Salary for Entry-level / Junior Analytics Engineer in United States during 2024

Salary details

The average entry-level / junior Analytics Engineer salary lies between USD 100,000 and USD 132,500 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

Top 20 Job Tags for Entry-level / Junior Analytics Engineer roles

The three most common job tag items assiciated with entry-level / junior Analytics Engineer job listings are SQL, Python and Engineering. 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 | 120 jobs Python | 106 jobs Engineering | 95 jobs Pipelines | 59 jobs Data Analytics | 57 jobs Computer Science | 55 jobs dbt | 49 jobs ETL | 46 jobs Data pipelines | 45 jobs AWS | 44 jobs Power BI | 40 jobs Azure | 39 jobs Machine Learning | 38 jobs GCP | 38 jobs Statistics | 34 jobs Snowflake | 33 jobs Tableau | 32 jobs BigQuery | 30 jobs Data quality | 30 jobs Business Intelligence | 27 jobs

Top 20 Job Perks/Benefits for Entry-level / Junior Analytics Engineer roles

The three most common job benefits and perks assiciated with entry-level / junior Analytics Engineer job listings are Career development, Flex hours 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 | 78 jobs Flex hours | 37 jobs Startup environment | 29 jobs Health care | 27 jobs Team events | 25 jobs Insurance | 23 jobs Equity / stock options | 22 jobs Medical leave | 18 jobs Parental leave | 17 jobs Competitive pay | 16 jobs Flex vacation | 15 jobs Salary bonus | 14 jobs 401(k) matching | 10 jobs Home office stipend | 10 jobs Wellness | 7 jobs Relocation support | 7 jobs Flexible spending account | 4 jobs Fitness / gym | 3 jobs Transparency | 3 jobs Conferences | 3 jobs

Salary Composition

In the United States, the salary composition for an entry-level or junior analytics engineer can vary significantly based on factors such as region, industry, and company size. Typically, the salary is composed of a fixed base salary, which forms the bulk of the compensation package. In tech hubs like San Francisco or New York, the base salary might be higher due to the cost of living and competitive job market.

Bonuses are another component, though they are less common at the entry-level compared to more senior positions. When offered, bonuses can be performance-based or tied to company profitability. Additional remuneration might include stock options or equity, especially in startups or tech companies, as well as benefits like health insurance, retirement plans, and professional development allowances.

Career Advancement

To increase your salary from an entry-level position, consider the following steps:

• Skill Enhancement: Continuously update your technical skills, especially in programming languages like Python or R, and tools like SQL, Tableau, or Power BI.
• Specialization: Develop expertise in a niche area of data science or machine learning, such as natural language processing or computer vision.
• Networking: Build a strong professional network through industry events, online forums, and social media platforms like LinkedIn.
• Advanced Education: Pursue further education, such as a master's degree or specialized certifications, to enhance your qualifications.
• Performance Excellence: Consistently deliver high-quality work and seek feedback to improve, which can lead to promotions and salary increases.

Educational Requirements

Most entry-level analytics engineer positions require at least a bachelor's degree in a relevant field such as computer science, data science, statistics, mathematics, or engineering. Some employers may prefer candidates with a master's degree, especially for roles that demand a deeper understanding of complex data analysis and machine learning techniques.

Helpful Certifications

While not always mandatory, certain certifications can enhance your resume and demonstrate your commitment to the field. Some valuable certifications include:

• Certified Analytics Professional (CAP)
• Google Data Analytics Professional Certificate
• Microsoft Certified: Azure Data Scientist Associate
• AWS Certified Machine Learning – Specialty
• IBM Data Science Professional Certificate

These certifications can provide you with a competitive edge and validate your skills to potential employers.

Experience Requirements

For an entry-level position, employers typically look for candidates with some practical experience, which can be gained through internships, co-op programs, or relevant projects during your academic studies. Experience with data analysis, programming, and familiarity with data visualization tools is often expected. Demonstrating a portfolio of projects or contributions to open-source projects can also be beneficial.

Related salaries

Want to contribute?