Encounter Data Management Professional Salary in United States during 2024

Salary details

The average Encounter Data Management Professional salary lies between USD 57,700 and USD 79,500 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 Encounter Data Management Professional roles

The three most common job tag items assiciated with Encounter Data Management Professional job listings are Data management, Excel and SQL. 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 | 19 jobs Excel | 18 jobs SQL | 15 jobs Research | 8 jobs SAS | 8 jobs Data analysis | 7 jobs Finance | 5 jobs Security | 5 jobs Oracle | 3 jobs Power BI | 3 jobs Databricks | 2 jobs Python | 1 jobs Testing | 1 jobs Bigtable | 1 jobs

Top 20 Job Perks/Benefits for Encounter Data Management Professional roles

The three most common job benefits and perks assiciated with 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 | 19 jobs Parental leave | 18 jobs Health care | 18 jobs Competitive pay | 18 jobs Medical leave | 18 jobs Salary bonus | 14 jobs Wellness | 9 jobs Flex hours | 6 jobs Career development | 4 jobs 401(k) matching | 2 jobs Startup environment | 2 jobs Team events | 2 jobs Flex vacation | 1 jobs Gear | 1 jobs

Salary Composition

The salary for an Encounter Data Management Professional in the AI/ML/Data Science field typically comprises a fixed base salary, performance bonuses, and additional remuneration such as stock options or benefits. The fixed base salary is the most significant component, often accounting for 70-80% of the total compensation package. Bonuses can vary widely depending on the company’s performance and individual achievements, usually ranging from 5-15% of the base salary. Additional remuneration, such as stock options, profit-sharing, or comprehensive benefits packages, can also play a role, especially in larger tech companies or startups. Regional differences can affect these components, with tech hubs like Silicon Valley or New York offering higher base salaries and more lucrative stock options compared to other regions. Industry and company size also influence salary composition, with larger firms typically providing more structured bonus schemes and additional perks.

Steps to Increase Salary

To increase your salary from the position of an Encounter Data Management Professional, consider the following strategies:

• Skill Enhancement: Continuously update and expand your technical skills, particularly in emerging AI/ML technologies and data management tools. Proficiency in programming languages like Python or R, and experience with data visualization tools, can make you more valuable.

• Advanced Education: Pursuing a master’s degree or specialized certifications in data science or AI can position you for higher-paying roles.

• Networking and Professional Development: Engage in industry conferences, workshops, and networking events to build connections and learn about new opportunities.

• Leadership and Management Skills: Developing skills in project management or team leadership can open doors to higher-level positions with increased responsibilities and pay.

• Performance and Results: Demonstrating a track record of successful projects and measurable results can strengthen your case for a raise or promotion.

Educational Requirements

Most Encounter Data Management Professional roles require at least a bachelor’s degree in a related field such as computer science, data science, statistics, or information technology. Some positions may prefer or require a master’s degree, especially for roles with a strong focus on AI/ML. Coursework in data analysis, machine learning, database management, and statistical modeling is often essential. Additionally, familiarity with healthcare data systems and regulations can be beneficial, given the nature of encounter data management.

Helpful Certifications

Several certifications can enhance your qualifications for this role:

• Certified Analytics Professional (CAP): This certification demonstrates your ability to transform data into valuable insights.

• Google Professional Data Engineer: This certification validates your skills in designing, building, and operationalizing data processing systems.

• AWS Certified Machine Learning – Specialty: This certification is beneficial if you work with AWS services and want to demonstrate your expertise in machine learning.

• SAS Certified Data Scientist: This certification covers a range of data science skills, including data manipulation, predictive modeling, and machine learning.

Experience Requirements

Typically, employers look for candidates with 2-5 years of experience in data management, analytics, or a related field. Experience with encounter data, particularly in healthcare settings, is highly valued. Familiarity with data warehousing, ETL processes, and data governance is often required. Experience in AI/ML projects, even if not directly related to encounter data, can also be advantageous.

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