Salary for Mid-level / Intermediate Data Analytics Specialist during 2024

Salary details

The average mid-level / intermediate Data Analytics Specialist salary lies between USD 72,000 and USD 116,500 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. 24, 2024

Top 20 Job Tags for Mid-level / Intermediate Data Analytics Specialist roles

The three most common job tag items assiciated with mid-level / intermediate Data Analytics Specialist job listings are Data Analytics, SQL and Power BI. 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 Analytics | 43 jobs SQL | 23 jobs Power BI | 20 jobs Excel | 18 jobs Statistics | 18 jobs Data analysis | 18 jobs Data visualization | 15 jobs Python | 14 jobs Data management | 13 jobs Engineering | 11 jobs Tableau | 10 jobs Computer Science | 10 jobs Data quality | 10 jobs R | 9 jobs Business Intelligence | 9 jobs Research | 8 jobs Salesforce | 8 jobs Economics | 7 jobs Finance | 6 jobs Security | 6 jobs

Top 20 Job Perks/Benefits for Mid-level / Intermediate Data Analytics Specialist roles

The three most common job benefits and perks assiciated with mid-level / intermediate Data Analytics Specialist job listings are Career development, Competitive pay 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 | 24 jobs Competitive pay | 15 jobs Health care | 13 jobs Salary bonus | 13 jobs Insurance | 10 jobs Flex hours | 8 jobs Flex vacation | 8 jobs 401(k) matching | 5 jobs Equity / stock options | 4 jobs Startup environment | 4 jobs Medical leave | 4 jobs Wellness | 3 jobs Team events | 3 jobs Relocation support | 3 jobs Parental leave | 2 jobs Transparency | 2 jobs Flexible spending account | 1 jobs

Salary Composition

The salary for a Mid-level/Intermediate Data Analytics Specialist typically comprises a base salary, performance bonuses, and additional remuneration such as stock options or benefits. The base salary is the fixed component and usually constitutes the majority of the total compensation package. Performance bonuses can vary significantly depending on the company's profitability and individual performance metrics. Additional remuneration might include stock options, especially in tech companies, or benefits like health insurance, retirement plans, and paid time off.

Regional differences can affect salary composition, with tech hubs like Silicon Valley offering higher base salaries and stock options, while other regions might offer more competitive bonuses. Industry also plays a role; for instance, finance and tech industries often provide higher bonuses compared to non-profit or public sectors. Company size can influence the package as well, with larger companies typically offering more comprehensive benefits and stock options.

Increasing Salary

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

• Skill Enhancement: Continuously upgrade your skills in advanced analytics, machine learning, and data visualization tools. Proficiency in programming languages like Python or R, and experience with big data technologies can make you more valuable.

• Specialization: Focus on a niche area within data science, such as natural language processing, computer vision, or deep learning, which can command higher salaries.

• Leadership Roles: Aim for leadership or managerial roles, which often come with higher pay. This might involve leading a team of data analysts or taking on project management responsibilities.

• Networking and Visibility: Attend industry conferences, contribute to open-source projects, or publish articles to increase your visibility and network within the industry.

• Negotiation Skills: Improve your negotiation skills to better advocate for salary increases during performance reviews or when switching jobs.

Educational Requirements

Most mid-level data analytics positions require at least a bachelor's degree in a related field such as computer science, statistics, mathematics, or engineering. However, a master's degree in data science, analytics, or a related field can be advantageous and is often preferred by employers. Some roles may also consider candidates with degrees in business or economics if they have strong analytical skills and relevant experience.

Helpful Certifications

Certifications can enhance your credentials and demonstrate your expertise to potential employers. Some valuable certifications include:

• Certified Analytics Professional (CAP)
• Microsoft Certified: Azure Data Scientist Associate
• Google Professional Data Engineer
• AWS Certified Data Analytics – Specialty
• SAS Certified Data Scientist

These certifications can validate your skills in data analysis, machine learning, and cloud-based data solutions, making you a more competitive candidate.

Required Experience

Typically, a mid-level data analytics specialist is expected to have 3-5 years of experience in data analysis or a related field. This experience should include hands-on work with data analytics tools and technologies, as well as a proven track record of solving complex data problems. Experience in specific industries or with particular types of data can also be beneficial.

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