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Junior Data Analyst Entry Level Jobs in San Ramon, CA

We're looking for a Junior Data Scientist who loves exploring data, uncovering insights, and ... Comfortable using Python, R, and SQL to explore and analyze datasets. * Eager to collaborate with ...

Mentor junior data analysts and contribute to the development of their technical skills. * Document methodologies and processes to ensure that data science projects are scalable and sustainable ...

Senior Postmarket Surveillance Data Scientist

Alameda, CA · On-site

$90K - $180K/yr

  • Medical

  • Life

  • Retirement

... junior data scientists and provide technical/analytical guidance when needed Provides input into developing departmental and site processes and procedures. Guide and otherwise contribute to technical ...

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Junior Data Analyst Entry Level information

See San Ramon, CA salary details

$38.6K

$88.7K

$142.5K

How much do junior data analyst entry level jobs pay per year?

As of Aug 15, 2026, the average yearly pay for junior data analyst entry level in San Ramon, CA is $88,677.00, according to ZipRecruiter salary data. Most workers in this role earn between $63,700.00 and $91,100.00 per year, depending on experience, location, and employer.

What types of projects can a junior data analyst expect to work on during their first year?

As a Junior Data Analyst, you can expect to support a variety of projects, such as cleaning and organizing raw data, generating routine reports, and assisting with basic data visualizations. You'll likely collaborate with senior analysts and other departments to help identify data trends and provide actionable insights for business decisions. While your initial focus will be on learning company-specific tools and processes, you'll gradually take on more responsibility, contributing to larger projects and cross-functional teams as you gain experience.

Can a fresher join as a junior data analyst entry level?

Yes, many companies hire freshers as junior data analysts at an entry level. Candidates typically need basic skills in data analysis tools like Excel, SQL, or Python, and a relevant degree such as in statistics, mathematics, or computer science. Prior experience is not required, but demonstrating analytical skills and a willingness to learn can improve chances of hiring.

What is the difference between Junior Data Analyst Entry Level vs Data Analyst?

AspectJunior Data Analyst Entry LevelData Analyst
Required CredentialsAssociate's or Bachelor's degree in related field; basic knowledge of data toolsBachelor's degree often required; some roles prefer or require certifications like Microsoft Excel or SQL
Work EnvironmentEntry-level, supervised, team-based, often in corporate or consulting settingsMore independent, may involve complex data projects, higher responsibility
Employer & Industry UsageCommon in entry-level roles across industries like finance, marketing, healthcareUsed in similar industries, often as a step-up role with increased expectations

The main difference between a Junior Data Analyst Entry Level and a Data Analyst is experience and responsibility. Junior roles focus on learning and supporting data tasks, while Data Analysts handle more complex analysis independently. Both roles require similar educational backgrounds and are found in similar industries, but the Data Analyst position typically involves greater responsibility and expertise.

What does a junior data analyst do at the entry level?

A Junior Data Analyst at the entry level is responsible for collecting, processing, and analyzing data to help organizations make informed decisions. They often work under the guidance of senior analysts and assist with tasks such as data cleaning, creating basic reports, and visualizing data trends. Junior Data Analysts typically use tools like Excel, SQL, and data visualization software, and they help ensure data accuracy and consistency. This role is ideal for those who are detail-oriented and have a strong interest in working with numbers and technology.

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

To thrive as a Junior Data Analyst, you need foundational knowledge of statistics, data analysis, and a relevant degree such as in mathematics, economics, or computer science. Familiarity with Excel, SQL, and data visualization tools like Tableau or Power BI is typically expected. Attention to detail, problem-solving ability, and strong communication skills help you interpret data accurately and present findings effectively. These skills are important because they enable you to extract actionable insights from data, contributing to informed business decisions.

How much do junior data analysts get paid?

Junior data analysts typically earn an annual salary ranging from $50,000 to $70,000, depending on location, industry, and experience. Entry-level roles often require proficiency in tools like Excel, SQL, or Python, and may include benefits such as training and career development opportunities.

What job categories do people searching Junior Data Analyst Entry Level jobs in San Ramon, CA look for?

The top searched job categories for Junior Data Analyst Entry Level jobs in San Ramon, CA are:

What cities near San Ramon, CA are hiring for Junior Data Analyst Entry Level jobs?

Cities near San Ramon, CA with the most Junior Data Analyst Entry Level job openings:

Infographic showing various Junior Data Analyst Entry Level job openings in San Ramon, CA as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $88,677 per year, or $42.6 per hour.

