Analytics Engineer Salary in 2022

Salary details

The average Analytics Engineer salary lies between USD 103,432 and USD 175,000 globally. 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.

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

The salary for an Analytics Engineer in AI/ML/Data Science typically comprises a base salary, performance 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. Performance bonuses can vary significantly depending on the company's success and individual performance, often ranging from 10% to 20% of the base salary. Additional remuneration might include stock options, especially in tech companies, or other benefits like health insurance, retirement plans, and professional development funds.

Regional differences can also impact salary composition. For instance, positions in tech hubs like Silicon Valley or New York City might offer higher base salaries and more substantial stock options compared to other regions. Industry and company size also play a role; larger tech companies or those in high-demand sectors may offer more competitive compensation packages.

Increasing 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 high-demand areas like deep learning, natural language processing, or big data analytics can make you more valuable.

• Advanced Education: Pursuing a master's degree or Ph.D. in a relevant field can open up higher-paying opportunities and leadership roles.

• Networking: Building a strong professional network can lead to new job opportunities and insights into industry trends.

• Certifications: Obtaining relevant certifications can demonstrate your expertise and commitment to professional growth, potentially leading to salary increases.

• Negotiation: When offered a new position or during performance reviews, negotiate for higher pay based on your skills, experience, and market research.

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 strong foundation in mathematics and programming is essential. Many employers prefer candidates with a master's degree or higher, especially for more advanced roles. Coursework in machine learning, data mining, and statistical analysis is highly beneficial.

Helpful Certifications

While not always mandatory, 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

These certifications validate your skills and knowledge in specific areas of data science and analytics, making you a more attractive candidate to employers.

Required Experience

Typically, an Analytics Engineer role requires 2-5 years of experience in data analysis, engineering, or a related field. Experience with data modeling, ETL processes, and working with large datasets is often necessary. Familiarity with programming languages such as Python, R, or SQL, and experience with data visualization tools like Tableau or Power BI, are also commonly required.

Related salaries

Want to contribute?