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

Salary details

The average mid-level / intermediate Data Analytics Consultant salary lies between USD 66,100 and USD 110,300 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.

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 Mid-level / Intermediate Data Analytics Consultant roles

The three most common job tag items assiciated with mid-level / intermediate Data Analytics Consultant 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 | 23 jobs SQL | 17 jobs Power BI | 17 jobs Tableau | 14 jobs Data analysis | 14 jobs Python | 13 jobs Engineering | 12 jobs Consulting | 11 jobs Machine Learning | 10 jobs Excel | 10 jobs Data visualization | 10 jobs Statistics | 10 jobs Economics | 8 jobs Finance | 8 jobs Mathematics | 8 jobs R | 7 jobs Business Intelligence | 7 jobs Agile | 7 jobs Computer Science | 7 jobs Architecture | 6 jobs

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

The three most common job benefits and perks assiciated with mid-level / intermediate Data Analytics Consultant job listings are Career development, Flex hours and Team events. 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 | 18 jobs Flex hours | 9 jobs Team events | 9 jobs Health care | 8 jobs Flex vacation | 6 jobs Competitive pay | 4 jobs Insurance | 4 jobs Unlimited paid time off | 4 jobs Equity / stock options | 3 jobs Startup environment | 3 jobs Fitness / gym | 2 jobs Medical leave | 2 jobs Salary bonus | 2 jobs 401(k) matching | 1 jobs Parental leave | 1 jobs Gear | 1 jobs Conferences | 1 jobs Flexible spending account | 1 jobs

Salary Composition

The salary for a Mid-level/Intermediate Data Analytics Consultant typically comprises a fixed base salary, performance-based bonuses, and additional remuneration such as stock options or profit-sharing. The fixed base salary is the largest component, often accounting for 70-80% of the total compensation package. Bonuses can vary significantly depending on the company’s performance and individual achievements, usually ranging from 10-20% of the base salary. Additional remuneration, such as stock options or profit-sharing, is more common in larger companies or tech-focused industries and can add another 5-10% to the total compensation. Regional differences also play a role; for instance, salaries in tech hubs like San Francisco or New York may be higher due to the cost of living and demand for skilled professionals.

Steps to Increase Salary

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

• Skill Enhancement: Continuously update your skills in emerging technologies and tools in AI/ML and data science. Specializing in niche areas like deep learning or natural language processing can make you more valuable.
• Advanced Education: Pursuing a master's degree or relevant certifications can enhance your qualifications and open up higher-paying opportunities.
• Networking: Build a strong professional network by attending industry conferences, joining relevant online communities, and engaging with thought leaders in the field.
• Performance Excellence: Consistently exceed performance expectations and take on challenging projects that demonstrate your value to the organization.
• Negotiation: When discussing salary, be prepared to negotiate by highlighting your achievements, market research, and the value you bring to the company.

Educational Requirements

Most mid-level data analytics consultant 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, business analytics, or a similar discipline is increasingly preferred, as it provides a deeper understanding of advanced analytical techniques and business acumen.

Helpful Certifications

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

• Certified Analytics Professional (CAP): Validates your ability to transform data into valuable insights.
• Google Data Analytics Professional Certificate: Offers foundational skills in data analysis.
• Microsoft Certified: Azure Data Scientist Associate: Focuses on using Azure for data science solutions.
• AWS Certified Machine Learning – Specialty: Demonstrates expertise in building, training, and deploying machine learning models on AWS.

Required Experience

Typically, a mid-level data analytics consultant is expected to have 3-5 years of relevant experience. This experience should include hands-on work with data analysis, statistical modeling, and the use of data visualization tools. Experience in a specific industry, such as finance, healthcare, or retail, can also be advantageous, as it provides domain-specific insights that are valuable in consulting roles.

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