Salary for Entry-level / Junior Analytics Engineer during 2023

Salary details

The average entry-level / junior Analytics Engineer salary lies between USD 43,000 and USD 119,200 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: Dec. 22, 2024

Salary trend

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 Python, SQL and Engineering. Below you find a list of the 20 most occuring job tags in 2023 and the number of open jobs that where associated with them during that period:

Python | 53 jobs SQL | 53 jobs Engineering | 45 jobs Data Analytics | 35 jobs ETL | 33 jobs Pipelines | 30 jobs Computer Science | 29 jobs Mathematics | 21 jobs Airflow | 20 jobs Statistics | 20 jobs Data pipelines | 19 jobs Snowflake | 19 jobs Data analysis | 19 jobs Data quality | 19 jobs Tableau | 16 jobs dbt | 16 jobs AWS | 15 jobs BigQuery | 14 jobs Testing | 14 jobs PySpark | 13 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, Team events and Startup environment. Below you find a list of the 20 most occuring job perks or benefits in 2023 and the number of open jobs that where offering them during that period:

Career development | 39 jobs Team events | 20 jobs Startup environment | 19 jobs Health care | 15 jobs Flex hours | 14 jobs Salary bonus | 12 jobs Competitive pay | 10 jobs Insurance | 10 jobs Home office stipend | 10 jobs Equity / stock options | 8 jobs Flex vacation | 7 jobs Parental leave | 6 jobs Fitness / gym | 5 jobs Gear | 4 jobs Yoga | 4 jobs Unlimited paid time off | 4 jobs Relocation support | 3 jobs Wellness | 2 jobs Travel | 2 jobs Transparency | 1 jobs

Salary Composition

The salary for an entry-level or junior analytics engineer typically consists of a base salary, which is the fixed component, and may include additional remuneration such as bonuses or stock options. The composition can vary significantly depending on the 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 common in larger tech companies or startups. In contrast, companies in regions with a lower cost of living might offer a lower base salary but could compensate with other benefits like flexible working hours or additional training opportunities. Industries such as finance or healthcare might offer higher bonuses compared to non-profit sectors.

Steps to Increase Salary

To increase your salary from an entry-level position, consider gaining specialized skills or certifications that are in high demand. Pursuing further education, such as a master's degree in data science or a related field, can also be beneficial. Networking within the industry and seeking mentorship can provide insights into career advancement opportunities. Additionally, gaining experience in high-impact projects or taking on leadership roles within your team can demonstrate your value to the organization, potentially leading to promotions or 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, or engineering. Some roles may accept candidates with degrees in other quantitative fields if they have relevant skills or experience. A strong foundation in mathematics and programming is often essential, as these are critical components of the role.

Helpful Certifications

Certifications can enhance your resume and demonstrate your commitment to the field. Some valuable certifications include:

• Google Data Analytics Professional Certificate
• Microsoft Certified: Azure Data Scientist Associate
• IBM Data Science Professional Certificate
• Certified Analytics Professional (CAP)

These certifications can provide you with a competitive edge and help you stay updated with the latest tools and technologies in the industry.

Required Experience

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 studies. Experience with data analysis tools such as Python, R, SQL, or data visualization software like Tableau or Power BI is often required. Familiarity with machine learning frameworks and cloud platforms can also be advantageous.

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