Analytics Engineer Salary in 2024

Salary details

The average Analytics Engineer salary lies between USD 120,000 and USD 180,000 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: Jan. 12, 2025

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 | 1701 jobs Engineering | 1524 jobs Python | 1384 jobs Pipelines | 1012 jobs dbt | 1010 jobs ETL | 773 jobs Tableau | 720 jobs Data Analytics | 713 jobs Data pipelines | 694 jobs Snowflake | 693 jobs Data quality | 688 jobs Looker | 648 jobs Computer Science | 644 jobs Airflow | 601 jobs Testing | 588 jobs AWS | 578 jobs Data warehouse | 544 jobs Architecture | 536 jobs Business Intelligence | 517 jobs Power BI | 469 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 | 1235 jobs Health care | 779 jobs Flex hours | 676 jobs Startup environment | 605 jobs Equity / stock options | 578 jobs Competitive pay | 468 jobs Flex vacation | 443 jobs Team events | 433 jobs Parental leave | 399 jobs Insurance | 317 jobs Salary bonus | 301 jobs Medical leave | 290 jobs 401(k) matching | 220 jobs Wellness | 216 jobs Home office stipend | 196 jobs Unlimited paid time off | 174 jobs Fitness / gym | 143 jobs Gear | 95 jobs Conferences | 93 jobs Transparency | 82 jobs

Salary Composition for an Analytics Engineer

The salary composition for an Analytics Engineer can vary significantly based on factors such as region, industry, and company size. Typically, the salary is divided into three main components: a fixed base salary, a performance-based bonus, and additional remuneration such as stock options or benefits.

• Fixed Base Salary: This is the guaranteed portion of the salary and usually constitutes the largest part of the total compensation package. In regions with a high cost of living, such as the San Francisco Bay Area or New York City, the base salary tends to be higher to compensate for living expenses.

• Performance-Based Bonus: Bonuses are often tied to individual performance, team performance, or company profitability. In tech companies, bonuses can range from 10% to 20% of the base salary, while in finance or consulting, they might be higher.

• Additional Remuneration: This can include stock options, especially in tech startups, which can be a significant part of the compensation package. Other benefits might include health insurance, retirement contributions, and professional development allowances.

Steps to Increase Salary from an Analytics Engineer Position

To increase your salary from an Analytics Engineer position, 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 a Ph.D. in a related field can open up higher-paying opportunities and leadership roles.

• Networking and Industry Engagement: Attend industry conferences, join professional organizations, and engage in online forums to expand your network and learn about new opportunities.

• Leadership and Management Roles: Transitioning into roles that involve team leadership or project management can lead to higher salaries.

Educational Requirements for an Analytics Engineer

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, many employers prefer candidates with a master's degree, especially for more advanced roles. Coursework in machine learning, data mining, and statistical analysis is often essential.

Helpful Certifications for an Analytics Engineer

While not always required, certain certifications can enhance your resume and demonstrate your expertise:

• Certified Analytics Professional (CAP): This certification is recognized across industries and validates your ability to transform data into valuable insights.

• Google Professional Data Engineer: This certification demonstrates your ability to design, build, and manage data processing systems on Google Cloud Platform.

• AWS Certified Machine Learning – Specialty: This certification is ideal if you are working with AWS services and want to validate your expertise in building, training, and deploying machine learning models.

Experience Required for an Analytics Engineer

Typically, employers look for candidates with 2-5 years of experience in data analysis, data engineering, or a related field. Experience with data visualization tools, SQL, and programming languages like Python or R is often required. Experience in a specific industry, such as finance, healthcare, or technology, can also be beneficial.

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