How much does a Data Analyst make in Oakland, CA?
A Data Analyst in Oakland, CA can expect to earn a strong average yearly salary of $126,282. This figure reflects the market demand for data analysis skills in this vibrant city. Experienced professionals often see higher earnings, with the top earners in this field bringing home up to $180,500 annually.
The salary range for Data Analysts in Oakland offers a clear picture of what different levels of experience can expect. Entry-level positions may start around $55,280. However, as skills and experience grow, so do earnings, reaching up to $169,116 for seasoned analysts. This range demonstrates the potential for significant financial growth in the field of data analysis.
What are the highest paying cities for a Data Analyst near Oakland, CA?
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Sunnyvale, CA
Average Salary: $128,885
Sunnyvale offers a dynamic environment for data professionals. Companies like VMware and Intel rely on data-driven insights to improve their products. Job seekers can find diverse opportunities to work with cutting-edge technologies.
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Mountain View, CA
Average Salary: $125,212
Mountain View is home to tech giants such as Google. Here, data analysts play a crucial role in shaping company strategies. Professionals benefit from a collaborative culture and access to vast datasets.
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San Mateo, CA
Average Salary: $123,684
In San Mateo, data analysts often work with companies like Dropbox and LinkedIn. These firms value data for user experience and product development. Employees enjoy a mix of innovation and stability in their roles.
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Redwood City, CA
Average Salary: $123,166
Redwood City is a hub for tech innovation. Companies like GitHub and Salesforce depend on data insights to drive their growth. It's an exciting place for analysts looking to impact major tech firms.
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San Jose, CA
Average Salary: $120,776
San Jose hosts a range of companies that need data expertise. From Adobe to eBay, data analysts here work on diverse projects. The city's tech-centric environment offers numerous career advancement opportunities.
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San Francisco, CA
Average Salary: $117,762
San Francisco is a thriving city for data professionals. Companies such as Uber and Slack use data to make key decisions. Job seekers can expect a competitive salary and the chance to work on impactful projects.
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Santa Clara, CA
Average Salary: $115,825
Santa Clara is known for its tech industry, with companies like Intel and Applied Materials. Data analysts in this city focus on improving operational efficiency and product innovation.
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Fremont, CA
Average Salary: $111,875
Fremont offers a mix of tech and manufacturing opportunities. Companies like Tesla and Flex use data for product development and quality control. It’s a great place for analysts to apply their skills in various sectors.
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South San Francisco, CA
Average Salary: $110,484
South San Francisco is a key location for biotech and tech companies. Firms like Genentech and Gilead Sciences rely on data analysts. Professionals here contribute to cutting-edge research and development.
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Alameda, CA
Average Salary: $98,464
Alameda boasts a unique blend of tech and military influence. Companies like Oracle and various defense contractors need data expertise. Job seekers can expect diverse roles and a strong community focus.
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What are the best paying companies for a Data Analyst in Oakland, CA?
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thredUP
Average Salary: $135,650
thredUP is an online resale marketplace. The company is based in Oakland, CA. At thredUP, Data Analysts work on projects that shape the company’s growth strategy. They use data to improve customer experience and drive sales. They collaborate with teams across the organization to provide insights and recommendations.
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Pacific Gas and Electric
Average Salary: $135,279
Pacific Gas and Electric (PG&E) is a utility company serving Northern and Central California. It has its headquarters in San Francisco, but operates in Oakland, CA. As a Data Analyst at PG&E, one focuses on energy consumption patterns, customer usage, and operational efficiency. They analyze large datasets to help the company make informed decisions. Their work ensures the company provides reliable service to its customers.
What are the best paying Data Analyst related jobs in Oakland, CA?
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Clinical Data Management Director
Average Salary: $199,515
This role leads data teams at biotech firms. They ensure data quality and compliance. They work with companies like Gilead Sciences and Abbvie.
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Market Intelligence Analyst
Average Salary: $173,089
These analysts study market trends in tech hubs. They gather data to help companies make smart decisions. Firms like Salesforce and Adobe often hire them.
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Risk Analyst
Average Salary: $171,154
They assess risks for financial services companies. These analysts work with firms like JPMorgan Chase and Goldman Sachs. They focus on identifying potential threats.
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Machine Learning Engineer
Average Salary: $169,688
They build algorithms that learn from data. Tech giants like Google and Amazon seek their skills. They create models that improve over time.
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Data Scientist
Average Salary: $168,804
Data scientists analyze large datasets. They work at firms such as Oracle and IBM. They turn data into insights that drive business strategies.
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Data Engineer
Average Salary: $149,582
They design systems to store and manage data. Companies like Uber and Lyft need their expertise. They ensure data flows smoothly and securely.
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Quantitative Analyst
Average Salary: $142,706
They use math and statistics to solve financial problems. Firms like BlackRock and Fidelity hire them. They often work in hedge funds and banks.
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Systems Analyst
Average Salary: $140,786
They analyze business systems and needs. They work with firms such as Cisco and Intel. They ensure systems meet business goals and run efficiently.
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Business Analyst
Average Salary: $132,825
They study business processes and suggest improvements. Companies like Deloitte and Accenture hire them. They help businesses run more smoothly.
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Data Modeler
Average Salary: $126,750
They create data models that represent business needs. Tech companies like Microsoft and Amazon seek their skills. They design databases that support business processes.
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