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Analytics owns end-to-end data and analytics work that directly drives impact for Anduril's product quality engineers on the factory floor. Our customers are program quality leaders, manufacturing ...
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... analytical solutions ... Supporting data engineering activities, including data pipelines, ETL/ELT processes, data ...
New
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... analytical solutions ... Supporting data engineering activities, including data pipelines, ETL/ELT processes, data ...
New
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Data Analytics Engineer information
See Atlanta, GA salary details
$42.8K - $54.4K
0% of jobs
$54.4K - $66K
1% of jobs
$66K - $77.7K
3% of jobs
$77.7K - $89.3K
4% of jobs
$89.3K - $100.9K
7% of jobs
$111.1K is the 25th percentile. Wages below this are outliers.
$100.9K - $112.6K
11% of jobs
$112.6K - $124.2K
12% of jobs
The median wage is $127.3K / yr.
$124.2K - $135.8K
45% of jobs
$135.8K - $147.4K
8% of jobs
$147.4K - $159.1K
5% of jobs
$159.1K - $170.7K
3% of jobs
$42.8K
$124.7K
$170.7K
How much do data analytics engineer jobs pay per year?
How do data analytics engineers typically collaborate with data scientists and business stakeholders on projects?
What are the key skills and qualifications needed to thrive as a data analytics engineer, and why are they important?
What is the difference between Data Analytics Engineer vs Data Scientist?
| Aspect | Data Analytics Engineer | Data Scientist |
|---|---|---|
| Credentials | Bachelor's or master's in CS, Data Science, or related fields; certifications like Google Data Analytics | Bachelor's or master's in CS, Statistics, or related fields; certifications like Certified Data Scientist |
| Work Environment | Focus on building data pipelines, dashboards, and analytics tools | Focus on statistical modeling, machine learning, and data exploration |
| Employer & Industry Usage | Used across tech, finance, healthcare for data infrastructure and analytics | Common 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.

Full-time
This job post has expired today. Applications are no longer accepted.
Job description
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:
- Data Strategy Development:
- Define and implement the organization's data analytics strategy aligned with business goals.
- Identify and prioritize key analytics projects to optimize decision-making and performance.
- Team Leadership:
- Lead, mentor, and manage a team of analysts and data professionals.
- Foster a collaborative and innovative team environment.
- Data Analysis and Insights:
- Conduct advanced data analysis using BigQuery and other tools to uncover trends, opportunities, and potential risks.
- Provide actionable recommendations to stakeholders across departments.
- Tool and Technology Management:
- Oversee the selection, implementation, with a focus on GA4, BigQuery, and Looker
- Ensure data systems are scalable and optimized for business needs.
- Stakeholder Collaboration:
- Collaborate with cross-functional teams, including marketing, sales, operations, and product development, to address data needs.
- Present findings and insights in a clear and impactful manner to non-technical stakeholders.
- Data Governance:
- Establish and enforce data governance policies and practices.
- Ensure compliance with data security and privacy regulations.
Qualifications:
- Education:
- Bachelor's or Master's degree in Data Science, Statistics, Computer Science, Business Analytics, or a related field.
- Experience:
- Proven experience (5+ years) in analytics, business intelligence, or a related domain.
- Prior experience in managing or leading teams is preferred.
- Technical Skills:
- Expertise in Google BigQuery, GA4, and Looker dashboards (mandatory).
- Strong knowledge of SQL, Python, R, or other data analysis/programming languages.
- Experience with big data technologies like Hadoop, Spark, or cloud platforms (AWS, GCP, Azure).
- Experience with Google Tag Manager and A/B testing tools (e.g., Optimizely).
- Soft Skills:
- Excellent problem-solving and critical-thinking skills.
- Strong communication and interpersonal skills to interact with stakeholders at all levels.
- Certifications (Preferred):
- Google Analytics 4 Certification, Looker Certification, or Google Cloud Data Analytics Certification.
About NAVA Software Solutions
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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