Data Analytics Manager Salary in 2024

💰 The median Data Analytics Manager Salary in 2024 is USD 136,000

✏️ This salary info is based on 81 individual salaries reported during 2024

Salary details

The average Data Analytics Manager salary lies between USD 108,750 and USD 180,000 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: 2024

Sample size: 81

Top 10%: $ 209,000

Top 25%: $ 180,000

Median: $ 136,000

Bottom 25%: $ 108,750

Bottom 10%: $ 73,300

All data shown are full-time equivalent (FTE) salaries. Part-time salary information has been extrapolated to its FTE value.

Last updated: Nov. 17, 2024

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 2024 and the number of open jobs that where associated with them during that period:

Top 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, 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:

Salary Composition for a Data Analytics Manager

The salary for a 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.

Region: Salaries can vary widely based on geographic location. For instance, positions in major tech hubs like San Francisco or New York often offer higher salaries to offset the higher cost of living.
Industry: Industries such as finance, technology, and healthcare tend to offer higher salaries compared to non-profit or educational sectors.
Company Size: Larger companies often have more resources to offer competitive salaries and comprehensive benefits packages, while startups might offer equity as part of the compensation.

Steps to Increase Salary from This Position

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. This could include learning new programming languages, mastering advanced analytics tools, or gaining expertise in big data technologies.
Leadership Development: Develop your leadership and management skills to prepare for higher-level roles such as Director of Analytics or Chief Data Officer.
Networking: Build a strong professional network within the industry. Attend conferences, join professional organizations, and participate in online forums to increase your visibility and opportunities.
Performance Excellence: Consistently deliver outstanding results in your current role. Demonstrating a track record of success can position you for promotions and salary increases.
Negotiation Skills: Improve your negotiation skills to effectively advocate for higher compensation during performance reviews or when considering new job offers.

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 discipline is often preferred, especially for roles in competitive industries or larger organizations. Advanced degrees can provide a deeper understanding of complex analytical techniques and business acumen.

Helpful Certifications

While not always mandatory, certain certifications can enhance your qualifications and demonstrate your expertise to potential employers:

Certified Analytics Professional (CAP): This certification validates your ability to transform data into valuable insights and is recognized across industries.
Google Data Analytics Professional Certificate: Offers foundational knowledge and practical skills in data analytics.
Microsoft Certified: Azure Data Scientist Associate: Focuses on using Azure to implement and run machine learning workloads.
AWS Certified Machine Learning – Specialty: Demonstrates expertise in building, training, tuning, and deploying machine learning models on AWS.

Experience Requirements

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 data visualization. Additionally, managerial experience is crucial, as the role involves leading teams, managing projects, and communicating insights to stakeholders.

Related salaries

Data Analytics Manager @ $ 170,200 (global) - Senior-level / Expert Details

Data Analytics Manager @ $ 128,300 (global) - Mid-level / Intermediate Details

Data Analytics Manager @ $ 170,200 (United States) - Senior-level / Expert Details

Data Analytics Manager @ $ 128,300 (United States) - Mid-level / Intermediate Details

Data Analytics Manager @ $ 137,400 (United States) Details

Want to contribute?

📝 Submit your salary info

Enter your own salary data for the current or past work year. It's quite simple and doesn't take more than a minute to fill out.

Go to salary survey

📢 Share our salary survey

Share our "in-less-than-a-minute survey" with others working in the field of AI, ML, Data Science. The more data we have the better for everyone.

💾 Download the data

All collected information will be updated into a public dataset regularly and provided as a download free for anyone to use.

Go to download page

🚀 Search for jobs & talent

If you're thinking about a career change or want to hire fresh talent quickly check out the jobs page.

Go to frontpage

About this project

We collect salary information anonymously from professionals and employers all over the world and make it publicly available for anyone to use, share and play around with.

Our goal is to have open salary data for everyone. So newbies, experienced pros, hiring managers, recruiters and also startup founders or people wanting to switch careers can make better decisions.

Add your salary info Download all salary data