Data Governance Analyst Salary in 2024

Salary details

The average Data Governance Analyst salary lies between USD 85,000 and USD 147,472 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: Dec. 15, 2024

Top 20 Job Tags for Data Governance Analyst roles

The three most common job tag items assiciated with Data Governance Analyst job listings are Data governance, Data quality and Data management. 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 governance | 148 jobs Data quality | 119 jobs Data management | 111 jobs SQL | 69 jobs Security | 64 jobs Privacy | 62 jobs Excel | 47 jobs Computer Science | 45 jobs Engineering | 40 jobs Architecture | 36 jobs Data analysis | 33 jobs Power BI | 27 jobs Finance | 26 jobs Agile | 26 jobs Informatica | 22 jobs KPIs | 22 jobs Python | 21 jobs Data Analytics | 21 jobs Testing | 21 jobs Consulting | 19 jobs

Top 20 Job Perks/Benefits for Data Governance Analyst roles

The three most common job benefits and perks assiciated with Data Governance 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 | 88 jobs Health care | 56 jobs Flex hours | 42 jobs Competitive pay | 39 jobs Insurance | 32 jobs Team events | 31 jobs Wellness | 27 jobs Medical leave | 27 jobs Parental leave | 24 jobs Salary bonus | 23 jobs Equity / stock options | 22 jobs Flex vacation | 20 jobs 401(k) matching | 16 jobs Startup environment | 12 jobs Conferences | 7 jobs Fitness / gym | 6 jobs Gear | 4 jobs Fertility benefits | 4 jobs Relocation support | 3 jobs Home office stipend | 3 jobs

Salary Composition for a Data Governance Analyst

The salary composition for a Data Governance Analyst typically includes a base salary, performance bonuses, and additional remuneration such as stock options or benefits. The base salary often constitutes the majority of the total compensation package, usually ranging from 70% to 85%. Performance bonuses can vary significantly depending on the company and industry, often comprising 10% to 20% of the total salary. Additional remuneration, such as stock options, profit-sharing, or comprehensive benefits packages, can make up the remaining 5% to 10%.

Regional differences also play a significant role in salary composition. For instance, positions in tech hubs like Silicon Valley or New York City may offer higher base salaries and stock options due to the competitive market. In contrast, roles in smaller cities or regions may offer lower base salaries but compensate with other benefits. Industry and company size also influence salary composition, with larger tech companies or financial institutions typically offering more competitive packages compared to smaller firms or non-tech industries.

Steps to Increase Salary from a Data Governance Analyst Position

To increase your salary from a Data Governance Analyst position, consider the following strategies:

• Skill Enhancement: Continuously update and expand your skill set, particularly in emerging technologies and methodologies in AI/ML and data science. This could involve learning new programming languages, mastering data visualization tools, or gaining expertise in cloud computing platforms.

• Advanced Education: Pursuing advanced degrees such as a Master's or Ph.D. in Data Science, Computer Science, or a related field can significantly enhance your qualifications and salary prospects.

• Certifications: Obtaining relevant certifications can demonstrate your expertise and commitment to the field, potentially leading to higher compensation.

• Networking and Professional Development: Engage in networking opportunities, attend industry conferences, and participate in professional organizations to increase your visibility and open up new career opportunities.

• Leadership Roles: Seek opportunities to take on leadership roles or manage projects, as these positions often come with higher salaries and additional responsibilities.

Educational Requirements for a Data Governance Analyst

Most Data Governance Analyst positions require at least a bachelor's degree in a related field such as Computer Science, Information Systems, Data Science, or Business Administration. A strong foundation in data management, statistics, and analytics is essential. Some employers may prefer candidates with a master's degree, especially for more senior roles. Additionally, coursework or experience in data governance frameworks, data quality management, and regulatory compliance is highly beneficial.

Helpful Certifications for a Data Governance Analyst

Several certifications can enhance your qualifications as a Data Governance Analyst:

• Certified Information Management Professional (CIMP): Focuses on data governance, data quality, and data management.

• Certified Data Management Professional (CDMP): Offers a comprehensive understanding of data management principles and practices.

• Data Governance and Stewardship Professional (DGSP): Specializes in data governance and stewardship practices.

• Certified Information Systems Auditor (CISA): Useful for understanding the auditing and compliance aspects of data governance.

These certifications can validate your expertise and commitment to the field, making you a more attractive candidate for higher-paying roles.

Experience Required for a Data Governance Analyst

Typically, a Data Governance Analyst position requires 3 to 5 years of experience in data management, data analysis, or a related field. Experience with data governance frameworks, data quality tools, and regulatory compliance is often necessary. Familiarity with data modeling, database management, and data warehousing can also be advantageous. For more senior roles, employers may seek candidates with 5 to 7 years of experience, including leadership or project management experience.

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