Salary for Entry-level / Junior Manager during 2024
π° The median Salary for Entry-level / Junior Manager during 2024 is USD 83,203
βοΈ This salary info is based on 18 individual salaries reported during 2024
Salary details
The average entry-level / junior Manager salary lies between USD 55,000 and USD 124,805 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.
- Job title
- Manager
- Experience
- Entry-level / Junior
- Region
- global/worldwide
- Salary year
- 2024
- Sample size
- 18
- Top 10%
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- Top 25%
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- Median
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- Bottom 25%
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- Bottom 10%
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All data shown are full-time equivalent (FTE) salaries. Part-time salary information has been extrapolated to its FTE value.
Last updated:Top 20 Job Tags for Entry-level / Junior Manager roles
The three most common job tag items assiciated with entry-level / junior Manager job listings are Python, SQL 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:
Python | 147 jobs SQL | 132 jobs Engineering | 111 jobs Computer Science | 101 jobs Power BI | 86 jobs Data Analytics | 81 jobs Excel | 74 jobs R | 71 jobs Statistics | 71 jobs Data analysis | 71 jobs Machine Learning | 61 jobs Research | 61 jobs Tableau | 60 jobs Data management | 56 jobs Testing | 50 jobs Business Intelligence | 49 jobs Agile | 46 jobs Consulting | 44 jobs Finance | 44 jobs Big Data | 36 jobsTop 20 Job Perks/Benefits for Entry-level / Junior Manager roles
The three most common job benefits and perks assiciated with entry-level / junior Manager job listings are Career development, Health care and Flex hours. 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 | 158 jobs Health care | 97 jobs Flex hours | 90 jobs Startup environment | 53 jobs Team events | 48 jobs Insurance | 43 jobs Flex vacation | 38 jobs Medical leave | 35 jobs Competitive pay | 33 jobs Salary bonus | 30 jobs Equity / stock options | 29 jobs Parental leave | 27 jobs 401(k) matching | 18 jobs Wellness | 14 jobs Travel | 9 jobs Fitness / gym | 7 jobs Flexible spending account | 7 jobs Transparency | 6 jobs Relocation support | 6 jobs Fertility benefits | 5 jobsSalary Composition
The salary for an entry-level or junior manager position 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 companyβs policy and your individual performance. Additional remuneration might include stock options, especially in tech companies, or benefits like health insurance, retirement plans, and paid time off.
The composition can vary based on several factors: - Region: Salaries in tech hubs like Silicon Valley or New York City tend to be higher due to the cost of living and demand for talent. - Industry: Tech companies often offer higher salaries and more stock options compared to traditional industries. - Company Size: Larger companies might offer more comprehensive benefits and bonuses, while startups might offer equity as a significant part of the compensation.
Steps to Increase Salary
To increase your salary from an entry-level position, consider the following strategies: - Skill Enhancement: Continuously upgrade your skills in AI/ML through courses, workshops, and certifications. - Networking: Build a strong professional network to learn about new opportunities and industry trends. - Performance Excellence: Consistently exceed performance expectations to position yourself for promotions and raises. - Specialization: Develop expertise in a niche area of AI/ML that is in high demand, such as natural language processing or computer vision. - Advanced Education: Consider pursuing a master's degree or Ph.D. in a relevant field to qualify for higher-level positions.
Educational Requirements
Most entry-level positions in AI/ML/Data Science require at least a bachelor's degree in a related field such as computer science, data science, mathematics, or engineering. Some positions may prefer candidates with a master's degree, especially if the role involves more complex data analysis or machine learning model development.
Helpful Certifications
Certifications can enhance your resume and demonstrate your expertise in specific areas. Some valuable certifications include: - Google Professional Machine Learning Engineer - AWS Certified Machine Learning β Specialty - Microsoft Certified: Azure AI Engineer Associate - IBM Data Science Professional Certificate - TensorFlow Developer Certificate
These certifications can help you stand out in the job market and may lead to better job opportunities and higher salaries.
Required Experience
For an entry-level or junior manager role, employers typically look for candidates with some practical experience, which can be gained through internships, co-op programs, or project work during your studies. Experience with programming languages like Python or R, familiarity with machine learning frameworks, and hands-on experience with data analysis are often required.
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