Data Analyst
$80,000
avg. annual salary
Cloud Engineer
pays more on average
Cloud Engineer
$80,821
avg. annual salary
As the tech industry continues to evolve, the roles of Data Analysts and Cloud Engineers have become pivotal in driving business decisions and optimizing cloud operations. Understanding the salary landscape for these two professions is essential for aspiring tech professionals and employers alike. This guide breaks down the average salaries, benefits, and career progression options for both Data Analysts and Cloud Engineers. By comprehensively examining these roles, you'll be better equipped to make informed career choices or hire the right talent for your organization. Whether you're interested in working with data or focusing on cloud infrastructure, knowing the financial aspects and growth opportunities can help you navigate your career path effectively.
Salary by Experience Level
starting salary
starting salary
avg. difference (1%)
Average Salary Overview
As of 2025, Data Analysts earn an average salary of $85,000, while Cloud Engineers make around $120,000 annually. This shows a significant salary disparity, often attributed to the specialized skills required for cloud engineering.
Both roles feature a wide salary range depending on experience, location, and skill set. For example, entry-level Data Analysts can start around $60,000, whereas entry-level Cloud Engineers may begin at $90,000.
Salary by Experience Level
For Data Analysts, salaries typically scale as follows:
- •Entry Level: $60,000 - $75,000
- •Mid Level: $80,000 - $95,000
- •Senior Level: $100,000 - $120,000
In comparison, Cloud Engineers can expect the following:
- •Entry Level: $90,000 - $105,000
- •Mid Level: $110,000 - $130,000
- •Senior Level: $140,000 - $160,000
This structured salary growth underscores the higher demand and specialized skills required for Cloud Engineers.
Benefits and Perks
Compensation is not limited to salary; benefits significantly affect job satisfaction and overall earnings. Data Analysts typically enjoy benefits like health insurance, retirement plans, and work-from-home options.
Cloud Engineers also receive similar benefits but often have additional perks such as education reimbursement, cloud service certifications, and opportunities for international travel, reflecting the broader scope of their work.
Career Paths
Data Analysts often advance to roles such as Data Scientist, Business Intelligence Analyst, or Data Engineer. With the focus on data interpretation and analytics, these positions leverage their analytical skills, with opportunities to specialize further.
On the other hand, Cloud Engineers may progress to Cloud Architect, DevOps Engineer, or IT Manager roles. These positions require advanced technical skills and knowledge of cloud services, providing robust career growth opportunities.
Final Thoughts
In conclusion, the choice between becoming a Data Analyst or a Cloud Engineer depends on various factors including salary expectations, career aspirations, and personal interests. If you're passionate about data and analytics, a career as a Data Analyst may be fulfilling.
Alternatively, if you’re interested in cloud technologies and architecture, pursuing a career as a Cloud Engineer could be the right path. Each career offers unique rewards, and understanding the salaries and growth opportunities will help you make a more informed decision.
Detailed Comparison
Data Analyst vs Cloud Engineer: salary and role breakdown
- •Salary ranges (US, 2025 estimates):
- •Data Analyst: entry $55k–$70k, mid $75k–$95k, senior $100k–$130k.
- •Cloud Engineer: entry $85k–$110k, mid $115k–$145k, senior $150k–$200k+.
- •Typical skills that move pay: SQL, Python, Tableau for analysts; AWS/GCP, Terraform, Kubernetes for cloud engineers. Earning an AWS Certified Solutions Architect or holding a Google Cloud Professional cert can add roughly $8k–$20k to base pay.
- •Real projects and pay impact: a data analyst who builds an automated KPI dashboard can save 10–20 hours/week and justify a $5k–$10k raise; a cloud engineer who migrates services to Kubernetes can reduce infra costs 15–30% and command higher pay.
Actionable takeaways:
- •Choose analysts for insight-driven work and quicker entry; expect slower top-end growth.
- •Choose cloud engineering for higher mid/senior pay but invest in platform certifications and Linux/DevOps experience.