Data Strategist Salary in 2023

Salary details

The average Data Strategist salary lies between USD 85,000 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: Dec. 15, 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 composition for a Data Strategist in AI/ML/Data Science can vary significantly based on factors such as region, industry, and company size. Typically, the salary is divided into three main components: a fixed base salary, a performance-based bonus, and additional remuneration such as stock options or benefits.

• Region: In tech hubs like Silicon Valley or New York, the base salary might be higher due to the cost of living and competitive job market. In contrast, regions with a lower cost of living might offer a smaller base salary but could compensate with other benefits.
• Industry: Industries such as finance or healthcare may offer higher bonuses due to the critical nature of data-driven decisions in these fields. Tech companies might provide stock options as part of the compensation package.
• Company Size: Larger companies often have more structured compensation packages, including comprehensive benefits and bonuses. Startups might offer lower base salaries but compensate with equity or stock options.

Increasing Salary

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

• Skill Enhancement: Continuously update your skills in emerging technologies and methodologies in AI/ML. Specializing in niche areas can make you more valuable.
• Advanced Education: Pursuing a master's degree or Ph.D. in a related field can open up higher-paying opportunities.
• Networking: Engage with industry professionals through conferences, workshops, and online platforms to learn about new opportunities and trends.
• Leadership Roles: Aim for leadership or managerial roles that come with higher responsibilities and compensation.
• Negotiation: Improve your negotiation skills to better advocate for salary increases during performance reviews or when switching jobs.

Educational Requirements

Most Data Strategist roles 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 or higher is often preferred, especially for senior positions. Courses in business administration or management can also be beneficial, as they provide insights into strategic decision-making.

Helpful Certificates

While not always mandatory, certain certifications can enhance your profile and demonstrate your 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: Demonstrates your ability to design, implement, and maintain machine learning solutions 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 Data Strategist role requires 3-5 years of experience in data analysis, data science, or a related field. Experience in strategic planning, project management, and working with cross-functional teams is also highly valued. Demonstrated success in using data to drive business decisions is crucial.

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