Salary for Mid-level / Intermediate Analytics Engineer during 2022

Salary details

The average mid-level / intermediate Analytics Engineer salary lies between USD 73,880 and USD 108,000 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 Mid-level / Intermediate Analytics Engineer roles

The three most common job tag items assiciated with mid-level / intermediate Analytics Engineer job listings are SQL, Python and Engineering. 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 | 34 jobs Python | 26 jobs Engineering | 22 jobs Tableau | 19 jobs ETL | 18 jobs Snowflake | 18 jobs Power BI | 15 jobs Data Analytics | 14 jobs BigQuery | 14 jobs Pipelines | 14 jobs AWS | 13 jobs Testing | 13 jobs Agile | 13 jobs Redshift | 11 jobs Data pipelines | 11 jobs Azure | 11 jobs APIs | 11 jobs Looker | 10 jobs Airflow | 10 jobs GitHub | 10 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, Startup environment and Health care. 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 | 25 jobs Startup environment | 19 jobs Health care | 17 jobs Competitive pay | 17 jobs Flex hours | 14 jobs Team events | 12 jobs Flex vacation | 10 jobs Equity / stock options | 9 jobs Insurance | 8 jobs Parental leave | 7 jobs 401(k) matching | 6 jobs Travel | 6 jobs Yoga | 6 jobs Medical leave | 6 jobs Salary bonus | 6 jobs Gear | 2 jobs Fitness / gym | 2 jobs Lunch / meals | 1 jobs Wellness | 1 jobs Flexible spending account | 1 jobs

Salary Composition

The salary for a Mid-level/Intermediate Analytics Engineer typically comprises a base salary, performance bonuses, and additional remuneration such as stock options or benefits. The composition can vary significantly based on region, industry, and company size. In tech hubs like San Francisco or New York, the base salary might be higher due to the cost of living, while bonuses and stock options are more prevalent in tech companies and startups. In contrast, traditional industries or smaller companies might offer a lower base salary but compensate with more stable benefits or bonuses tied to company performance.

Steps to Increase Salary

To increase your salary from this position, consider the following strategies:

• Skill Enhancement: Continuously update your skills in emerging technologies and tools relevant to AI/ML and data science.
• Advanced Education: Pursue further education, such as a master's degree or specialized certifications, to enhance your qualifications.
• Networking: Engage with industry professionals through conferences, workshops, and online platforms to learn about new opportunities.
• Performance Excellence: Consistently exceed performance expectations and take on challenging projects to demonstrate your value to the organization.
• Negotiation: When discussing salary, be prepared with market research and a clear understanding of your contributions to negotiate effectively.

Educational Requirements

Most mid-level analytics engineering positions require at least a bachelor's degree in a relevant field such as computer science, data science, statistics, or engineering. 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 profile and demonstrate your expertise:

• 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) Senior Data Scientist

These certifications can validate your skills and make you more competitive in the job market.

Required Experience

Typically, a mid-level analytics engineer is expected to have 3-5 years of experience in data analysis, data engineering, or a related field. Experience with data warehousing, ETL processes, and proficiency in programming languages such as Python, R, or SQL is often required. Familiarity with machine learning frameworks and cloud platforms can also be advantageous.

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