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Recent Grad Data Analyst Jobs in Berkeley, CA (NOW HIRING)

You love making informative graphs to show off how well your most recent experiment performed. * A collaborative approach to data analysis, a desire to share information and ideas, and an ability to ...

Primary Skills: Tableau (advanced), Data Analysis (advanced), SQL (intermediate), Python ... Most recently, we were recognized Stevie Employer of the Year 2025, SIA Best Staffing Firm to work ...

New Grad Product Engineer About Titan: Titan is an AI holding company transforming IT services with ... recently completed a CS degree from a rigorous program. You understand fundamentals - data ...

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Recent Grad Data Analyst information

See Berkeley, CA salary details

$41.6K

$101.2K

$166.5K

How much do recent grad data analyst jobs pay per year?

As of Aug 10, 2026, the average yearly pay for recent grad data analyst in Berkeley, CA is $101,188.00, according to ZipRecruiter salary data. Most workers in this role earn between $76,500.00 and $118,800.00 per year, depending on experience, location, and employer.

What are some common challenges recent graduates face when starting as data analysts, and how can they overcome them?

Recent graduates entering data analyst roles often encounter challenges such as adjusting to real-world datasets, which can be messy and incomplete compared to academic examples. They may also need to quickly learn company-specific tools or databases and adapt to collaborative workflows, including working with stakeholders from non-technical backgrounds. To overcome these challenges, new analysts should proactively seek mentorship, participate in team meetings to understand business objectives, and invest time in mastering both technical tools and effective communication. Embracing continuous learning and asking questions early can help accelerate their transition into a productive team member.

What are the key skills and qualifications needed to thrive as a recent grad data analyst?

To thrive as a Recent Grad Data Analyst, you need a strong grasp of statistics, data manipulation, and analytical thinking, often supported by a relevant degree in mathematics, statistics, or computer science. Familiarity with tools such as Excel, SQL, Python, and data visualization platforms like Tableau or Power BI is typically expected. Strong attention to detail, problem-solving abilities, and clear communication help you interpret data and convey insights to stakeholders. These skills are essential for transforming raw data into actionable information that drives business decisions.

What does a recent grad data analyst do?

A Recent Grad Data Analyst is an entry-level professional who uses data to help organizations make informed decisions. They are responsible for collecting, cleaning, and interpreting data using tools like Excel, SQL, or Python. Their work often involves creating reports, identifying trends, and supporting more senior analysts or business units with actionable insights. This role is ideal for individuals who have recently completed a degree in fields like statistics, mathematics, computer science, or related disciplines.
What are popular job titles related to Recent Grad Data Analyst jobs in Berkeley, CA? For Recent Grad Data Analyst jobs in Berkeley, CA, the most frequently searched job titles are:
What job categories do people searching Recent Grad Data Analyst jobs in Berkeley, CA look for? The top searched job categories for Recent Grad Data Analyst jobs in Berkeley, CA are:
What cities near Berkeley, CA are hiring for Recent Grad Data Analyst jobs? Cities near Berkeley, CA with the most Recent Grad Data Analyst job openings:
Infographic showing various Recent Grad Data Analyst job openings in Berkeley, CA as of August 2026, with employment types broken down into 59% Full Time, 33% Part Time, and 8% Temporary. Highlights an 92% In-person, and 8% Hybrid job distribution, with an average salary of $101,188 per year, or $48.6 per hour.

Senior Data Scientist

Anomali Inc.

Redwood City, CA • On-site

Full-time

Re-posted 15 days ago


Job description

Company Description
Anomali delivers earlier detection and identification of adversaries in your organizations network by making it possible to correlate tens of millions of threat indicators against your real time network activity logs and up to a year or more of forensic log data. Anomali's approach enables detection at every point along the kill chain, making it possible to mitigate threats before material damage to your organization has occurred.
Job Description
Anomali LABS is the research and data science team at Anomali. We are responsible for conducting research and rapid prototyping to push the limits of security data science and threat research. We are looking for exceptional data scientists who are willing and able to work in a fast-paced, agile development environment to create game changing data and security products. You will work closely with our threat researchers and security engineers to implement both customer facing data products, visualizations, and analytics. You will apply advanced machine learning and statical methods to solve hard security data analytic problems. Much of our work is exploratory and experimental.
Qualifications
Minimum Greatness Level
  • A passion for actionable data analysis and exploration. Your dream job is to sit in an IPython Notebook sifting through data and exploring relevant hypotheses all day long or brainstorming new data analytic techniques to identify security related anomalies in mountains of data.
  • Experience in applying a wide variety of Machine Learning techniques and an intuition for the strengths and weaknesses of each at turning big data into actionable intelligence.
  • You are confident using a scripting language like Python, Perl or Ruby and have the ability to pick up a new language or tool and make immediate use of it.
  • You are a great problem solver and a quick learner. You are able to frame a problem out of ill-defined requirements, identify and incorporate each piece of relevant data, plan and execute a path to the solution, and validate your results.
  • Great communication skills. You love making informative graphs to show off how well your most recent experiment performed.
  • A collaborative approach to data analysis, a desire to share information and ideas, and an ability to see the big picture

Extra Credit
  • A background in Applied Statistics, Optimization Theory, or Operations Research
  • A deep understanding of computer systems, networks, protocols, and information security concepts
  • Comprehensive understanding of Linux, big data and networking in modern, heterogeneous environments
  • Data Visualization isn't just a buzzword to you - it's an art. You are passionate about making the results of your analysis both intuitive and interactive.
  • Experience with distributed programming using Map Reduce, Spark, Shark, Hive, Pig, or Cascading
  • Has presented at a security, data science, or big data conference.
  • Prior experience working in startups

Additional Information
Remote work options are available on a case by case basis.