Salary for Mid-level / Intermediate Data Management Specialist in United States during 2024

Salary details

The average mid-level / intermediate Data Management Specialist salary lies between USD 60,400 and USD 100,000 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: Dec. 22, 2024

Top 20 Job Tags for Mid-level / Intermediate Data Management Specialist roles

The three most common job tag items assiciated with mid-level / intermediate Data Management Specialist job listings are Data management, Excel and Security. 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:

Data management | 123 jobs Excel | 53 jobs Security | 37 jobs Data quality | 32 jobs Engineering | 31 jobs SQL | 30 jobs Research | 30 jobs Finance | 23 jobs Statistics | 23 jobs Computer Science | 22 jobs Python | 20 jobs Power BI | 20 jobs Mathematics | 19 jobs Data governance | 19 jobs Testing | 18 jobs Data analysis | 17 jobs R | 16 jobs Privacy | 14 jobs Banking | 13 jobs Pharma | 13 jobs

Top 20 Job Perks/Benefits for Mid-level / Intermediate Data Management Specialist roles

The three most common job benefits and perks assiciated with mid-level / intermediate Data Management Specialist 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:

Career development | 53 jobs Health care | 44 jobs Flex hours | 35 jobs Competitive pay | 28 jobs Team events | 25 jobs Medical leave | 20 jobs Insurance | 17 jobs Parental leave | 16 jobs Equity / stock options | 15 jobs Salary bonus | 13 jobs Flex vacation | 12 jobs 401(k) matching | 11 jobs Wellness | 11 jobs Startup environment | 11 jobs Relocation support | 7 jobs Transparency | 5 jobs Flexible spending account | 5 jobs Gear | 2 jobs Conferences | 2 jobs Snacks / Drinks | 2 jobs

Salary Composition

The salary for a Mid-level/Intermediate Data Management Specialist in the United States typically comprises a fixed base salary, performance bonuses, and additional remuneration such as stock options or profit-sharing. The fixed base salary is the most significant component, often accounting for 70-85% of the total compensation package. Bonuses can vary widely depending on the company and industry, ranging from 5-15% of the base salary. Additional remuneration, such as stock options or profit-sharing, is more common in larger tech companies or startups and can make up 5-10% of the total compensation. 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 tools in AI/ML and data science. Specializing in high-demand areas like deep learning, natural language processing, or big data analytics can make you more valuable.
• Advanced Education: Pursuing a master's degree or relevant certifications can enhance your qualifications and open up higher-paying opportunities.
• Networking: Engage with professional networks and communities. Attending conferences, webinars, and workshops can help you connect with industry leaders and learn about new opportunities.
• Performance Excellence: Consistently exceed performance expectations and take on challenging projects to demonstrate your value to the organization.
• Negotiation Skills: Develop strong negotiation skills to effectively advocate for salary increases during performance reviews or when offered new positions.

Educational Requirements

Most mid-level data management specialist roles require at least a bachelor's degree in a related field such as computer science, information technology, data science, or statistics. Some positions may prefer or require a master's degree, especially in competitive markets or for roles with a strong focus on AI/ML. A solid foundation in mathematics, statistics, and programming is essential, as these skills are critical for data analysis and model development.

Helpful Certifications

Certifications can enhance your credibility and demonstrate your commitment to professional development. Some valuable certifications include:

• Certified Data Management Professional (CDMP): Focuses on data management principles and practices.
• Microsoft Certified: Azure Data Scientist Associate: Validates skills in using Azure for data science solutions.
• Google Professional Data Engineer: Demonstrates proficiency in designing and managing data processing systems.
• AWS Certified Machine Learning – Specialty: Highlights expertise in building, training, and deploying ML models on AWS.

Required Experience

Typically, a mid-level data management specialist role requires 3-5 years of relevant experience. This experience should include hands-on work with data management, data analysis, and familiarity with data tools and technologies. Experience in specific industries, such as finance, healthcare, or technology, can be advantageous, as it provides context-specific insights and knowledge.

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