker, set your impulses and start your career with us.

Job Purpose

The position acts as an important project and process liaison between global teams and regional stakeholders (USA).

Main responsibilities for this position are:

  • Consulting and requirements engineering with and for key stakeholders within USA & North America.
  • Project Management, consulting and development for global Data & Analytics projects with focus on North America
  • Close collaboration with global ERP members and partial support for ERP projects
  • Translation of processes, governance and requirements between global Competence Center Data & Analytics and North America business members
  • Development, Consulting and supporting projects within the global GCC Data & Analytics
  • Align regional requirements with global strategy

The position must be responsible and empowered to translate and ensure project governance and guidelines into North America (NA) SBU. Position will gather requirements and perform active stakeholder management within the SBU NA and also supporting global projects.


Position will be part of the Global Competence Center (GCC) and report directly into Team Leader of Data & Analytics.

Overall, the role is not purely technical but a key business-facing position, requiring strong regional presence to ensure adoption, governance, and long-term success

Responsibilities

  • Consulting: Consulting within projects and translation from business processes and expectations into clear IT as well as Data & Analytics requirement.
  • Business Process Optimization: Collaborate closely with several business stakeholders in various departments to optimize processes, enhance efficiency of data & reporting solutions.
  • Standardization: Ensure Data & Analytics standardization of reporting solutions, data platforms and governance within the KOKI group with a special focus on SBU North America
  • Customer focus: Focus and understanding of our internal customers and their processes is a key competence
  • Implementation and Optimization: Active development support within KOKI's data and reporting solution. Discover potential, and ongoing improvement of the solutions and tools for Data & Analytics across all business units.
  • Project Management: Target orientated project management of various local and global Data & Analytics projects, following KOKI IT project management guidelines and IT strategy
  • Collaboration with stakeholders: Close collaboration and engagement with business stakeholders to understand business requirements.
  • Strong and close collaboration is needed with the GCC ERP
  • Enables effective consulting, training, and adoption of modern technologies (e.g., Snowflake, Power BI, AI) within the regional business community
  • Ensures compliance with US-specific data privacy regulations and effective integration of local and external data sources
  • Acts as a key resource partnerfor local business analysts, combining deep understanding of regional requirements with detailed knowledge of the global data platform and its available data assets
  • Provides deep understanding of local business processes and ensures they are properly reflected in global data models and solutions
  • Provides direct and timelyhands-on support for local applications and business process needs.
  • Strengthens the global "follow-the-sun" support model across Japan, India (GCC), Europe, and North America
  • Aligns with the global Data & Analytics strategy to standardize reporting, improve governance, and transition from local to global solutions

Position Requirements/Qualification

  • Education: Bachelor's degree in Computer Science / Business Informatics or a related field.
  • Experience: At least 5 years of experience in the area of Data & Analytics
  • Technical Expertise:
    • In-depth knowledge of reporting and data systems, with modern data platforms, especially Snowflake and reporting solutions like Power BI. Also, well versed in SQL / Data Modeling.
    • Proven experience in extraction, transformation, harmonization and loading of data from various source systems into Data Lakehouse solutions.
    • Experience in data modelling and cloud data architecture like medallion concepts.
      Expert in the evaluation and recommendation of technical solutions. Prior experience in consulting or ERP analytics is a plus.
    • Deep understanding of programming languages like Python combined with an AI driven mindset
  • Project Management Expertise: Experienced in Project Management methodologies (Agile / Waterfall / Hybrid). Strong understanding of continuous improvement methodologies.
  • Communication: Strong communication skills with focus on clarity.
  • Multinational Team Experience: Successfully collaborate with diverse, international teams and facilitate alignment to ensure that technical outputs (like dashboards, data models, and reports) truly meet business goals.
  • Business Trips: Willingness to travel up to 10% for global engagements.
  • Risk Management: Knowledge of risk identification, assessment, and mitigation strategies within the context of business processes.
  • Team Player: A collaborative and team-oriented approach, combined with hands on mentality with the ability to work effectively with cross-functional teams and individuals at all levels of the global KOKI organization.
  • Mindset: Result-driven Mindset.
  • Language Proficiency: English, any other languages, e.g. Japanese is an advantage.

Sounds like what you are looking for?
Then we look forward to receiving your online application, via our online career portal. We look forward to meeting you soon.