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

Salary details

The average entry-level / junior Data Operations Analyst salary lies between USD 70,000 and USD 91,550 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 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 | 98 jobs SQL | 49 jobs Excel | 38 jobs Python | 35 jobs Data quality | 35 jobs Engineering | 33 jobs Data analysis | 33 jobs Data management | 31 jobs Testing | 25 jobs Computer Science | 25 jobs Security | 23 jobs Economics | 20 jobs Data governance | 20 jobs Finance | 19 jobs ETL | 18 jobs Tableau | 18 jobs Business Intelligence | 16 jobs Research | 15 jobs Airflow | 12 jobs Agile | 12 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 | 67 jobs Health care | 41 jobs Flex hours | 29 jobs Startup environment | 24 jobs Flex vacation | 19 jobs Insurance | 19 jobs Team events | 14 jobs Equity / stock options | 13 jobs Wellness | 11 jobs Competitive pay | 11 jobs Salary bonus | 11 jobs Medical leave | 8 jobs Parental leave | 6 jobs 401(k) matching | 4 jobs Transparency | 4 jobs Home office stipend | 4 jobs Fitness / gym | 3 jobs Gear | 2 jobs Yoga | 2 jobs Unlimited paid time off | 2 jobs

Salary Composition

The salary for an Entry-level/Junior Data Operations Analyst in the United States typically consists of a base salary, which is the fixed component, and may include additional remuneration such as bonuses and benefits. The base salary is often the largest portion, accounting for approximately 70-85% of the total compensation package. Bonuses, which can be performance-based or company-wide, might contribute an additional 5-15%. Benefits such as health insurance, retirement contributions, and stock options can also form a significant part of the overall package, especially in larger companies or tech-centric regions like Silicon Valley. The composition can vary significantly depending on the region, industry, and company size. For instance, tech companies in major hubs like San Francisco or New York might offer higher base salaries and stock options, while smaller companies or those in less competitive regions might offer more modest packages.

Steps to Increase Salary

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

• Skill Enhancement: Continuously upgrade your technical skills, especially in programming languages like Python or R, and tools like SQL, Tableau, or Power BI.
• Advanced Education: Pursuing a master's degree in data science, analytics, or a related field can open up higher-paying opportunities.
• Certifications: Obtain relevant certifications that can validate your skills and make you more competitive.
• Networking: Build a strong professional network through industry events, online forums, and social media platforms like LinkedIn.
• Performance Excellence: Consistently exceed performance expectations and take on additional responsibilities to demonstrate your value to the organization.

Educational Requirements

Most entry-level Data Operations Analyst positions require at least a bachelor's degree in a relevant field such as computer science, statistics, mathematics, or data science. Some employers may also consider candidates with degrees in related fields like engineering, economics, or business, provided they have strong analytical skills and relevant coursework or experience in data analysis.

Helpful Certifications

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

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

These certifications can help you stand out in the job market 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 projects during your academic career. Experience with data analysis tools, programming languages, and real-world data projects can be particularly beneficial. While direct work experience may not be mandatory, demonstrating your ability to apply theoretical knowledge in practical scenarios is crucial.

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