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

Salary details

The average entry-level / junior Data Management Analyst salary lies between USD 61,320 and USD 91,990 globally. 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.

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

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 | 125 jobs Excel | 64 jobs Data quality | 53 jobs Research | 49 jobs SQL | 44 jobs Security | 36 jobs Data governance | 36 jobs Finance | 34 jobs Data analysis | 27 jobs Tableau | 24 jobs Engineering | 24 jobs Power BI | 23 jobs Statistics | 21 jobs Computer Science | 21 jobs R | 20 jobs Data Analytics | 20 jobs Testing | 17 jobs KPIs | 17 jobs Python | 16 jobs Classification | 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 | 47 jobs Health care | 40 jobs Flex hours | 34 jobs Flex vacation | 23 jobs Competitive pay | 22 jobs Team events | 18 jobs Salary bonus | 18 jobs Medical leave | 17 jobs Equity / stock options | 15 jobs Startup environment | 15 jobs Insurance | 15 jobs Wellness | 11 jobs 401(k) matching | 10 jobs Parental leave | 10 jobs Relocation support | 8 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 typically consists of a base salary, which is the fixed component, and may include bonuses and additional remuneration. The base salary often makes up the majority of the total compensation package. Bonuses can vary significantly depending on the company and industry. For instance, tech companies or financial institutions might offer performance-based bonuses, which could be a percentage of the base salary. Additional remuneration might include stock options, especially in tech startups, or other benefits like health insurance, retirement contributions, and paid time off. The composition can also vary by region, with higher base salaries often found in tech hubs like San Francisco or New York, compared to smaller cities or regions with a lower cost of living.

Career Advancement

To increase your salary from an entry-level position, consider gaining specialized skills or certifications that are in high demand. Pursuing a master's degree in data science or a related field can also be beneficial. Networking within the industry and seeking mentorship can provide insights into career advancement opportunities. Additionally, gaining experience in high-impact projects or taking on leadership roles within your team can demonstrate your value to the organization, potentially leading to promotions or salary increases. Staying updated with the latest trends and technologies in AI/ML and data science can also make you a more competitive candidate for higher-paying roles.

Educational Requirements

Most entry-level data management analyst positions require at least a bachelor's degree in a related field such as computer science, data science, statistics, mathematics, or information technology. Some employers may also consider candidates with degrees in business or economics if they have relevant technical skills. A strong foundation in mathematics and statistics is often essential, as is proficiency in programming languages like Python or R. Understanding database management and data visualization tools can also be advantageous.

Helpful Certifications

Certifications can enhance your resume and demonstrate your commitment to the field. Some valuable certifications include:

• Certified Analytics Professional (CAP): This certification is recognized across industries and validates your ability to transform data into valuable insights.
• Microsoft Certified: Azure Data Scientist Associate: This is beneficial if you are working with Microsoft Azure services.
• Google Professional Data Engineer: This certification is useful if you are working with Google Cloud Platform.
• AWS Certified Data Analytics – Specialty: Ideal for those working with Amazon Web Services.

These certifications can help you stand out in the job market and may lead to higher salary offers.

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, data cleaning, and using data management tools is often required. Familiarity with machine learning algorithms and data visualization techniques can also be beneficial. While extensive professional experience is not expected, demonstrating your ability to apply theoretical knowledge in practical scenarios can be a significant advantage.

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