Salary for Mid-level / Intermediate Data Analytics Manager in United States during 2023

Salary details

The average mid-level / intermediate Data Analytics Manager salary lies between USD 116,200 and USD 155,000 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.

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 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 Engineering. 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 | 21 jobs SQL | 12 jobs Engineering | 10 jobs Statistics | 10 jobs Python | 9 jobs Tableau | 8 jobs Research | 8 jobs R | 7 jobs Agile | 7 jobs Consulting | 6 jobs CX | 6 jobs Data analysis | 6 jobs Machine Learning | 5 jobs Power BI | 5 jobs Architecture | 5 jobs Data visualization | 5 jobs E-commerce | 5 jobs ETL | 4 jobs AWS | 4 jobs Business Intelligence | 4 jobs

Top 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, 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 | 15 jobs Startup environment | 12 jobs Flex hours | 10 jobs Flex vacation | 8 jobs Parental leave | 6 jobs Health care | 6 jobs Competitive pay | 4 jobs Equity / stock options | 3 jobs Team events | 3 jobs Insurance | 2 jobs Salary bonus | 2 jobs 401(k) matching | 1 jobs Lunch / meals | 1 jobs Fitness / gym | 1 jobs Transparency | 1 jobs Conferences | 1 jobs Pet friendly | 1 jobs

Salary Composition

The salary for a Mid-level/Intermediate Data Analytics Manager in the United States typically comprises a base salary, performance bonuses, and additional remuneration such as stock options or profit-sharing. The base salary often constitutes the majority of the total compensation package, usually ranging from 70% to 85%. Performance bonuses can vary significantly depending on the company and industry, often ranging from 10% to 20% of the total compensation. Additional remuneration, such as stock options or profit-sharing, is more common in tech companies and startups, potentially making up 5% to 10% of the total package. Regional differences also play a role; for instance, salaries in tech hubs like San Francisco or New York City tend to be higher due to the cost of living and competitive job markets.

Steps to Increase Salary

To increase your salary from this position, 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 like deep learning, natural language processing, or big data analytics can make you more valuable.
• Advanced Education: Pursuing further education, such as a master's degree or an MBA, can open up higher-level positions and salary brackets.
• Leadership Roles: Aim for roles with greater responsibility, such as Senior Data Analytics Manager or Director of Data Science, which typically offer higher compensation.
• Industry Transition: Consider moving to industries that pay higher salaries for data analytics roles, such as finance, healthcare, or technology.
• Networking and Visibility: Increase your professional network and visibility by attending industry conferences, speaking at events, or publishing articles in reputable journals.

Educational Requirements

Most Mid-level/Intermediate 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 in data science, business analytics, or a related field is often preferred and can provide a competitive edge. Some roles may also value an MBA, especially if the position involves significant business strategy and leadership responsibilities.

Helpful Certifications

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

• 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 skills in building, training, and deploying machine learning models on AWS.

Required Experience

Typically, a Mid-level/Intermediate Data Analytics Manager is expected to have 5 to 8 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, experience in managing teams, leading projects, and collaborating with cross-functional teams is highly valued.

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