Salary for Entry-level / Junior Analytics Engineer during 2024

Salary details

The average entry-level / junior Analytics Engineer salary lies between USD 80,000 and USD 131,000 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 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

The salary for an entry-level or junior analytics engineer in AI/ML/Data Science typically consists of a base salary, performance bonuses, and additional remuneration such as stock options or benefits. The base salary is the fixed component and usually makes up the majority of the total compensation package. Performance bonuses can vary significantly depending on the company’s policy and individual performance, often ranging from 5% to 15% of the base salary. Additional remuneration might include stock options, especially in tech companies, and benefits like health insurance, retirement contributions, and paid time off.

The composition can vary based on region, industry, and company size. For instance, tech hubs like Silicon Valley or New York City might offer higher base salaries and stock options, while companies in other regions might focus more on bonuses and benefits. Larger companies often have more structured compensation packages, while startups might offer more equity to compensate for lower base salaries.

Increasing Salary

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

• Skill Enhancement: Continuously upgrade your technical skills, especially in programming languages like Python or R, and tools like TensorFlow or PyTorch. Mastering data visualization tools and cloud platforms can also be beneficial.

• Advanced Education: Pursuing a master's degree or specialized certifications can make you more competitive and open up higher-paying roles.

• Networking: Engage with industry professionals through conferences, workshops, and online platforms like LinkedIn. Networking can lead to new opportunities and insights into higher-paying roles.

• Performance Excellence: Consistently exceed performance expectations and take on challenging projects to demonstrate your value to the organization.

• Negotiation Skills: Develop strong negotiation skills to effectively discuss salary increases during performance reviews or when offered new positions.

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 roles may accept degrees in other fields if supplemented with relevant coursework or experience in data analysis and programming. A strong foundation in mathematics and statistics is often essential, as is proficiency in programming languages commonly used in data science.

Helpful Certifications

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

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

These certifications can validate your skills and knowledge, making you a more attractive candidate for employers.

Required Experience

For entry-level positions, 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, machine learning models, and data visualization is often expected. Familiarity with industry-standard tools and platforms, such as SQL, Python, R, and cloud services, is also beneficial.

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