Salary for Mid-level / Intermediate Analytics Engineer during 2024

Salary details

The average mid-level / intermediate Analytics Engineer salary lies between USD 107,765 and USD 160,800 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 Mid-level / Intermediate Analytics Engineer roles

The three most common job tag items assiciated with mid-level / intermediate 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 | 436 jobs Engineering | 381 jobs Python | 340 jobs Pipelines | 296 jobs dbt | 250 jobs ETL | 213 jobs Data Analytics | 207 jobs Data pipelines | 196 jobs Tableau | 190 jobs Data quality | 187 jobs Computer Science | 182 jobs Snowflake | 159 jobs Looker | 155 jobs Airflow | 154 jobs Architecture | 141 jobs Business Intelligence | 139 jobs Testing | 133 jobs AWS | 132 jobs Data visualization | 129 jobs BigQuery | 119 jobs

Top 20 Job Perks/Benefits for Mid-level / Intermediate Analytics Engineer roles

The three most common job benefits and perks assiciated with mid-level / intermediate 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 2024 and the number of open jobs that where offering them during that period:

Career development | 308 jobs Health care | 207 jobs Startup environment | 149 jobs Flex hours | 146 jobs Equity / stock options | 138 jobs Competitive pay | 129 jobs Team events | 109 jobs Parental leave | 103 jobs Insurance | 98 jobs Flex vacation | 97 jobs Medical leave | 86 jobs Salary bonus | 69 jobs Home office stipend | 63 jobs 401(k) matching | 57 jobs Wellness | 52 jobs Unlimited paid time off | 49 jobs Fitness / gym | 45 jobs Conferences | 41 jobs Gear | 28 jobs Relocation support | 25 jobs

Salary Composition for a Mid-level Analytics Engineer

The salary for a Mid-level Analytics Engineer typically comprises a fixed base salary, performance bonuses, and additional remuneration such as stock options or benefits. The base salary often constitutes the majority of the total compensation package, usually ranging from 70% to 85%. Performance bonuses can vary significantly depending on the company and industry, often making up 10% to 20% of the total salary. Additional remuneration, such as stock options, profit-sharing, or other benefits, can account for 5% to 10% of the total package.

Regional differences play a significant role in salary composition. For instance, tech hubs like San Francisco or New York may offer higher base salaries and stock options, while regions with a lower cost of living might offer more modest packages. Industry also influences salary composition; tech companies might offer more in stock options, whereas financial firms might provide higher cash bonuses. Company size can affect the package as well, with larger companies often providing more comprehensive benefits and smaller companies offering more equity-based compensation.

Steps to Increase Salary from This Position

To increase your salary from a Mid-level Analytics Engineer position, consider the following strategies:

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

• Advanced Education: Pursuing further education, such as a master's degree or specialized certifications, can enhance your qualifications and open up higher-paying opportunities.

• Networking and Professional Development: Engage in networking opportunities, attend industry conferences, and participate in professional organizations. Building a strong professional network can lead to new job opportunities and salary negotiations.

• Leadership and Management Skills: Developing leadership and project management skills can position you for roles with greater responsibility and higher pay, such as a team lead or managerial position.

• Performance and Negotiation: Consistently demonstrate high performance and be prepared to negotiate your salary during performance reviews or when taking on additional responsibilities.

Educational Requirements

Most Mid-level Analytics Engineer positions require at least a bachelor's degree in a relevant field such as computer science, data science, statistics, or engineering. A strong foundation in mathematics and programming is essential. Some employers may prefer candidates with a master's degree, especially for roles that involve complex data modeling or machine learning tasks.

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
• TensorFlow Developer Certificate

These certifications can validate your skills in specific tools and platforms, making you a more attractive candidate.

Required Experience

Typically, a Mid-level Analytics Engineer is expected to have 3 to 5 years of relevant experience. This experience should include hands-on work with data analysis, machine learning models, and data engineering processes. Experience with programming languages such as Python, R, or SQL, and familiarity with data visualization tools and cloud platforms, is often required.

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