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

Salary details

The average mid-level / intermediate Encounter Data Management Professional salary lies between USD 47,700 and USD 65,600 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 Encounter Data Management Professional roles

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

SQL | 11 jobs Excel | 11 jobs Data management | 11 jobs SAS | 7 jobs Research | 6 jobs Data analysis | 5 jobs Security | 4 jobs Oracle | 2 jobs Finance | 1 jobs Power BI | 1 jobs Testing | 1 jobs Databricks | 1 jobs

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

The three most common job benefits and perks assiciated with mid-level / intermediate Encounter Data Management Professional job listings are Insurance, Parental leave and Health care. 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:

Insurance | 11 jobs Parental leave | 10 jobs Health care | 10 jobs Competitive pay | 10 jobs Medical leave | 10 jobs Salary bonus | 6 jobs Flex hours | 5 jobs Wellness | 3 jobs Career development | 3 jobs 401(k) matching | 1 jobs Flex vacation | 1 jobs Startup environment | 1 jobs Team events | 1 jobs

Salary Composition

The salary for a Mid-level/Intermediate Encounter Data Management Professional in the AI/ML/Data Science field typically consists of a base salary, performance bonuses, and additional remuneration such as stock options or benefits. The composition can vary significantly based on region, industry, and company size. In tech hubs like Silicon Valley or New York, the base salary might be higher due to the cost of living and competitive market. Performance bonuses are often tied to individual or company performance metrics and can range from 5% to 20% of the base salary. Additional remuneration might include stock options, especially in startups or tech companies, and comprehensive benefits packages that cover health insurance, retirement plans, and other perks.

Steps to Increase Salary

To increase your salary from this position, consider the following strategies:

• Skill Enhancement: Continuously update your skills in AI/ML and data science. Specializing in emerging technologies or tools can make you more valuable.
• Advanced Education: Pursuing a master's degree or relevant certifications can enhance your qualifications and bargaining power.
• Networking: Engage with professional networks and attend industry conferences to increase your visibility and learn about higher-paying opportunities.
• Performance Excellence: Consistently exceed performance expectations to position yourself for promotions or salary negotiations.
• Industry Shift: Consider moving to industries that pay higher for data management roles, such as finance or healthcare.

Educational Requirements

Most mid-level positions in encounter data management require at least a bachelor's degree in a related field such as computer science, data science, statistics, or information technology. Some employers may prefer candidates with a master's degree, especially if the role involves complex data analysis or machine learning tasks. A strong foundation in mathematics and statistics is often essential.

Helpful Certifications

Certifications can bolster your credentials and demonstrate expertise. Some valuable certifications include:

• Certified Analytics Professional (CAP)
• Google Professional Data Engineer
• Microsoft Certified: Azure Data Scientist Associate
• AWS Certified Machine Learning – Specialty
• SAS Certified Data Scientist

These certifications can validate your skills and potentially lead to higher salary offers.

Experience Requirements

Typically, a mid-level position requires 3-5 years of experience in data management, analytics, or a related field. Experience with data analysis tools, programming languages like Python or R, and familiarity with databases and data warehousing solutions are often expected. Experience in managing data projects and working with cross-functional teams can also be advantageous.

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