Operations Junior Data & Staffing Analyst

Kahana and Feld LLP

San Francisco, CA • On-site

$35 - $40/hr

Full-time

Posted 8 days ago


Job description

The Operations Junior Data & Staffing Analyst supports the firm's leadership, practice groups, and administrative departments by collecting, organizing, and analyzing data across multiple systems to drive strategic and operational initiatives. This position works closely with Practice Group Management, Legal and People Operations, Finance, and Practice Group leadership to support workload management, utilization tracking, staffing coordination, and operational efficiency across the firm's practice groups.
This is a fast-paced, collaborative role that requires exceptional organizational skills and attention to detail, and the ability to liaise effectively between attorneys, firm leadership, and administrative departments. The Operations Junior Data & Staffing Analyst ensures that each group is well supported, aligned with firm priorities, and equipped to deliver outstanding client service.
Duties and Responsibilities
Data Analysis & Reporting
  • Pull, organize, and analyze data from the firm's finances, timekeeping, and billing systems to identify trends, support decision-making, and improve operational performance.
  • Run regular weekly, monthly, and ad hoc reports to support business goals across operations, client service, and client relations.
  • Provide firm leadership with insights and visual analyses derived from structured and unstructured data sources.

Data Management & Quality
  • Maintain and improve data hygiene across multiple databases, ensuring consistency, accuracy, and completeness.
  • Perform data cleanup and maintenance projects to enhance reporting reliability and system efficiency.
  • Gather, validate, and integrate data from multiple systems and locations into consolidated reports and dashboards.

System Integration & Automation
  • Build and manage SharePoint lists with advanced functionality, connecting data from multiple systems for leadership access and workflow automation.
  • Develop forms that automatically funnel data into spreadsheets or dashboards for real-time tracking and executive review.
  • Use APIs, PowerShell scripts, and automation tools to connect systems, push and pull data, and streamline processes.
  • Assist in the transition and quality assurance of data between the firm's management systems and new software platforms.

Business Intelligence & Visualization
  • Design, maintain, and enhance dashboards and visual reports in Power BI to monitor KPIs and business trends.
  • Translate complex data into clear, actionable insights for non-technical audiences.
  • Support firm initiatives in financial analysis, client relationship management, and business development through data-driven insights.

Operational Management
  • Compile, analyze, and maintain operational and staffing reports, including utilization, capacity, productivity, and matter assignment data.
  • Utilize Power Automate, Microsoft Lists, Microsoft Excel, and SharePoint skills to create automated processes and workflows for staffing, teams, and headcount ratios.
  • Monitor and analyze timekeeper workloads and assist in identifying staffing gaps, capacity concerns, and workflow trends to ensure a balanced workload while meeting client needs promptly and make recommendations to Practice Group leadership.
  • Coordinate with Legal and People Operations, Finance, Recruiting, and the Practice Group Leaders regarding attorney assignments and staffing needs.
  • Prepare recurring and ad hoc reports related to attorney productivity, billable hours, staffing allocation, and operational metrics.
  • Work with practice group leaders and firm leadership to understand business goals, plan for future needs, and allocate resources effectively. This includes tracking partner-associate ratios and providing staffing forecasts.
  • Set up and manage efficient workflows, task tracking, calendars, and systems for organizing legal information.
  • Serve as a key contact between partners, lawyers, and the firm's support departments (billing, people ops, IT, marketing, etc.) to assist the practice group in achieving its objectives.
  • Identify and participate in development and implementation of improvements to processes and workflows, leveraging the firm's technology resources and proven methods.

Qualifications
  • Bachelor's degree in Business Administration, Computer/Data Science, Data Mining and Analytics, Engineering, Statistics, Economics, or a related field.
  • 1+ years of experience in computer/data science, legal operations, staffing coordination, finance, or professional services operations.
  • Prior experience in a law firm or professional services setting is preferred.
  • Experience and working knowledge of SQL is required.
  • Advanced Excel (including pivot tables, formulas, macros, and data modeling).
  • Advanced SharePoint functionality, including list setup, permissions, or automation.
  • Power BI for dashboard creation and data visualization.
  • Experience with APIs and data integration across systems.
  • Experience with Python for data applications.
  • PowerShell scripting for workflow automation and data transfer.
  • Excellent organizational, analytical, and communication skills with the ability to explain complex data concepts to diverse stakeholders.
  • Strong attention to detail, data accuracy, and system integrity.

This job description reflects management's assignment of essential functions; it does not prescribe or restrict the tasks that may be assigned.
Equal Opportunity Employer
Kahana Feld provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.
Job Type
Full-Time, Non-Exempt
Supervisory Responsibilities
None
Work Location
Hybrid
Work Schedule
8:30am - 5:30pm Monday-Friday. Occasional weekends and holidays
Hourly Rate
$35.00 - $40.00
Physical Requirements
Primarily sedentary work. Exerting up to 40 pounds of force occasionally and/or negligible amount of force frequently or constantly to lift, carry, push, pull or otherwise move objects. Repetitive motion. Substantial movements (motions) of the wrists, hands, and/or fingers. The worker is required to have close visual acuity to perform an activity such as: preparing and analyzing data and figures; transcribing; viewing a computer terminal; extensive reading. Work is performed in an office environment and requires the ability to operate standard office equipment and keyboards. Must have the ability to walk short distances, and/or drive a vehicle to deliver and pick up materials. Work can be performed with or without accommodations.
Travel
5 - 10% domestic travel by ground and or air, dependent on firm needs
Salary Description
$35.00 - $40.00