Data Analyst Salaries

Data Analysts enjoy a promising earning potential in today's job market. On average, they earn around $88,232 per year. This salary can vary depending on experience and expertise. Entry-level positions start at about $42,000, allowing new professionals to gain valuable skills and knowledge. As analysts gain experience, their salaries increase significantly.

For instance, those with a few years of experience can earn around $63,173, while mid-level analysts may see salaries nearing $73,759. Experienced professionals often make $84,345 or more, with top earners even reaching over $158,450. This growth in salary reflects not only the demand for skilled analysts but also the vital role they play in helping organizations make data-driven decisions. With continued learning and advancement, Data Analysts can expect solid financial rewards in their careers.

1. Rochester, MN
   Average Salary: $116,796
   Rochester offers a growing healthcare industry, with major employers like Mayo Clinic. Data professionals here analyze health trends and improve patient care through smart data use.
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2. San Jose, CA
   Average Salary: $111,759
   In the heart of Silicon Valley, San Jose is home to tech giants like Adobe and Cisco. The demand for skilled analysts is high as companies leverage data to drive innovation.
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3. San Francisco, CA
   Average Salary: $108,918
   San Francisco's vibrant tech scene attracts top talent from around the world. Working here allows data specialists to support companies like Salesforce and Uber in making data-driven decisions.
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4. Seattle, WA
   Average Salary: $102,993
   With companies like Amazon and Microsoft, Seattle is a hub for data-driven roles. Analysts contribute to product development and customer experiences by interpreting vast amounts of data.
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5. Tampa, FL
   Average Salary: $100,832
   Tampa boasts a diverse economy with strengths in finance, healthcare, and tech. Data experts here analyze trends to support decision-making for major companies like HCA Healthcare.
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6. Charlotte, NC
   Average Salary: $97,473
   Charlotte is known for its strong banking and finance sector, led by Bank of America. Analysts in this city play a crucial role in risk management and market analysis.
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7. Los Angeles, CA
   Average Salary: $95,050
   Los Angeles combines entertainment and technology, creating unique opportunities for data analysis. Working with companies like Disney and Snap Inc. involves interpreting audience data to enhance engagement.
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8. Colorado Springs, CO
   Average Salary: $94,859
   Colorado Springs offers a mix of defense, technology, and healthcare sectors. Analysts contribute valuable insights to support mission-critical decisions in organizations like Northrop Grumman.
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9. Minneapolis, MN
   Average Salary: $94,487
   Minneapolis is home to many Fortune 500 companies, including Target and U.S. Bancorp. Data analysts play an essential role in shaping business strategies through comprehensive data analysis.
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10. Washington, DC
    Average Salary: $94,303
    The nation's capital provides numerous opportunities in government and consultancy roles. Data professionals here analyze information to inform policy and improve public services.
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1. Dandy
   Average Salary: $165,476
   Dandy offers a dynamic work environment for Data Analysts, focusing on data-driven decisions in healthcare. The company operates mainly in urban areas across the U.S., making a significant impact in local communities.
   




2. Wells Fargo
   Average Salary: $159,487
   At Wells Fargo, Data Analysts play a key role in financial services. The company has offices in several major cities, providing opportunities for professionals to thrive in a stable yet innovative atmosphere.
   




3. EY
   Average Salary: $153,246
   EY is known for its commitment to employee development. Data Analysts at EY collaborate on various projects across locations worldwide, giving them a chance to engage with different industries.
   




4. Citi
   Average Salary: $149,752
   Citi values data as a strategic asset. Data Analysts can expect to work in fast-paced environments, primarily in metropolitan regions, helping to drive financial decisions and innovations.
   




5. Blue Shield of California
   Average Salary: $142,529
   Blue Shield of California focuses on health insurance and wellness. Data Analysts support data strategies in their offices around California, making meaningful contributions to improving healthcare access.
   




6. Peraton
   Average Salary: $137,513
   Peraton specializes in technology solutions for national security. Data Analysts here engage with data critical to defense and intelligence operations, primarily in Washington D.C. and surrounding areas.
   




7. Apple
   Average Salary: $137,061
   Apple's culture of innovation attracts talented Data Analysts. Employees work on cutting-edge technology projects primarily in Cupertino, California, contributing to products known worldwide.
   




8. Mayo Clinic
   Average Salary: $133,358
   Mayo Clinic is a leader in medical research. Data Analysts help analyze health data, working mainly in Rochester, Minnesota, where they contribute to advancements in patient care and treatment.
   




9. Target
   Average Salary: $133,155
   Target aims for a data-driven approach to retail. Data Analysts at Target work in Minneapolis, Minnesota, playing a crucial role in enhancing customer experience and operational efficiency.
   




10. Pacific Gas and Electric
    Average Salary: $132,737
    Pacific Gas and Electric focuses on energy solutions. Data Analysts help analyze data relating to energy consumption and distribution, working mainly in California, which is crucial for sustainable energy practices.
    

• Advanced Skills: Learn advanced tools and programming languages like SQL, Python, and R. Mastering these can boost your value in the job market.
• Real-World Experience: Seek internships or projects. Gaining hands-on experience shows employers you can apply your knowledge effectively.
• Certifications: Obtain relevant certifications from recognized organizations. This not only improves your skills but also enhances your resume.
• Networking: Connect with professionals in the field. Attend industry events or join online groups. Building relationships can lead to job opportunities.
• Specialization: Consider specializing in a niche area, such as data visualization, machine learning, or business intelligence. Specialists are often in higher demand.