Salary for Senior-level / Expert Data Analytics Manager in United States during 2023

💰 The median Salary for Senior-level / Expert Data Analytics Manager in United States during 2023 is USD 152,500

✏️ This salary info is based on 8 individual salaries reported during 2023

Salary details

The average senior-level / expert Data Analytics Manager salary lies between USD 130,900 and USD 190,000 in the United States. 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: Senior-level / Expert

Region: United States

Salary year: 2023

Sample size: 8

Top 10%: $ 254,500

Top 25%: $ 190,000

Median: $ 152,500

Bottom 25%: $ 130,900

Bottom 10%: $ 120,000

Region represents the primary country of residence of an employee during the year (or residence for tax purposes). 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 Senior-level / Expert Data Analytics Manager roles

The three most common job tag items assiciated with senior-level / expert 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:

Top 20 Job Perks/Benefits for Senior-level / Expert Data Analytics Manager roles

The three most common job benefits and perks assiciated with senior-level / expert 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 2023 and the number of open jobs that where offering them during that period:

Salary Composition

The salary for a Senior-level or Expert Data Analytics Manager in the United States typically comprises several components. The fixed base salary is the largest portion, often accounting for 70-80% of the total compensation package. Bonuses, which can be performance-based or tied to company profits, usually make up 10-20% of the salary. Additional remuneration may include stock options, especially in tech companies, and other benefits like health insurance, retirement contributions, and paid time off. The exact composition can vary significantly depending on the 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 larger cash bonuses.

Increasing Salary

To increase your salary from this position, consider pursuing further specialization or leadership roles. Transitioning into a Director of Data Science or Chief Data Officer role can offer higher compensation. Additionally, expanding your expertise in emerging technologies like AI and machine learning can make you more valuable. Networking within industry circles and attending relevant conferences can also open up opportunities for higher-paying roles. Negotiating your salary during performance reviews or when taking on additional responsibilities can also be effective.

Educational Requirements

Most Senior-level 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. is often preferred, especially in competitive markets. Advanced degrees in Data Science, Business Analytics, or an MBA with a focus on analytics can provide a significant advantage.

Helpful Certificates

Several certifications can enhance your qualifications for this role. The Certified Analytics Professional (CAP) is widely recognized and covers a broad range of analytics skills. Other valuable certifications include the Microsoft Certified: Azure Data Scientist Associate, Google Professional Data Engineer, and AWS Certified Machine Learning – Specialty. These certifications demonstrate proficiency in specific tools and platforms that are highly relevant in the field.

Required Experience

Typically, a Senior-level Data Analytics Manager is expected to have at least 7-10 years of experience in data analytics or a related field. This experience should include a proven track record of managing analytics projects, leading teams, and delivering actionable insights. Experience with data visualization tools, statistical software, and programming languages like Python or R is also crucial. Prior experience in a managerial role is often required to demonstrate leadership capabilities.

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