Salary for Senior-level / Expert Data Strategist in United States during 2023

Salary details

The average senior-level / expert Data Strategist salary lies between USD 86,000 and USD 119,636 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: Oct. 28, 2024

Salary trend

Top 20 Job Tags for Senior-level / Expert Data Strategist roles

The three most common job tag items assiciated with senior-level / expert Data Strategist job listings are Python, Research and Statistics. 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:

Python | 13 jobs Research | 13 jobs Statistics | 11 jobs Data analysis | 10 jobs Mathematics | 10 jobs Machine Learning | 9 jobs SQL | 9 jobs Power BI | 9 jobs Excel | 9 jobs Computer Science | 8 jobs Big Data | 7 jobs Business Intelligence | 7 jobs Security | 7 jobs Testing | 6 jobs Data strategy | 6 jobs R | 5 jobs Tableau | 5 jobs Data Analytics | 5 jobs Consulting | 5 jobs Agile | 5 jobs

Top 20 Job Perks/Benefits for Senior-level / Expert Data Strategist roles

The three most common job benefits and perks assiciated with senior-level / expert Data Strategist job listings are Career development, Flex vacation 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 | 15 jobs Flex vacation | 9 jobs Health care | 8 jobs Competitive pay | 7 jobs Medical leave | 7 jobs Parental leave | 6 jobs Wellness | 6 jobs Startup environment | 6 jobs Insurance | 6 jobs 401(k) matching | 5 jobs Equity / stock options | 5 jobs Flex hours | 5 jobs Home office stipend | 4 jobs Team events | 3 jobs Paid sabbatical | 3 jobs Salary bonus | 2 jobs Fitness / gym | 1 jobs Transparency | 1 jobs Unlimited paid time off | 1 jobs Fertility benefits | 1 jobs

Salary Composition

The salary for a Senior-level or Expert Data Strategist in the United States typically comprises several components: a fixed base salary, performance-based bonuses, and additional remuneration such as stock options or profit-sharing. The base salary is often the largest portion, providing a stable income. Bonuses can vary significantly depending on the company's performance and individual achievements. Additional remuneration might include stock options, especially in tech companies or startups, and can be a significant part of the total compensation package. The composition can vary by region, with tech hubs like San Francisco or New York offering higher base salaries and more lucrative stock options. Industry also plays a role; for instance, finance and tech sectors often provide higher bonuses compared to other industries. Company size can influence the package as well, with larger companies typically offering more comprehensive benefits and bonuses.

Increasing Salary

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

• Skill Enhancement: Continuously update your skills in emerging technologies and methodologies in AI/ML and data science. Specializing in niche areas can make you more valuable.
• Networking: Build a strong professional network. Attend industry conferences, webinars, and workshops to connect with leaders and peers.
• Leadership Roles: Seek opportunities to lead projects or teams. Demonstrating leadership can position you for promotions or higher-paying roles.
• Negotiation: When discussing salary, be prepared to negotiate. Research industry standards and be ready to articulate your value to the organization.
• Advanced Education: Pursue further education, such as a master's or Ph.D., which can open doors to higher-paying roles.

Educational Requirements

Most Senior-level Data Strategists hold at least a bachelor's degree in a relevant field such as computer science, data science, statistics, or mathematics. However, a master's degree or Ph.D. is often preferred, especially for expert-level positions. Advanced degrees provide a deeper understanding of complex data analysis and machine learning techniques, which are crucial for strategic roles.

Helpful Certifications

While not always required, certain certifications can enhance your credentials and demonstrate expertise:

• Certified Analytics Professional (CAP): Validates your ability to transform data into valuable insights.
• Google Professional Data Engineer: Focuses on designing, building, and operationalizing data processing systems.
• AWS Certified Machine Learning – Specialty: Demonstrates expertise in building, training, tuning, and deploying machine learning models on AWS.
• Microsoft Certified: Azure Data Scientist Associate: Validates your skills in applying data science and machine learning techniques on Azure.

Required Experience

Typically, a Senior-level Data Strategist is expected to have at least 5-10 years of experience in data science, analytics, or a related field. This experience should include a proven track record of managing data projects, developing data strategies, and delivering actionable insights. Experience in leading teams and collaborating with cross-functional departments is also highly valued.

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