Data Analytics Manager Salary in 2022
💰 The median Data Analytics Manager Salary in 2022 is USD 140,000
✏️ This salary info is based on 7 individual salaries reported during 2022
Salary details
The average Data Analytics Manager salary lies between USD 109,280 and USD 150,260 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
- all levels
- Region
- global/worldwide
- Salary year
- 2022
- Sample size
- 7
- 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:Salary trend
Top 20 Job Tags for Data Analytics Manager roles
The three most common job tag items assiciated with Data Analytics Manager job listings are Data Analytics, SQL and Python. Below you find a list of the 20 most occuring job tags in 2022 and the number of open jobs that where associated with them during that period:
Data Analytics | 49 jobs SQL | 33 jobs Python | 27 jobs Tableau | 26 jobs Engineering | 18 jobs R | 17 jobs Looker | 14 jobs Data analysis | 13 jobs Testing | 12 jobs KPIs | 12 jobs Statistics | 12 jobs Finance | 11 jobs Power BI | 11 jobs Excel | 11 jobs Computer Science | 11 jobs Security | 10 jobs Research | 9 jobs Business Intelligence | 9 jobs Data visualization | 9 jobs Machine Learning | 8 jobsTop 20 Job Perks/Benefits for Data Analytics Manager roles
The three most common job benefits and perks assiciated with Data Analytics Manager job listings are Career development, Startup environment and Health care. Below you find a list of the 20 most occuring job perks or benefits in 2022 and the number of open jobs that where offering them during that period:
Career development | 35 jobs Startup environment | 22 jobs Health care | 18 jobs Flex hours | 17 jobs Team events | 15 jobs Flex vacation | 13 jobs Equity / stock options | 11 jobs Parental leave | 11 jobs Competitive pay | 11 jobs Wellness | 7 jobs Medical leave | 7 jobs Salary bonus | 7 jobs Insurance | 4 jobs 401(k) matching | 3 jobs Gear | 3 jobs Relocation support | 3 jobs Conferences | 2 jobs Home office stipend | 2 jobs Fertility benefits | 2 jobs Flat hierarchy | 1 jobsSalary Composition
The salary for a Data Analytics Manager in AI/ML/Data Science typically comprises a base salary, performance bonuses, and additional remuneration such as stock options or benefits. The composition can vary significantly based on region, industry, and company size. In tech hubs like Silicon Valley, the base salary might be higher, but bonuses and stock options can also form a substantial part of the total compensation package. In contrast, companies in smaller markets or industries like healthcare or finance might offer a lower base salary but compensate with higher bonuses or benefits. Larger companies often provide more comprehensive benefits and stock options, while smaller startups might offer equity as a significant part of the package to attract talent.
Steps to Increase Salary
To increase your salary from the position of a Data Analytics Manager, consider the following strategies:
- Skill Enhancement: Continuously upgrade your skills in emerging technologies and tools in AI/ML and data science.
- Leadership Roles: Aim for leadership roles that involve strategic decision-making and managing larger teams.
- Industry Transition: Transition to industries that offer higher pay scales, such as tech or finance.
- Networking: Build a strong professional network to learn about higher-paying opportunities.
- Advanced Education: Pursue advanced degrees or certifications that can justify a higher salary.
Educational Requirements
Most Data Analytics Manager positions require at least a bachelor's degree in a related field such as computer science, statistics, mathematics, or engineering. However, a master's degree or even a Ph.D. in data science, business analytics, or a related field is often preferred, especially for roles in top-tier companies or competitive industries. Advanced degrees can provide a deeper understanding of complex analytical techniques and business acumen, which are crucial for managerial roles.
Helpful Certifications
Certifications can enhance your credibility 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
- SAS Certified Data Scientist
These certifications can help you stay updated with the latest tools and methodologies in data analytics and AI/ML.
Required Experience
Typically, a Data Analytics Manager is expected to have 5-10 years of experience in data analytics or a related field. This experience should include hands-on work with data analysis, statistical modeling, and machine learning, as well as experience in managing teams and projects. Experience in a specific industry can also be beneficial, as it provides domain knowledge that can be crucial for making informed business decisions.
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