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Recent Grad Data Analyst Jobs in Santa Barbara, CA

We are especially proud of our recent Great Place To Work ® certification, which reflects an ... About The Role Rincon Consultants, Inc. is seeking an entry-level GIS Analyst to join our Data and ...

Maintains financial reporting/cost accounting system, reviewing data uploads, and updating and ... years recent relevant experience SKILLS AND KNOWLEDGE: Working knowledge of accounting and ...

Financial Analyst IV

Goleta, CA · On-site

$117K - $176K/yr

Maintains financial reporting/cost accounting system, reviewing data uploads, and updating and ... years recent relevant experience SKILLS AND KNOWLEDGE: Working knowledge of accounting and ...

This is an entry-level position ideally suited for recent graduates who enjoy hands-on laboratory work, scientific experimentation, data analysis, and problem solving. Working closely with engineers ...

This is an entry-level position ideally suited for recent graduates who enjoy hands-on laboratory work, scientific experimentation, data analysis, and problem solving. Working closely with engineers ...

This is an entry-level position ideally suited for recent graduates who enjoy hands-on laboratory work, scientific experimentation, data analysis, and problem solving. Working closely with engineers ...

Message and data rates may apply. Are you looking to reach your full potential? Do you enjoy ... It doesn't matter if you're a recent high-school grad, a well-seasoned professional looking for a ...

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Recent Grad Data Analyst information

See Santa Barbara, CA salary details

$37.8K

$92K

$151.3K

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

As of Aug 26, 2026, the average yearly pay for recent grad data analyst in Santa Barbara, CA is $91,952.00, according to ZipRecruiter salary data. Most workers in this role earn between $69,500.00 and $107,900.00 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.

What are popular job titles related to Recent Grad Data Analyst jobs in Santa Barbara, CA?

For Recent Grad Data Analyst jobs in Santa Barbara, CA, the most frequently searched job titles are:

What cities near Santa Barbara, CA are hiring for Recent Grad Data Analyst jobs?

Cities near Santa Barbara, CA with the most Recent Grad Data Analyst job openings:

Infographic showing various Recent Grad Data Analyst job openings in Santa Barbara, CA as of August 2026, with employment types broken down into 1% As Needed, 79% Full Time, 18% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $91,952 per year, or $44.2 per hour.

Senior Scientist / Head of Informatics for Women's Brain Health Initiative in the Psychological & Br

Santa Barbara, CA • On-site


University of California Santa Barbara
5 - 10K employees

7.9

Company rating: 7.9 out of 10

Based on 7 frontline employees who took The Breakroom Quiz

210th of 623 rated colleges and universities

People enjoy working here

Good employer

Paid breaks


Other

Re-posted 10 days ago


Job description

Position description
The Bowers Women's Brain Health Initiative (WBHI) seeks a Senior Data Analyst / Head of Informatics to lead and scale the consortium's data science and neuroinformatics infrastructure. This individual will oversee data management, quality control, and analytic pipeline development for large-scale MRI and multimodal datasets across federally and privately funded studies.
This position is designed for a scholar who can build reproducible, scalable workflows while fostering a collaborative, open-science culture. The successful candidate will work closely with PIs, trainees, and research coordinators to ensure that WBHI's data ecosystem is rigorous, secure, and future-facing.
This role offers the opportunity to shape the informatics backbone of a growing research consortium focused on advancing women's brain health across the lifespan.
Informatics Leadership & Strategy
Develop and oversee WBHI's data architecture and informatics strategy across multiple grants and study sites.
Establish best practices for data governance, documentation, harmonization, and reproducibility.
Lead the design and implementation of scalable, modular analytic pipelines for structural, functional, and diffusion MRI, as well as multimodal data (e.g., clinical, behavioral, multi-omics).
Guide decisions around computing infrastructure (local HPC, cloud platforms, containerization).
Data Management & Quality Control
Implement standardized data ingestion, organization (e.g., BIDS-compliant), and version control systems.
Oversee automated and manual quality control (QC) pipelines for MRI and related datasets.
Develop dashboards or reporting tools for monitoring data completeness, QC metrics, and study progress.
Ensure compliance with institutional, federal, and sponsor data security and sharing requirements.
Pipeline Development & Advanced Analytics
Build and maintain reproducible workflows using tools such as Python, R, Bash, Docker/Singularity, Git, and workflow engines (e.g., Snakemake, Nextflow).
Integrate established neuroimaging tools (e.g., FSL, FreeSurfer, AFNI, ANTs, fMRIPrep, QSIPrep) into standardized processing streams.
Support advanced modeling approaches including network analysis, multivariate methods, machine learning, and longitudinal modeling.
Contribute to data harmonization across multi-site studies and large consortia datasets.
Team Building & Mentorship
Supervise data analysts and research staff as the informatics team grows.
Train students, postdocs, and staff in best practices for data management and reproducible research.
Foster a collaborative, transparent, and open-science culture aligned with leading neuroinformatics groups.
Partner with investigators on grant applications, including drafting data management and analysis plans.
Collaboration & Dissemination
Contribute intellectually to manuscripts, conference presentations, and grant proposals.
Engage with national and international neuroimaging and data science communities.
Promote open science principles, including code sharing, documentation, and reproducible workflows.
Qualifications
Basic qualifications (required at time of application)
-PhD in neuroscience, bioinformatics, biomedical engineering, statistics, computer science, or related field.
Additional qualifications (required at time of start)
-5+ years of experience working with neuroimaging data (structural MRI, fMRI, diffusion MRI).
One or more years of Demonstrated expertise in:
Python and/or R
Unix/Linux environments
Workflow automation and pipeline development
Version control (Git)
Preferred qualifications
-Excellent communication skills.
-Proven ability to manage complex datasets across multiple projects.
-Experience leading or contributing to large-scale neuroimaging initiatives or consortia.
-Familiarity with multimodal integration (e.g., imaging + clinical + hormonal + genetics).
-Experience with cloud computing platforms (e.g., AWS, GCP) and containerization.
-Background in longitudinal modeling or machine learning applications in neuroimaging.
-Experience supervising technical staff or trainees.
-Experience implementing BIDS standards and MRI quality control workflows.
-Strong understanding of reproducible research principles and computational best practices.
Application Requirements
Document requirements
  • Curriculum Vitae - Your most recently updated C.V.
  • Cover Letter
  • Samples of Scholarly Work - 1-3 samples of published, in print, submitted, or in-preparation scholarly work (article, book chapter, book, writing sample, etc.). - co-authorship on peer-reviewed publications

Reference requirements
  • 3 required (contact information only)

References for finalist(s) may be contacted by phone/email after interviews.
Apply link: https://recruit.ap.ucsb.edu/JPF03071
Help contact: pamelawilks@ucsb.edu
About UC Santa Barbara
As a condition of employment, the finalist will be required to disclose if they are subject to any final administrative or judicial decisions within the last seven years determining that they committed any misconduct.
  • "Misconduct" means any violation of the policies or laws governing conduct at the applicant's previous place of employment, including, but not limited to, violations of policies or laws prohibiting sexual harassment, sexual assault, or other forms of harassment or discrimination as defined by the employer.
  • UC Sexual Violence and Sexual Harassment Policy
  • UC Anti-Discrimination Policy for Employees, students and third parties
  • APM - 035: Affirmative Action and Nondiscrimination in Employment

Additionally, you will be required to comply with the University of California Policy on Vaccination Programs , as may be amended or revised from time to time. Federal, state, or local public health directives may impose additional requirements.
The University of California is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, protected veteran status, or other protected status under state or federal law.
Job location
Remote or Santa Barbara, CA


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