Analytics Engineer Salary in United States during 2024

Salary details

The average Analytics Engineer salary lies between USD 122,000 and USD 180,000 in the United States. It represents the overall compensation/gross salary amount for the working year (before deductions like social security, taxes and other contributions), not including equity/stock options or similar benefits.

Region represents the primary country of residence of an employee during the year (or residence for tax purposes). All data shown are full-time equivalent (FTE) salaries. Part-time salary information has been extrapolated to its FTE value.

Last updated: Nov. 24, 2024

Salary trend

Top 20 Job Tags for Analytics Engineer roles

The three most common job tag items assiciated with Analytics Engineer job listings are SQL, Engineering and Python. Below you find a list of the 20 most occuring job tags in 2024 and the number of open jobs that where associated with them during that period:

SQL | 1570 jobs Engineering | 1405 jobs Python | 1280 jobs Pipelines | 931 jobs dbt | 929 jobs ETL | 717 jobs Data Analytics | 666 jobs Tableau | 663 jobs Data quality | 640 jobs Data pipelines | 634 jobs Snowflake | 634 jobs Computer Science | 604 jobs Looker | 603 jobs Airflow | 556 jobs AWS | 538 jobs Testing | 537 jobs Data warehouse | 500 jobs Architecture | 498 jobs Business Intelligence | 467 jobs BigQuery | 433 jobs

Top 20 Job Perks/Benefits for Analytics Engineer roles

The three most common job benefits and perks assiciated with Analytics Engineer job listings are Career development, Health care and Flex hours. Below you find a list of the 20 most occuring job perks or benefits in 2024 and the number of open jobs that where offering them during that period:

Career development | 1150 jobs Health care | 721 jobs Flex hours | 625 jobs Startup environment | 569 jobs Equity / stock options | 532 jobs Competitive pay | 443 jobs Flex vacation | 409 jobs Team events | 399 jobs Parental leave | 373 jobs Insurance | 297 jobs Salary bonus | 280 jobs Medical leave | 269 jobs 401(k) matching | 203 jobs Wellness | 203 jobs Home office stipend | 188 jobs Unlimited paid time off | 167 jobs Fitness / gym | 137 jobs Gear | 92 jobs Conferences | 87 jobs Transparency | 81 jobs

Salary Composition for an Analytics Engineer

The salary composition for an Analytics Engineer in the United States typically includes a base salary, performance bonuses, and additional remuneration such as stock options or equity, especially in tech companies. The base salary often constitutes the majority of the total compensation package, ranging from 70% to 85%. Performance bonuses can vary significantly depending on the company and industry, usually accounting for 10% to 20% of the total compensation. Additional remuneration, such as stock options, is more common in larger tech companies and startups, potentially making up 5% to 15% of the total package.

Regional differences also play a role; for instance, salaries in tech hubs like San Francisco or New York City tend to be higher due to the cost of living and competitive job markets. Industry-wise, tech and finance sectors often offer higher compensation compared to healthcare or manufacturing. Company size can also influence salary composition, with larger companies typically offering more comprehensive benefits and stock options.

Steps to Increase Salary from This Position

To increase your salary further from the position of an Analytics Engineer, consider the following strategies:

• Skill Enhancement: Continuously update your skills in emerging technologies and tools relevant to AI/ML and data science. Specializing in niche areas like deep learning or natural language processing can make you more valuable.

• Advanced Education: Pursuing a master's degree or Ph.D. in data science, computer science, or a related field can open up higher-paying opportunities.

• Leadership Roles: Transitioning into managerial or leadership roles, such as a Data Science Manager or Director of Analytics, can significantly increase your earning potential.

• Networking and Industry Engagement: Actively participate in industry conferences, workshops, and networking events to increase your visibility and open up new opportunities.

• Negotiation Skills: Improve your negotiation skills to better advocate for higher pay during performance reviews or when switching jobs.

Educational Requirements

Most Analytics Engineer positions require at least a bachelor's degree in a relevant field such as computer science, data science, statistics, or engineering. However, a master's degree is often preferred and can be a significant advantage in competitive job markets. Coursework in machine learning, data analysis, and programming is particularly beneficial.

Helpful Certifications

While not always mandatory, certain certifications can enhance your credentials and demonstrate your expertise to potential employers. Some valuable certifications include:

• Certified Analytics Professional (CAP)
• Google Professional Data Engineer
• Microsoft Certified: Azure Data Scientist Associate
• AWS Certified Machine Learning – Specialty

These certifications can validate your skills and knowledge, making you a more attractive candidate for higher-paying roles.

Experience Requirements

Typically, an Analytics Engineer role requires 3 to 5 years of experience in data analysis, data engineering, or a related field. Experience with data modeling, ETL processes, and proficiency in programming languages such as Python or R is often expected. Familiarity with data visualization tools and cloud platforms can also be advantageous.

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