Salary for Entry-level / Junior Data Reporting Analyst during 2024
💰 The median Salary for Entry-level / Junior Data Reporting Analyst during 2024 is USD 55,500
✏️ This salary info is based on 20 individual salaries reported during 2024
Salary details
The average entry-level / junior Data Reporting Analyst salary lies between USD 49,576 and USD 72,300 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.
- Job title
- Data Reporting Analyst
- Experience
- Entry-level / Junior
- Region
- global/worldwide
- Salary year
- 2024
- Sample size
- 20
- Top 10%
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- Top 25%
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- Median
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- Bottom 25%
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- Bottom 10%
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All data shown are full-time equivalent (FTE) salaries. Part-time salary information has been extrapolated to its FTE value.
Last updated:Top 20 Job Tags for Entry-level / Junior Data Reporting Analyst roles
The three most common job tag items assiciated with entry-level / junior Data Reporting Analyst job listings are Excel, SQL and Research. 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:
Excel | 27 jobs SQL | 22 jobs Research | 21 jobs Data analysis | 19 jobs Statistics | 18 jobs Security | 15 jobs Power BI | 14 jobs Computer Science | 12 jobs Data quality | 11 jobs Tableau | 10 jobs Mathematics | 10 jobs Python | 9 jobs R | 9 jobs Business Intelligence | 7 jobs Finance | 7 jobs KPIs | 7 jobs Privacy | 7 jobs Testing | 6 jobs Business Analytics | 6 jobs Economics | 5 jobsTop 20 Job Perks/Benefits for Entry-level / Junior Data Reporting Analyst roles
The three most common job benefits and perks assiciated with entry-level / junior Data Reporting Analyst job listings are Career development, Insurance 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:
Career development | 22 jobs Insurance | 21 jobs Health care | 17 jobs Flex hours | 13 jobs Competitive pay | 13 jobs Flex vacation | 11 jobs Wellness | 9 jobs Parental leave | 8 jobs Medical leave | 8 jobs Team events | 7 jobs 401(k) matching | 6 jobs Equity / stock options | 5 jobs Fitness / gym | 3 jobs Startup environment | 3 jobs Relocation support | 2 jobs Salary bonus | 2 jobs Travel | 1 jobs Gear | 1 jobs Conferences | 1 jobs Home office stipend | 1 jobsSalary Composition for Entry-Level Data Reporting Analyst
The salary for an entry-level or junior data reporting analyst typically consists of a fixed base salary, which forms the bulk of the compensation package. In the United States, this base salary can vary significantly depending on the region, industry, and company size. For instance, tech hubs like San Francisco or New York may offer higher base salaries compared to smaller cities. In addition to the base salary, some companies offer performance-based bonuses, which can range from 5% to 15% of the annual salary. Larger companies or those in competitive industries might also provide additional remuneration such as stock options, profit-sharing, or comprehensive benefits packages that include health insurance, retirement plans, and other perks.
Steps to Increase Salary from Entry-Level Position
To increase your salary from an entry-level position, consider the following strategies:
- Skill Enhancement: Continuously upgrade your skills by learning advanced data analysis tools and techniques. Proficiency in programming languages like Python or R, and expertise in data visualization tools like Tableau or Power BI, can make you more valuable.
- Certifications: Obtain relevant certifications that demonstrate your expertise and commitment to the field. Certifications in data science, machine learning, or specific software tools can enhance your profile.
- Networking: Build a professional network by attending industry conferences, joining relevant online communities, and connecting with peers and mentors. Networking can open up opportunities for higher-paying roles.
- Performance Excellence: Consistently deliver high-quality work and exceed performance expectations. This can lead to promotions and salary increases within your current organization.
- Further Education: Consider pursuing advanced degrees or specialized courses that align with your career goals. A master's degree in data science or a related field can significantly boost your earning potential.
Educational Requirements for Entry-Level Data Reporting Analyst
Most entry-level data reporting analyst positions require at least a bachelor's degree in a related field such as data science, computer science, statistics, mathematics, or business analytics. Some employers may also consider candidates with degrees in economics, engineering, or other quantitative disciplines, provided they have relevant skills and experience. A strong foundation in statistical analysis, data management, and programming is essential.
Helpful Certifications for Data Reporting Analysts
While not always mandatory, certain certifications can enhance your qualifications and make you more competitive in the job market. Some valuable certifications include:
- Microsoft Certified: Data Analyst Associate: Validates your ability to use Power BI to maximize the value of data assets.
- Tableau Desktop Specialist: Demonstrates your proficiency in using Tableau for data visualization.
- Google Data Analytics Professional Certificate: Offers a comprehensive introduction to data analytics, including data cleaning, analysis, and visualization.
- Certified Analytics Professional (CAP): A more advanced certification that covers the end-to-end analytics process.
Experience Requirements for Entry-Level Positions
Entry-level data reporting analyst roles typically require little to no professional experience, making them accessible to recent graduates. However, internships, co-op programs, or project work during your studies can be highly beneficial. Employers often look for candidates with practical experience in data analysis, even if it's through academic projects or freelance work. Familiarity with data analysis tools and programming languages is often expected.
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