Salary for Mid-level / Intermediate Data Strategist in United States during 2024

Salary details

The average mid-level / intermediate Data Strategist salary lies between USD 100,000 and USD 175,000 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: Nov. 3, 2024

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

The three most common job tag items assiciated with mid-level / intermediate Data Strategist job listings are Engineering, Data strategy and Architecture. 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:

Engineering | 11 jobs Data strategy | 10 jobs Architecture | 9 jobs Data management | 9 jobs Machine Learning | 8 jobs SQL | 8 jobs Data governance | 8 jobs Python | 6 jobs Research | 6 jobs Computer Science | 6 jobs Data quality | 6 jobs AWS | 5 jobs Data Analytics | 5 jobs Security | 5 jobs Testing | 5 jobs GCP | 5 jobs Snowflake | 5 jobs Databricks | 5 jobs R | 4 jobs Consulting | 4 jobs

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

The three most common job benefits and perks assiciated with mid-level / intermediate Data Strategist job listings are Career development, Health care and Salary bonus. 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 | 16 jobs Health care | 10 jobs Salary bonus | 10 jobs Equity / stock options | 7 jobs Flex hours | 6 jobs Flex vacation | 6 jobs Competitive pay | 5 jobs Parental leave | 4 jobs Startup environment | 4 jobs Conferences | 4 jobs 401(k) matching | 3 jobs Medical leave | 3 jobs Insurance | 3 jobs Wellness | 2 jobs Team events | 2 jobs Home office stipend | 2 jobs Transparency | 1 jobs Signing bonus | 1 jobs Snacks / Drinks | 1 jobs Pet friendly | 1 jobs

Salary Composition for a Mid-level Data Strategist

The salary for a Mid-level Data Strategist in the United States typically comprises 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 making up 10% to 20% of the total compensation. Additional remuneration, such as stock options, profit-sharing, or other benefits, can account for 5% to 10%.

Regional differences can also impact salary composition. For instance, tech hubs like San Francisco or New York may offer higher base salaries and stock options due to the competitive market. In contrast, companies in smaller cities might offer more substantial bonuses to attract talent. Industry-wise, tech companies and financial services often provide more lucrative stock options and bonuses compared to sectors like healthcare or education. Larger companies might offer more comprehensive benefits packages, while smaller startups could provide more equity-based compensation.

Steps to Increase Salary from This Position

To increase your salary from a Mid-level Data Strategist 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, natural language processing, or big data analytics can make you more valuable.

• Advanced Education: Pursuing further education, such as a master's degree or specialized certifications, can position you for higher-paying roles.

• Networking: Engage with industry professionals through conferences, workshops, and online platforms. Networking can open doors to new opportunities and provide insights into higher-paying roles.

• Leadership Roles: Seek opportunities to lead projects or teams. Demonstrating leadership skills can pave the way for promotions to senior roles with higher salaries.

• Industry Transition: Consider transitioning to industries known for higher compensation, such as finance or tech, if you are currently in a lower-paying sector.

Educational Requirements

Most Mid-level Data Strategist positions require at least a bachelor's degree in a relevant field such as computer science, data science, statistics, or mathematics. However, a master's degree in data science, business analytics, or a related field is increasingly preferred, as it provides a deeper understanding of data strategies and advanced analytical techniques.

Helpful Certifications

Certifications can enhance your credentials and demonstrate expertise in specific areas. Some valuable certifications include:

• Certified Analytics Professional (CAP): Validates your ability to transform data into valuable insights.
• Google Professional Data Engineer: Demonstrates proficiency in designing and managing data solutions on Google Cloud.
• AWS Certified Data Analytics – Specialty: Focuses on data analytics services on the AWS platform.
• Microsoft Certified: Azure Data Scientist Associate: Validates skills in applying data science and machine learning on Azure.

Required Experience

Typically, a Mid-level Data Strategist should have 3 to 5 years of experience in data analysis, data strategy, or a related field. Experience in handling large datasets, developing data-driven strategies, and using data visualization tools is crucial. Familiarity with programming languages like Python or R, and experience with data management platforms, is often required.

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