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Junior Analyst Jobs in San Ramon, CA (NOW HIRING)

Junior Property Manager

San Jose, CA · On-site

$95K - $110K/yr

Junior Property Manager Salary Range: $95,000-$110,000 / DOE Build your commercial real estate ... financial variance analysis * Ability to read, interpret, and administer commercial leases

Junior Quality Engineer Foxconn is seeking a motivated and detail-oriented Junior Quality Engineer ... The ideal candidate is eager to learn, possesses strong analytical and problem-solving skills, and ...

This is a senior role for someone who can independently own complex analysis and judgment-based work, not simply support it, while also developing the junior analyst who reports to them. Reporting to ...

Jr. NPI Engineer

San Jose, CA · On-site

$27 - $30/hr

As a Junior NPI Engineer, you will provide technical support, guidance, and evaluation for new ... Strong analytical and problem-solving skills * Excellent communication and cross-functional ...

Ascend Talent Solutions - The Junior Assistant Property Manager will work closely with the Property ... Professional with exceptional problem solving and analytical skills. * Excellent customer service ...

Ascend Talent Solutions - The Junior Assistant Property Manager will work closely with the Property ... Professional with exceptional problem solving and analytical skills. * Excellent customer service ...

Lead data analysis projects and mentor junior analysts. Ensure data integrity and accuracy to support data-driven decision-making. Assist the OpEx team in developing and implementing process ...

Showing results 21-40

Junior Analyst information

See San Ramon, CA salary details

$17

$35

$59

How much do junior analyst jobs pay per hour?

As of Aug 9, 2026, the average hourly pay for junior analyst in San Ramon, CA is $35.89, according to ZipRecruiter salary data. Most workers in this role earn between $25.77 and $39.47 per hour, depending on experience, location, and employer.

What are some common challenges faced by junior analysts when transitioning from academic settings to professional environments?

Junior Analysts often find the transition from academic projects to real-world business scenarios challenging due to the increased pace, tighter deadlines, and the need to interpret ambiguous data. Unlike academic assignments with clear instructions, workplace projects may require more initiative, adaptability, and collaboration with cross-functional teams. Building strong communication skills to present findings effectively and seeking feedback from more experienced colleagues can help ease this transition and foster professional growth.

What is the difference between Junior Analyst vs Data Analyst?

AspectJunior AnalystData Analyst
Required CredentialsTypically a bachelor's degree in related field; some certificationsBachelor's degree often required; certifications like Microsoft Excel or SQL beneficial
Work EnvironmentEntry-level position, often in team settings, supporting senior staffMore independent role, analyzing data, creating reports, and providing insights
Employer & Industry UsageCommon in finance, marketing, consulting, and tech companiesWidely used across industries for data-driven decision making

The main difference between a Junior Analyst and a Data Analyst lies in experience level and scope of responsibilities. Junior Analysts are entry-level, supporting data tasks under supervision, while Data Analysts typically have more experience and handle independent data analysis and reporting. Both roles require similar educational backgrounds and are prevalent across various industries.

What is a junior analyst?

A junior analyst works with a senior analyst to perform research, gather and interpret data, and create and analyze models. In this career, your responsibilities depend on the industry in which you work. For example, if you are a junior analyst for a finance company, you may create and analyze economic or financial models. If you work for a business, you may generate marketing models or collect data on your employer’s target demographic. You may also work in healthcare, tech, or other industries. Regardless of your sector, you typically perform research, analyze data, and report conclusions to senior-level analysts.

What are the key skills and qualifications needed to thrive as a junior analyst, and why are they important?

To thrive as a Junior Analyst, you need strong analytical abilities, proficiency in data interpretation, and a bachelor’s degree in a relevant field such as finance, economics, or business. Familiarity with tools like Microsoft Excel, data visualization platforms (e.g., Tableau), and basic knowledge of statistical software are typically expected. Attention to detail, effective communication, and a proactive approach to problem-solving are standout soft skills. These capabilities are crucial for delivering accurate insights, supporting decision-making, and contributing effectively to team objectives.

What does a junior analyst do?

A Junior Analyst is an entry-level professional who assists in collecting, processing, and analyzing data to help organizations make informed business decisions. They typically work under the supervision of senior analysts, supporting tasks such as preparing reports, conducting research, and maintaining databases. Junior Analysts may work in fields like finance, marketing, consulting, or data analytics, and their role often serves as a stepping stone to more advanced analytical positions.

What comes after a junior analyst?

After a junior analyst role, the typical progression is to a mid-level analyst or associate position, where responsibilities increase and specialized skills are developed. With experience, analysts can advance to senior analyst, team lead, or managerial roles, often requiring additional certifications or expertise in data analysis tools like Excel, SQL, or Tableau.

How to get a job as a junior analyst?

