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

Introlligent Inc.

Data Analyst

Sunnyvale, CA · On-site

Data Analyst Location : Sunnyvale, CA (T-W-T Hybrid) Local candidates are required for the position ... Undergraduate degree required; recent MBA or Master s graduate, or 2 4 years of experience in a ...

Introlligent Inc.

Data Analyst

Sunnyvale, CA · On-site

Undergraduate degree required; recent MBA or Master's graduate, or 2-4 years of experience in a ... Strong analytical instincts -- comfortable turning unstructured data into clear, actionable outputs ...

Infinitus

Data Analyst

San Francisco, CA · On-site

... recently named to Fast Company's World's Most Innovative Companies and Business Insider's top startups in healthcare. Your Role We're looking for a Data Analyst to help guide the evolution of our ...

Arthur Lawrence

Data Analyst I

San Francisco, CA · On-site

Arthur Lawrence is looking for a Data Analyst I one our clients in San Francisco, CA. Please find ... Recent Associations & Acknowledgments: * Been recognized as a 2023 TOP WORKPLACE by the Houston ...

Akraya Inc.

Data Analysis Lead : 26-01763

Santa Clara, CA · On-site +1

$60 - $66/hr

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 ...

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Recent Grad Data Analyst information

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$97K

$159.6K

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

As of Sep 1, 2026, the average yearly pay for recent grad data analyst in Sunnyvale, CA is $96,991.00, according to ZipRecruiter salary data. Most workers in this role earn between $73,400.00 and $113,800.00 per year, depending on experience, location, and employer.

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 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 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.

Are recent grad data analysts still in high demand?

Recent graduate data analysts are still in high demand as organizations increasingly rely on data-driven decision-making. Entry-level roles often require skills in SQL, Excel, and data visualization tools like Tableau or Power BI, with strong analytical and problem-solving abilities valued by employers.

How to be a recent graduate data analyst?

To become a recent graduate data analyst, obtain a relevant bachelor's degree such as in data science, statistics, or computer science. Develop skills in data analysis tools like Excel, SQL, and programming languages such as Python or R, and gain experience through internships or projects to build a strong portfolio.

Is it still worth it to become a recent grad data analyst in 2026?

Recent graduate data analysts remain in demand as organizations increasingly rely on data-driven decision-making, and proficiency in tools like SQL, Python, or R enhances job prospects. Entry-level roles often require strong analytical skills, a solid understanding of statistics, and the ability to communicate insights effectively, making it a viable career choice in 2026.

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Recent Grad Data Analyst jobs near you
Infographic showing various Recent Grad Data Analyst job openings in Sunnyvale, CA as of August 2026, with employment types broken down into 80% Full Time, and 20% Contract. Highlights an 80% In-person, and 20% Remote job distribution, with an average salary of $96,991 per year, or $46.6 per hour.

Data Analyst

Sunnyvale, CA • On-site

Introlligent Inc.
IT Services • 11 - 50 employees
Learn more about Introlligent Inc.external

Other

Posted 11 days ago

Job description

Job Title: Data Analyst

Location : Sunnyvale, CA (T-W-T Hybrid)

Local candidates are required for the position

Key Qualifications:

  • Undergraduate degree required; recent MBA or Master s graduate, or 2 4 years of experience in a field that demands complex quantitative analysis
  • Strong analytical instincts comfortable turning unstructured data into clear, actionable outputs and solving problems creatively; proficiency in Excel or Numbers required, Tableau, SQL, or Python a plus
  • Resourceful, self-directed, and organised detail-oriented without losing sight of the big picture, and comfortable operating in fast-paced, cross-functional environments
  • Strong written, verbal, and presentation skills across all levels
  • Able to build relationships, navigate matrixed organization, and move work forward through others
  • Familiarity with generative AI tools for productivity and research a plus

General Responsibilities:

  • Navigate ambiguous datasets across programs to answer business questions, identify opportunities to improve, and support decision making
  • Translate findings into clear, structured outputs for stakeholders and program reviews and leadership presentations
  • Contribute to project management tasks across teams including scheduling, documentation, and status tracking
  • Manage own deliverables and workload within assigned initiatives with minimal direction
  • Support ad hoc analytical needs and gaps across program tracks as they arise

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