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Recent Grad Data Analyst Jobs in California (NOW HIRING)

We are seeking a Data Analysis Lead to join our team in a remote role, supporting our sales ... Most recently, we were recognized Stevie Employer of the Year 2025, SIA Best Staffing Firm to work ...

This is an entry level role and great for a recent grad! Game Testers at PlayStation for The Show ... We are looking for individuals that are analytical thinkers, problem solvers, have excellent ...

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Recent Grad Data Analyst information

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$33.6K

$81.6K

$134.2K

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

As of Aug 6, 2026, the average yearly pay for recent grad data analyst in California is $81,558.00, according to ZipRecruiter salary data. Most workers in this role earn between $61,700.00 and $95,700.00 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.
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What job categories do people searching Recent Grad Data Analyst jobs in California look for? The top searched job categories for Recent Grad Data Analyst jobs in California are:
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Infographic showing various Recent Grad Data Analyst job openings in California as of July 2026, with employment types broken down into 87% Full Time, 8% Part Time, 1% Temporary, and 4% Contract. Highlights an 85% Physical, 6% Hybrid, and 9% Remote job distribution, with an average salary of $81,558 per year, or $39.2 per hour.

Recent Grad - Test Engineer/Test Technician

AttoTude

Menlo Park, CA

$26 - $35.25/hr

Other

Re-posted 14 days ago


Job description

AttoTude is a cutting-edge deep-tech startup (founded 2024) transforming how data moves inside AI data centers. Headquartered in Menlo Park, CA, we are pioneering nextgeneration terahertz (THz) interconnect technology for hyperscale computing. AttoTude is pioneering a new class of data center interconnects using terahertz (THz) signaling over guided media.

Our platform includes:

- AttoEngine - a custom ASIC enabling ultra-high-frequency communication
- AttoWire - a low-loss transmission medium optimized for THz signals

Key advantages:

- 200-800+ Gbps per lane
- Lower latency and power consumption
- Scalable, dense connectivity for AI clusters
 
What we're looking for:

Responsibilities:

Maintain and operate component-level RF/mmWave testbed

Perform probe measurements: S-parameters, linearity, noise figure, phase noise

Collect and analyze data from DC to 1 THz frequencies

Perform post-processing & statistical analysis to guide design decisions

Qualifications:

RF & mmWave testing (S-parameters, jitter, ENOB, compression)

Experience in handling, care and maintenance of GSSG and GSG RF probes, with both coaxial and waveguide feeds

Small & large-signal modeling for IC design

Statistical analysis & data interpretation

Programming: Python, MATLAB, C/C++, C#