Data Analytics Manager Salary in 2023
💰 The median Data Analytics Manager Salary in 2023 is USD 140,000
✏️ This salary info is based on 31 individual salaries reported during 2023
Salary details
The average Data Analytics Manager salary lies between USD 120,000 and USD 177,000 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
- all levels
- Region
- global/worldwide
- Salary year
- 2023
- Sample size
- 31
- 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 2023 and the number of open jobs that where associated with them during that period:
Data Analytics | 56 jobs SQL | 38 jobs Python | 34 jobs Tableau | 27 jobs Statistics | 26 jobs R | 20 jobs Engineering | 20 jobs Data analysis | 19 jobs Power BI | 17 jobs Research | 16 jobs Excel | 15 jobs Business Intelligence | 14 jobs Machine Learning | 13 jobs Data visualization | 13 jobs Consulting | 12 jobs Looker | 11 jobs Data warehouse | 11 jobs Architecture | 10 jobs Snowflake | 10 jobs Computer Science | 10 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 Flex hours. 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 | 41 jobs Startup environment | 26 jobs Flex hours | 25 jobs Health care | 21 jobs Flex vacation | 19 jobs Team events | 18 jobs Parental leave | 13 jobs Competitive pay | 13 jobs Salary bonus | 10 jobs Equity / stock options | 9 jobs Medical leave | 8 jobs Insurance | 8 jobs Fitness / gym | 5 jobs 401(k) matching | 3 jobs Wellness | 3 jobs Home office stipend | 3 jobs Conferences | 2 jobs Lunch / meals | 1 jobs Gear | 1 jobs Transparency | 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 base salary is often the largest component, accounting for 70-80% of the total compensation package. Performance bonuses can vary significantly, ranging from 10-20% of the total salary, depending on the company's performance and individual achievements. Additional remuneration, such as stock options, profit-sharing, or benefits like health insurance and retirement plans, can make up the remaining 5-10%. The composition can vary based on region, industry, and company size. For instance, tech companies in Silicon Valley might offer higher stock options, while financial firms in New York might provide more substantial bonuses.
Increasing Salary
To increase your salary from the position of a Data Analytics Manager, consider the following strategies:
- Skill Enhancement: Continuously update your skills in emerging technologies and methodologies in AI/ML and data science. Specializing in niche areas can make you more valuable.
- Leadership Roles: Aim for leadership roles such as Director of Analytics or Chief Data Officer, which come with higher pay scales.
- Industry Transition: Transitioning to industries with higher pay scales, such as finance or tech, can also lead to salary increases.
- Networking: Build a strong professional network to learn about higher-paying opportunities and gain insights into salary trends.
- Negotiation: Improve your negotiation skills to better advocate for salary increases during performance reviews or when switching jobs.
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 larger companies or more competitive industries. Advanced degrees can provide a deeper understanding of complex analytical techniques and business acumen, which are crucial for managerial roles.
Helpful Certifications
While not always mandatory, certain certifications can enhance your qualifications and demonstrate your expertise. Some valuable certifications include:
- Certified Analytics Professional (CAP): Validates your ability to transform data into valuable insights.
- Google Professional Data Engineer: Demonstrates proficiency in designing, building, and operationalizing data processing systems.
- Microsoft Certified: Azure Data Scientist Associate: Focuses on using Azure's machine learning capabilities.
- AWS Certified Machine Learning – Specialty: Highlights your ability to design, implement, and maintain machine learning solutions on AWS.
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. Additionally, managerial experience, such as leading a team or project management, is crucial. Experience in a specific industry can also be beneficial, as it provides domain knowledge that can be applied to data-driven decision-making.
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