To get a job as a junior analyst, candidates typically need a bachelor's degree in a relevant field such as finance, economics, or data analysis. Developing skills in Excel, SQL, and data visualization tools, along with gaining internship experience, can improve chances. Entry-level roles often require strong analytical abilities and attention to detail.
What are the most commonly searched types of Analyst jobs in San Ramon, CA? The most popular types of Analyst jobs in San Ramon, CA are:
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What job categories do people searching Junior Analyst jobs in San Ramon, CA look for? The top searched job categories for Junior Analyst jobs in San Ramon, CA are:
What cities near San Ramon, CA are hiring for Junior Analyst jobs? Cities near San Ramon, CA with the most Junior Analyst job openings:
Infographic showing various Junior Analyst job openings in San Ramon, CA as of August 2026, with employment types broken down into 1% Internship, 79% Full Time, 13% Part Time, 1% Temporary, and 6% Contract. Highlights an 81% Physical, 7% Hybrid, and 12% Remote job distribution, with an average salary of $74,653 per year, or $35.9 per hour.

Subject Matter Expert, Investment Banking

OpenAI

San Francisco, CA • On-site

$185K - $205K/yr

Full-time

Re-posted 3 days ago


Job description

About the Team
OpenAI is building AI systems that can help professionals perform complex, high-value work with greater speed, rigor, and creativity. Investment banking is one of the most demanding environments for knowledge work: bankers must synthesize fragmented information, exercise judgment under pressure, and produce precise, defensible models, analyses, and client materials.
Our team works across Research, Product, Engineering, and Go-to-Market to make OpenAI's models genuinely useful for these workflows. We translate real professional work into product requirements, evaluations, training signals, and repeatable customer solutions. We care not only whether a model can generate an answer, but whether it can deliver accurate, defensible work that experienced bankers can trust and use.
This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.
About the Role
We are looking for a Subject Matter Expert in Investment Banking to help define what excellent AI-assisted banking work looks like and turn that standard into better models and products. You will bring deep, current knowledge of how investment banking work is actually performed, including company and industry research, financial analysis and modeling, valuation, diligence, transaction execution, and the creation and review of client materials. You will use that expertise to design realistic tasks and evaluations, create and assess high-quality reference work, diagnose model failures, and help our technical teams improve model behavior and product experiences.
This is a hands-on individual-contributor role for someone who enjoys both doing the work and explaining what makes it good. You should be comfortable moving between an Excel model, a presentation, a source document, an evaluation rubric, a product prototype, and a conversation with researchers or customers. You will help us distinguish outputs that merely look plausible from work that is accurate, traceable, internally consistent, and ready for serious professional use.
In This Role, You Will
  • Define the quality bar for AI-assisted investment banking work across research, financial analysis, valuation, modeling, diligence, transaction execution, and client materials.
  • Translate real banking workflows into challenging, representative evaluation tasks with realistic inputs, constraints, deliverables, and success criteria.
  • Create and refine banker-grade reference artifacts, including financial models, valuation analyses, diligence materials, screening outputs, pitch books, committee materials, and transaction documents.
  • Develop rigorous rubrics and grading methods that assess financial correctness, analytical judgment, source quality, traceability, internal consistency, presentation quality, and practical usefulness.
  • Evaluate model outputs and end-to-end agent workflows, identify recurring failure modes, and translate findings into actionable feedback for Research, Engineering, and Product.
  • Partner with researchers and engineers on evals, graders, datasets, human-review processes, tools, and product integrations that improve model performance on financial work.
  • Work closely with product teams to identify the highest-value opportunities for AI in investment banking, prototype new workflows using OpenAI tools, and assess whether early experiences meet the needs of real users.
  • Engage with customers, design partners, and domain reviewers to understand real-world standards and constraints, support testing and adoption, codify domain knowledge, and ensure responsible financial-services deployment.

You Might Thrive in This Role If You
  • Have 2+ years of investment banking experience, including live transaction execution and the production of high-quality analyses, financial models, and client materials. Demonstrated ability and judgment matter more than title or tenure.
  • Have strong command of core banking workflows across M&A, capital raising, strategic advisory, or a closely related product or coverage area.
  • Can build and review financial analyses in Excel and produce polished PowerPoint materials, with a sharp eye for errors, weak assumptions, unsupported claims, inconsistent numbers, and poor presentation.
  • Understand how work and judgment evolve from junior analyst through director, and can identify where AI should automate execution, support decision-making, or remain subject to human review.
  • Exercise excellent analytical judgment and can assess whether an approach is appropriate, evidence is sufficient, and an output would withstand senior review.
  • Can translate expert intuition into clear standards, actionable feedback, rubrics, and guidance that others and evaluation systems can apply consistently.
  • Thrive in ambiguous, zero-to-one environments and are willing to create the first version of a task, model, deck, rubric, workflow prototype, or playbook.
  • Are curious about AI, comfortable collaborating with technical and non-technical stakeholders, and able to apply sound judgment around confidentiality, data entitlements, governance, regulation, and reputational risk.

Especially Strong Candidates May Also Have
  • Experience across multiple banking products, industry coverage groups, geographies, or transaction types, or in adjacent fields such as private equity, corporate development, equity research, private credit, leveraged finance, or restructuring.
  • A track record of improving financial workflows through automation, templates, knowledge systems, data tools, process redesign, or new technology.
  • Familiarity with evaluation design, quality assurance, benchmarking, data annotation, prompt design, or testing AI-enabled financial tools.

About OpenAI
OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.
We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.
For additional information, please see OpenAI's Affirmative Action and Equal Employment Opportunity Policy Statement.
Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.
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At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.