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

Salary details

The average entry-level / junior Data Operations Analyst salary lies between USD 66,240 and USD 91,550 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 Operations Analyst roles

The three most common job tag items assiciated with entry-level / junior Data Operations Analyst job listings are DataOps, SQL and Excel. 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:

DataOps | 90 jobs SQL | 45 jobs Excel | 33 jobs Data quality | 33 jobs Engineering | 32 jobs Python | 31 jobs Data analysis | 30 jobs Data management | 30 jobs Computer Science | 25 jobs Testing | 24 jobs Security | 21 jobs Economics | 19 jobs Data governance | 18 jobs ETL | 17 jobs Tableau | 17 jobs Finance | 17 jobs Business Intelligence | 14 jobs Privacy | 12 jobs Airflow | 11 jobs Research | 11 jobs

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

The three most common job benefits and perks assiciated with entry-level / junior Data Operations 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 | 63 jobs Health care | 39 jobs Flex hours | 28 jobs Startup environment | 22 jobs Flex vacation | 18 jobs Insurance | 17 jobs Equity / stock options | 13 jobs Team events | 13 jobs Salary bonus | 11 jobs Competitive pay | 10 jobs Wellness | 9 jobs Medical leave | 8 jobs Parental leave | 6 jobs 401(k) matching | 4 jobs Fitness / gym | 3 jobs Home office stipend | 3 jobs Transparency | 2 jobs Yoga | 2 jobs Unlimited paid time off | 2 jobs Travel | 1 jobs

Salary Composition

The salary for an Entry-level/Junior Data Operations Analyst typically consists of a base salary, which is the fixed amount, and may include bonuses and additional remuneration. The composition can vary significantly depending on the region, industry, and company size. In tech hubs like San Francisco or New York, the base salary might be higher due to the cost of living, while bonuses could be more substantial in industries like finance or tech, where performance incentives are common. Smaller companies or startups might offer equity or stock options as part of the compensation package, whereas larger corporations might provide more structured bonuses and benefits.

Steps to Increase Salary

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

• Skill Enhancement: Continuously upgrade your skills in data analysis, machine learning, and programming languages like Python or R. Specializing in a niche area can make you more valuable.
• Advanced Education: Pursuing a master's degree or relevant certifications can open up higher-paying opportunities.
• Networking: Building a strong professional network can lead to better job opportunities and salary negotiations.
• Performance Excellence: Consistently exceeding performance expectations can lead to promotions and salary increases.
• Industry Transition: Moving to a higher-paying industry, such as finance or tech, can significantly boost your salary.

Educational Requirements

Most entry-level positions in data operations require at least a bachelor's degree in a related field such as Computer Science, Statistics, Mathematics, or Data Science. Some employers may also consider degrees in Economics or Engineering if the candidate has relevant skills and experience. A strong foundation in quantitative analysis and data manipulation is essential.

Helpful Certifications

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

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

These certifications can provide you with a competitive edge and validate your skills to potential employers.

Required Experience

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 projects during your studies. Familiarity with data analysis tools and programming languages, as well as experience with data visualization and reporting, is often expected. Demonstrating hands-on experience with real-world data problems can be a significant advantage.

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