Salary for Mid-level / Intermediate Data Analytics Manager during 2024
💰 The median Salary for Mid-level / Intermediate Data Analytics Manager during 2024 is USD 128,300
✏️ This salary info is based on 66 individual salaries reported during 2024
Salary details
The average mid-level / intermediate Data Analytics Manager salary lies between USD 93,000 and USD 165,000 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.
- Job title
- Data Analytics Manager
- Experience
- Mid-level / Intermediate
- Region
- global/worldwide
- Salary year
- 2024
- Sample size
- 66
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- Median
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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:Salary trend
Top 20 Job Tags for Mid-level / Intermediate Data Analytics Manager roles
The three most common job tag items assiciated with mid-level / intermediate Data Analytics Manager job listings are Data Analytics, SQL and Python. 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:
Data Analytics | 151 jobs SQL | 100 jobs Python | 73 jobs Tableau | 71 jobs Power BI | 69 jobs Statistics | 67 jobs Engineering | 66 jobs Data analysis | 59 jobs R | 57 jobs Excel | 53 jobs Computer Science | 45 jobs Data visualization | 36 jobs Finance | 35 jobs Mathematics | 30 jobs Business Intelligence | 27 jobs Data quality | 27 jobs Research | 25 jobs Agile | 25 jobs Data management | 24 jobs ETL | 22 jobsTop 20 Job Perks/Benefits for Mid-level / Intermediate Data Analytics Manager roles
The three most common job benefits and perks assiciated with mid-level / intermediate Data Analytics 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 | 79 jobs Health care | 49 jobs Flex hours | 42 jobs Equity / stock options | 32 jobs Competitive pay | 28 jobs Startup environment | 27 jobs Insurance | 24 jobs Team events | 21 jobs Flex vacation | 17 jobs Medical leave | 17 jobs Salary bonus | 15 jobs Parental leave | 13 jobs Wellness | 13 jobs 401(k) matching | 11 jobs Unlimited paid time off | 8 jobs Fitness / gym | 5 jobs Gear | 2 jobs Transparency | 2 jobs Home office stipend | 2 jobs Travel | 1 jobsSalary Composition
The salary for a Mid-level/Intermediate Data Analytics Manager typically comprises a base salary, performance bonuses, and additional remuneration such as stock options or benefits. The base salary is the fixed component and usually constitutes the majority of the total compensation package. Performance bonuses can vary significantly depending on the company's performance and individual achievements. Additional remuneration might include stock options, especially in tech companies, or benefits like health insurance, retirement plans, and paid time off.
Regional differences can affect salary composition, with tech hubs like Silicon Valley offering higher base salaries and stock options, while other regions might offer more in bonuses. Industry also plays a role; for instance, finance and tech industries often provide higher bonuses compared to non-profit sectors. Company size can influence the package as well, with larger companies typically offering more comprehensive benefits and stock options.
Next Steps for Salary Increase
To increase your salary from this position, consider pursuing advanced roles such as Senior Data Analytics Manager or Director of Data Analytics. This often requires demonstrating leadership skills, managing larger teams, and taking on more strategic responsibilities. Additionally, specializing in high-demand areas like machine learning, artificial intelligence, or big data analytics can make you more valuable. Networking within the industry and seeking opportunities in high-paying sectors like finance or tech can also lead to salary increases. Continuous learning and staying updated with the latest tools and technologies in data analytics will further enhance your value.
Educational Requirements
Most Mid-level/Intermediate Data Analytics Manager positions require at least a bachelor's degree in a related field such as Data Science, Computer Science, Statistics, or Mathematics. However, a master's degree or even a Ph.D. can be advantageous and sometimes preferred, especially in competitive markets or for roles with a strong emphasis on advanced analytics and machine learning. Business administration degrees with a focus on analytics can also be beneficial, particularly for roles that require a blend of technical and managerial skills.
Helpful Certifications
Certifications can bolster your credentials and demonstrate expertise in specific areas. Some valuable certifications include:
- Certified Analytics Professional (CAP)
- Microsoft Certified: Azure Data Scientist Associate
- Google Professional Data Engineer
- SAS Certified Data Scientist
- AWS Certified Machine Learning – Specialty
These certifications can help validate your skills and knowledge, making you a more attractive candidate for higher-level positions.
Required Experience
Typically, a Mid-level/Intermediate Data Analytics Manager is expected to have 5-7 years of experience in data analytics or a related field. This experience should include hands-on work with data analysis, statistical modeling, and data visualization tools. Experience in managing projects and leading teams is also crucial, as the role involves overseeing analytics initiatives and coordinating with various stakeholders. Familiarity with industry-specific data challenges and solutions can be a significant advantage.
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