Analytics Engineer Salary in United States during 2022

Salary details

The average Analytics Engineer salary lies between USD 120,000 and USD 190,000 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 2022 and the number of open jobs that where associated with them during that period:

SQL | 306 jobs Engineering | 287 jobs Python | 258 jobs Pipelines | 177 jobs Looker | 150 jobs Tableau | 141 jobs ETL | 140 jobs Snowflake | 136 jobs Data Analytics | 128 jobs Data pipelines | 118 jobs Testing | 115 jobs Airflow | 109 jobs AWS | 105 jobs BigQuery | 96 jobs Agile | 91 jobs Redshift | 89 jobs Business Intelligence | 84 jobs Git | 82 jobs Computer Science | 81 jobs Data warehouse | 79 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 Startup environment. Below you find a list of the 20 most occuring job perks or benefits in 2022 and the number of open jobs that where offering them during that period:

Career development | 225 jobs Health care | 155 jobs Startup environment | 148 jobs Flex vacation | 124 jobs Flex hours | 120 jobs Team events | 106 jobs Equity / stock options | 93 jobs Competitive pay | 88 jobs Parental leave | 79 jobs Salary bonus | 62 jobs Medical leave | 57 jobs Insurance | 51 jobs 401(k) matching | 48 jobs Home office stipend | 48 jobs Unlimited paid time off | 39 jobs Wellness | 34 jobs Fitness / gym | 22 jobs Gear | 16 jobs Conferences | 13 jobs Yoga | 12 jobs

Salary Composition for an Analytics Engineer

The salary for an Analytics Engineer in the United States typically comprises a base salary, bonuses, and additional remuneration such as stock options or benefits. The base salary is the fixed component and usually forms the largest part of the total compensation package. Bonuses can vary significantly depending on the company's performance, individual performance, and industry standards. In tech-heavy regions like Silicon Valley, stock options or equity can also be a significant part of the compensation, especially in startups or tech companies. Larger companies might offer more comprehensive benefits packages, including health insurance, retirement plans, and other perks, which can add substantial value to the overall compensation.

Steps to Increase Salary

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

• Skill Enhancement: Continuously update your skills in the latest AI/ML technologies and tools. Specializing in a niche area can make you more valuable.
• Advanced Education: Pursuing a master's degree or a Ph.D. in a related field can open up higher-paying opportunities.
• Networking: Building a strong professional network can lead to opportunities in higher-paying companies or roles.
• Performance and Negotiation: Consistently perform well and be prepared to negotiate your salary during performance reviews or when offered a new position.
• Certifications: Obtaining relevant certifications can demonstrate your expertise and commitment to the field, potentially leading to salary increases.

Educational Requirements

Most Analytics Engineer positions require at least a bachelor's degree in a related field such as Computer Science, Data Science, Statistics, or Engineering. A master's degree can be advantageous and is often preferred by employers, especially for more senior roles. Some positions may also require coursework or experience in machine learning, data analysis, and programming languages like Python or R.

Helpful Certifications

While not always required, certain certifications can enhance your qualifications and make you more competitive in the job market. Some valuable certifications include:

• Certified Analytics Professional (CAP)
• Google Professional Data Engineer
• Microsoft Certified: Azure Data Scientist Associate
• AWS Certified Machine Learning – Specialty
• Data Science Council of America (DASCA) Certifications

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 2-5 years of experience in data analysis, data engineering, or a related field. Experience with data warehousing, ETL processes, and working with large datasets is often essential. Familiarity with cloud platforms, data visualization tools, and machine learning frameworks can also be beneficial.

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