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

Proficiency in data visualization tools such as Tableau or Power BI * Programming experience in Python or R for data manipulation, scripting, and statistical analysis * Experience conducting time-and ...

Proficiency in data visualization tools such as Tableau or Power BI * Programming experience in Python or R for data manipulation, scripting, and statistical analysis * Experience conducting time-and ...

Data Network Engineer

Atlanta, GA · On-site

$110K - $132K/yr

Fabric Analytics Engineer or Azure Data Engineer Associate • Knowledge of CI/CD automation with Azure DevOps • Familiarity with data security and compliance (e.g., FIPS 199, NIST) • Experience ...

... Analytics Engineer with 2-5 years of experience in Business Intelligence, Analytics Engineering, Data Engineering, and Data Analytics . This role focuses on developing scalable analytics solutions ...

... partnering with engineering to make it happen Minimum Requirement Degree or equivalent and ... Science, Data Analytics, or a related field Critical Skills * 7+ years in analytics, business ...

... partnering with engineering to make it happen Minimum Requirement Degree or equivalent and ... Science, Data Analytics, or a related field Critical Skills * 7+ years in analytics, business ...

... partnering with engineering to make it happen Minimum Requirement Degree or equivalent and ... Science, Data Analytics, or a related field Critical Skills * 7+ years in analytics, business ...

Azure Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

Advanced Analytics/Data Scientists tools: * Must Have: Google Analytics, FireBase, RStudio Server, PyCharm * Programming Languages: * Must Have: SQL, JavaScript, * Agile tools: * Must Have: Azure ...

Showing results 41-60

Data Analytics Engineer information

See Atlanta, GA salary details

$42.8K

$124.7K

$170.7K

How much do data analytics engineer jobs pay per year?

As of Aug 11, 2026, the average yearly pay for data analytics engineer in Atlanta, GA is $124,741.00, according to ZipRecruiter salary data. Most workers in this role earn between $110,100.00 and $132,200.00 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.

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.

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 are the most commonly searched types of Data Analytics Engineer jobs in Atlanta, GA? The most popular types of Data Analytics Engineer jobs in Atlanta, GA are:
What job categories do people searching Data Analytics Engineer jobs in Atlanta, GA look for? The top searched job categories for Data Analytics Engineer jobs in Atlanta, GA are:
What cities near Atlanta, GA are hiring for Data Analytics Engineer jobs? Cities near Atlanta, GA with the most Data Analytics Engineer job openings:
Infographic showing various Data Analytics Engineer job openings in Atlanta, GA as of August 2026, with employment types broken down into 87% Full Time, and 13% Contract. Highlights an 81% In-person, 6% Hybrid, and 13% Remote job distribution, with an average salary of $124,741 per year, or $60 per hour.

Google BigQuery Analytics Architect

NAVA Software Solutions

Atlanta, GA • On-site

Full-time

This job post has expired today. Applications are no longer accepted.


Job description

NAVA Software solutions is looking for a Google BigQuery Analytics Architect
Position: Google BigQuery Analytics Architect
Location: Atlanta, GA ( Hybrid 2-3 days)
Duration: 12 months
Job description:
We are seeking a strategic and results-driven Analytics Architect to spearhead our data analytics initiatives and deliver actionable insights that drive business performance. This role requires deep expertise in Google BigQuery, GA4 (Google Analytics 4), and Looker dashboards, along with strong leadership and communication skills. The ideal candidate will manage a team of analysts, define data strategies, and ensure our analytics ecosystem is optimized for scalability and impact.
Key Responsibilities:
  1. Data Strategy Development:
    1. Define and implement the organization's data analytics strategy aligned with business goals.
    2. Identify and prioritize key analytics projects to optimize decision-making and performance.
  2. Team Leadership:
    1. Lead, mentor, and manage a team of analysts and data professionals.
    2. Foster a collaborative and innovative team environment.
  3. Data Analysis and Insights:
    1. Conduct advanced data analysis using BigQuery and other tools to uncover trends, opportunities, and potential risks.
    2. Provide actionable recommendations to stakeholders across departments.
  4. Tool and Technology Management:
    1. Oversee the selection, implementation, with a focus on GA4, BigQuery, and Looker
    2. Ensure data systems are scalable and optimized for business needs.
  5. Stakeholder Collaboration:
    1. Collaborate with cross-functional teams, including marketing, sales, operations, and product development, to address data needs.
    2. Present findings and insights in a clear and impactful manner to non-technical stakeholders.
  6. Data Governance:
    1. Establish and enforce data governance policies and practices.
    2. Ensure compliance with data security and privacy regulations.

Qualifications:
  1. Education:
    1. Bachelor's or Master's degree in Data Science, Statistics, Computer Science, Business Analytics, or a related field.
  2. Experience:
    1. Proven experience (5+ years) in analytics, business intelligence, or a related domain.
    2. Prior experience in managing or leading teams is preferred.
  3. Technical Skills:
    1. Expertise in Google BigQuery, GA4, and Looker dashboards (mandatory).
    2. Strong knowledge of SQL, Python, R, or other data analysis/programming languages.
    3. Experience with big data technologies like Hadoop, Spark, or cloud platforms (AWS, GCP, Azure).
    4. Experience with Google Tag Manager and A/B testing tools (e.g., Optimizely).
  4. Soft Skills:
    1. Excellent problem-solving and critical-thinking skills.
    2. Strong communication and interpersonal skills to interact with stakeholders at all levels.
  5. Certifications (Preferred):
    1. Google Analytics 4 Certification, Looker Certification, or Google Cloud Data Analytics Certification.

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About NAVA Software Solutions

Sourced by ZipRecruiter

NAVA is a strategic partner for companies seeking to develop or customize software and products. Our team of experts leverages cutting-edge technology and deep industry knowledge to provide customized solutions that drive business success. Whether you're looking to improve your operations, increase efficiency, or bring a new product to market, NAVA has the expertise and resources to help you achieve your goals. Trust us to be your partner in software and product development.

Industry

It services

Company size

51 - 200 Employees

Headquarters location

Rocky Hill, CT, US

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