Salary for Senior-level / Expert Data Strategist during 2023

Salary details

The average senior-level / expert Data Strategist salary lies between USD 86,000 and USD 106,200 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: 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 AI/ML/Data Science typically comprises a base salary, performance bonuses, and additional remuneration such as stock options or profit-sharing. The composition can vary significantly based on region, industry, and company size. In tech hubs like Silicon Valley or New York, the base salary might be higher due to the cost of living and competitive market. Bonuses are often tied to individual and company performance, with larger companies offering more substantial bonuses. In industries like finance or healthcare, additional remuneration might include stock options or other long-term incentives, reflecting the strategic importance of data-driven decision-making in these sectors.

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 methodologies in AI/ML and data science. Specializing in niche areas like deep learning, natural language processing, or AI ethics can make you more valuable.
• Leadership Roles: Seek opportunities to lead projects or teams, demonstrating your ability to drive strategic initiatives and manage cross-functional teams.
• Networking: Build a strong professional network by attending industry conferences, participating in webinars, and joining relevant professional organizations.
• Advanced Education: Pursue advanced degrees or certifications that can enhance your expertise and credibility in the field.
• Negotiation: When discussing salary, be prepared to negotiate based on your contributions, market research, and the value you bring to the organization.

Educational Requirements

Most Senior-level Data Strategist roles require at least a bachelor's degree in a relevant field such as computer science, data science, statistics, or engineering. However, a master's degree or Ph.D. is often preferred, especially for roles that involve complex data analysis and strategic decision-making. Advanced degrees provide a deeper understanding of theoretical concepts and practical applications, which are crucial for high-level strategic roles.

Helpful Certifications

While not always mandatory, certain certifications can enhance your qualifications and demonstrate your commitment to professional development. Some valuable certifications include:

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

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

Required Experience

Typically, a Senior-level Data Strategist is expected to have at least 7-10 years of experience in data science, analytics, or a related field. This experience should include a proven track record of managing data-driven projects, developing data strategies, and influencing business decisions through data insights. Experience in leading teams and collaborating with cross-functional stakeholders is also highly valued.

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