Data Analyst Pay Rates, Location, and More

Data Analyst Job Trends

Hourly Pay Rates in San Francisco Bay Area:






*Estimated Pay Rates




Data Analyst Jobs in Silicon Valley
Active Candidates Near You
Map of Data Analyst Jobs in Silicon Valley

What is the median pay or hourly rate for a Sr. Data Analyst?

The median pay / hourly rate for a Sr. Data Analyst consultant in the Bay Area / Silicon Valley area is $64.44, with a standard deviation of $12.39. This means that 68% of consultants will be within a range of $51.95 – $76.94.

At any given moment of time there is roughly a 0-1% active rate, meaning you can expect roughly 0-1% of Data Analyst to be looking for a job at any given time.


Related Job Searches: Featured Listings

Business Systems Analyst I
South San Francisco, CA
This is a Business Re-Engineering/Enterprise Applications role. Job requires subject matter expertise in managed markets, in payer and provider reimbursements, and in pricing and market access strategy, for the biopharmaceutical industry.

SharePoint Business Systems Analyst
South San Francisco, CA
Business Re-Engineering / Enterprise Applications. The Business Systems Analyst for client’s Research and Early Development (gRED) IT group will help capture, document, and deliver new features and enhancements to the SharePoint systems. gRED IT supports the Development Sciences and the Early Clinical Development groups.

Sr. IT Project Manager I
South San Francisco, CA
This position provides project management to gRED IT. As the IT Project Manager, your primary responsibilities include the planning, execution and monitoring of IT projects in the gRED Research Labs portfolio.

Business Systems Analyst
South San Francisco, CA
The IT Business Systems Analyst will be responsible for working closely with partners from the IT group in order to understand and document strategic drivers and tactical needs. The IT Business Systems Analyst will ensure that the implementation teams can provide solutions that meet the business need with the necessary stability, usability, and scalability.

Business Systems Analyst
South San Francisco, CA
Clinical development is rapidly intersecting with technologies that have classically been the domain of high-tech. These technologies can be transformative for clinical trials. But, identifying appropriate solutions demands careful analysis and experimentation. Experimentation that often goes considerably beyond existing practices.

Validation Specialist III
South San Francisco, CA
Software Engineering & Development. The IT Validation Engineer or Specialist will be responsible for working closely with partners from EDC Data Capture Team. Experience at Seniorlevel is required.

IT Systems Analyst
Pleasanton, CA
Business Re-Engineering / Enterprise Applications. Lead instrument data acquisition activities across RMS registrational and non-registrational studies. Serve as a technical SME for all instruments related topics.

Business Systems Analyst
South San Francisco, CA
Business Re-Engineering / Enterprise Applications. Looking for someone with 5 – 7 years experience as business systems analyst. Interpersonal skills, communication skills, and ability to work with stake holders who are scientists and other lab personnel. Be detail oriented. Jira experience and Technical background are very helpful.

[Apply Here…]


Featured Job Listing Locations

Santa Clara, CA

Pleasanton, CA

South San Francisco, CA

Redwood Shores, CA

Mountain View, CA

Newark, CA

Redwood City, CA


Data Analyst Skills and Requirements

  • Analytical Skills

    Data analysts work with large amounts of data. You will need to see through the data and analyze it to find conclusions.

  • Communications Skills

    As a Data Analysts you will need to present your findings or translate the data into something understandable for others to read.

  • Critical Thinking

    Data Analysts must look at the numbers, trends, and data and come to conclusions based on the findings.

  • Attention to Detail

    Data must be precise.

  • Math Skills

    Data analysts need math skills to estimate numerical data.

What Are a Data Analyst’s Typical Day to Day Activities?

A Data analyst’s main responsibilities include building reporting/analytics dashboards, and helping teams understand how they are doing. A Data Analyst also provides account managers with relevant data points to set them up for success. A Data Analyst needs to be able to show why they are either performing poorly or performing well, through the use of data.

Data analysts translate numbers into plain English. A data analyst’s job is to take that data and use it to help companies make better business decisions.

Data Analyst Duties and Responsibilities

  • Interpreting data, analyzing results and using statistical techniques
  • Developing and implementing data analyses, data collection systems and other strategies. Strategies that optimize statistical efficiency and quality
  • Acquiring data from primary or secondary data sources. Maintaining databases

Qualities of a Good Data Analyst

  • Methodical

    A good data analyst must be systematic in their approach to problem solving. Data Analysis requires someone who is able to clearly instruct others on methodologies. What to do with the data presented to them. Any ambiguity could lead to a misinterpretation of the data.

  • Self-Motivation

    A good data analyst is able to look at the data and tell why it is important. The reports should reflect their understanding and cater to the needs of those who will read them. A good data analyst is proactive and does what they need to do without waiting to be told.

  • Imaginative

    A good data analyst tells a story with the data to help others better understand the data and its importance.

  • Skeptical

    A data analyst should have a healthy skepticism that no data gathering process is perfect. And, that all data sets will have their flaws. Data Analysts need to be able to recognize flaws in their data. They need to be able to explain why these flaws can possibly skew the results.

  • Capable of Spotting Patterns

    A good data analyst can look at different data sets and identify trends and decipher what triggers those trends. A good data analyst can figure out how the company can either replicate or avoid these trends given the pattern.

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