Data Strategist Salary in United States during 2023

Salary details

The average Data Strategist salary lies between USD 86,000 and USD 115,500 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. 17, 2024

Salary trend

Top 20 Job Tags for Data Strategist roles

The three most common job tag items assiciated with Data Strategist job listings are Statistics, Research and Machine Learning. Below you find a list of the 20 most occuring job tags in 2023 and the number of open jobs that where associated with them during that period:

Statistics | 24 jobs Research | 22 jobs Machine Learning | 16 jobs Data strategy | 16 jobs Mathematics | 15 jobs Agile | 14 jobs Python | 13 jobs SQL | 13 jobs Engineering | 13 jobs Data Analytics | 13 jobs Power BI | 13 jobs Data analysis | 13 jobs Excel | 12 jobs Computer Science | 12 jobs GitHub | 10 jobs Business Intelligence | 9 jobs Consulting | 9 jobs Architecture | 9 jobs Big Data | 8 jobs Testing | 8 jobs

Top 20 Job Perks/Benefits for Data Strategist roles

The three most common job benefits and perks assiciated with Data Strategist job listings are Career development, Startup environment and Health care. Below you find a list of the 20 most occuring job perks or benefits in 2023 and the number of open jobs that where offering them during that period:

Career development | 32 jobs Startup environment | 18 jobs Health care | 15 jobs Flex vacation | 12 jobs Flex hours | 10 jobs Competitive pay | 10 jobs Medical leave | 9 jobs Insurance | 9 jobs Parental leave | 8 jobs Team events | 8 jobs Equity / stock options | 6 jobs Wellness | 6 jobs 401(k) matching | 5 jobs Salary bonus | 5 jobs Home office stipend | 5 jobs Unlimited paid time off | 3 jobs Paid sabbatical | 3 jobs Fitness / gym | 1 jobs Transparency | 1 jobs Snacks / Drinks | 1 jobs

Salary Composition

The salary for a Data Strategist in the AI/ML/Data Science field 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 forms the majority of the total compensation package. Performance bonuses can vary significantly depending on the company's success and individual performance, often ranging from 10% to 20% of the base salary. Additional remuneration might include stock options, especially in tech companies or startups, and benefits like health insurance, retirement plans, and professional development allowances. The composition can vary by region, with tech hubs like Silicon Valley offering higher base salaries and stock options, while other regions might offer more balanced packages. Industry and company size also play a role; larger companies might offer more comprehensive benefits, while startups might compensate with equity.

Increasing Salary

To increase your salary from a Data Strategist position, consider the following steps:

• Skill Enhancement: Continuously update your skills in emerging technologies and methodologies in AI/ML and data science. Specializing in a niche area can make you more valuable.
• Advanced Education: Pursuing advanced degrees such as a Master's or Ph.D. in Data Science, AI, or a related field can open up higher-paying opportunities.
• Leadership Roles: Aim for leadership or managerial roles, which typically come with higher salaries. This might involve leading a team of data scientists or strategists.
• Networking: Build a strong professional network to learn about higher-paying opportunities and gain insights into industry trends.
• Certifications: Obtain relevant certifications that can validate your expertise and potentially lead to salary increases.

Educational Requirements

Most Data Strategist roles require at least a bachelor's degree in a relevant field such as Computer Science, Data Science, Statistics, Mathematics, or Engineering. However, many employers prefer candidates with a master's degree or higher, especially for more senior positions. A strong educational background in quantitative and analytical disciplines is crucial, as it provides the foundational skills needed for data analysis and strategic decision-making.

Helpful Certifications

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

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

These certifications can help you stand out in the job market and may lead to better job opportunities and salary prospects.

Required Experience

Typically, a Data Strategist position requires several years of experience in data analysis, data science, or a related field. Employers often look for candidates with 3-5 years of relevant experience, including hands-on experience with data modeling, machine learning, and data visualization tools. Experience in strategic planning and business analysis is also highly valued, as the role involves aligning data initiatives with business goals.

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