Salary for Entry-level / Junior Data Management Analyst in United States during 2024

Salary details

The average entry-level / junior Data Management Analyst salary lies between USD 61,320 and USD 100,996 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. 24, 2024

Top 20 Job Tags for Entry-level / Junior Data Management Analyst roles

The three most common job tag items assiciated with entry-level / junior Data Management Analyst job listings are Data management, Excel and Data quality. 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 | 133 jobs Excel | 68 jobs Data quality | 54 jobs Research | 50 jobs SQL | 46 jobs Security | 38 jobs Finance | 36 jobs Data governance | 36 jobs Data analysis | 28 jobs Tableau | 25 jobs Engineering | 25 jobs Power BI | 23 jobs Computer Science | 22 jobs Data Analytics | 21 jobs Statistics | 21 jobs R | 20 jobs Testing | 18 jobs Python | 17 jobs KPIs | 17 jobs Oracle | 15 jobs

Top 20 Job Perks/Benefits for Entry-level / Junior Data Management Analyst roles

The three most common job benefits and perks assiciated with entry-level / junior Data Management Analyst 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 | 50 jobs Health care | 41 jobs Flex hours | 34 jobs Flex vacation | 24 jobs Competitive pay | 24 jobs Salary bonus | 21 jobs Team events | 18 jobs Medical leave | 18 jobs Insurance | 17 jobs Equity / stock options | 15 jobs Startup environment | 15 jobs Wellness | 12 jobs Parental leave | 11 jobs 401(k) matching | 10 jobs Relocation support | 9 jobs Home office stipend | 6 jobs Conferences | 3 jobs Flexible spending account | 3 jobs Yoga | 2 jobs Gear | 1 jobs

Salary Composition

The salary for an Entry-level/Junior Data Management Analyst in the United States typically consists of a base salary, which is the fixed amount, and may include additional components such as bonuses and other forms of remuneration. The base salary is often the largest portion and is influenced by factors such as geographic location, industry, and company size. For instance, tech hubs like San Francisco or New York may offer higher base salaries compared to other regions due to the higher cost of living and competitive job market. Bonuses can vary significantly and are often tied to individual performance, company performance, or both. In larger companies, bonuses might be more structured and predictable, while smaller companies might offer equity or stock options as part of the compensation package. Additionally, some industries, like finance or tech, might offer more lucrative bonuses compared to others.

Steps to Increase Salary

To increase your salary from an entry-level position, consider the following strategies:

• Skill Enhancement: Continuously upgrade your skills by learning new tools and technologies relevant to data management and analysis. Proficiency in programming languages like Python or R, and tools like SQL, Tableau, or Power BI can be advantageous.
• Advanced Education: Pursuing further education, such as a master's degree in data science, analytics, or a related field, can open up higher-paying opportunities.
• Networking: Build a strong professional network by attending industry conferences, joining relevant online forums, and connecting with peers and mentors in the field.
• Performance Excellence: Consistently exceed performance expectations in your current role to position yourself for promotions and salary increases.
• Certifications: Obtain relevant certifications that can validate your skills and make you more competitive in the job market.

Educational Requirements

Most entry-level data management analyst positions require at least a bachelor's degree in a related field such as computer science, information technology, statistics, mathematics, or data science. Some employers may also consider candidates with degrees in business or economics if they have relevant technical skills. A strong foundation in quantitative and analytical skills is essential, and coursework in data management, database systems, and statistical analysis can be particularly beneficial.

Helpful Certifications

While not always mandatory, certain certifications can enhance your resume and demonstrate your expertise to potential employers. Some valuable certifications include:

• Certified Analytics Professional (CAP)
• Microsoft Certified: Azure Data Scientist Associate
• Google Data Analytics Professional Certificate
• SAS Certified Data Scientist
• IBM Data Science Professional Certificate

These certifications can provide you with a competitive edge and may lead to better job opportunities and higher salaries.

Experience Requirements

For an entry-level position, employers typically look for candidates with some practical experience, which can be gained through internships, co-op programs, or relevant project work during your studies. Experience with data analysis, database management, and familiarity with data visualization tools is often expected. While extensive professional experience is not required, demonstrating your ability to apply theoretical knowledge to real-world problems can be a significant advantage.

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