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Weekend Data Analyst Jobs in Berkeley, CA (NOW HIRING)

SupportFinity

Data Analyst

San Francisco, CA · Remote

$1.0K - $1.2K/mo

As a Data Analyst, you will be responsible for collecting, analyzing, and interpreting complex data sets to help drive informed business decisions. You will work closely with cross-functional teams ...

The Rockridge Group

Data Analyst

Concord, CA

Data Analyst Position Summary We have a need for Data Analyst with experience in data analytics and metrics optimization. We will need you to assist in collecting data and putting it to practical use ...

infini-tek

Data Analyst

San Ramon, CA · On-site

$85 - $110/hr

Infinite Tek, Inc . is seeking a qualified professional to fill the positions of Data Analyst based in San Ramon, CA. Responsibilities will include: Interpret and analyze business requirements, to ...

New

Unchain Data

Senior Data Analyst

San Francisco, CA · On-site

$80 - $120/hr

The Role We're seeking our first data analytics hire to establish and own the data foundation for our rapidly growing GPU marketplace. This is a high-impact role where you'll work directly with ...

New

Infinitus

Data Analyst

San Francisco, CA · On-site

There are also opportunities to develop skills in AI-assisted analytics, analytics engineering (dbt), advanced experimentation design, and in-depth healthcare data governance, should these areas ...

Touro University

Data Analyst

Vallejo, CA

$74K/yr

Overview The Data Analyst will assist the AVP of Institutional Effectiveness and Academic Planning in leading the systematic collection, analysis, and distribution of data to guide decision-making ...

Touro University California

Data Analyst

Vallejo, CA · On-site

$74K/yr

Overview The Data Analyst will assist the AVP of Institutional Effectiveness and Academic Planning in leading the systematic collection, analysis, and distribution of data to guide decision-making ...

Touro University California

Data Analyst

Vallejo, CA

$74K/yr

Overview The Data Analyst will assist the AVP of Institutional Effectiveness and Academic Planning in leading the systematic collection, analysis, and distribution of data to guide decision-making ...

Cardless, Inc

Data Analyst

San Francisco, CA · On-site

$130K - $200K/yr

Cardless is looking for a Data Analyst / Senior Data Analyst to join our team and help shape the insights, processes, and decisions behind our co-branded credit card platform. In this role, you'll ...

Doist

Data Analyst

San Francisco, CA · On-site

$135 - $180/hr

You will perform critical analysis and implement data driven solutions that enable our engineering, product and leadership teams to deliver transformative software to the healthcare providers. What ...

New

Candid Health

Data Analyst

San Francisco, CA

$135K - $180K/yr

You will perform critical analysis and implement data driven solutions that enable our engineering, product and leadership teams to deliver transformative software to the healthcare providers. What ...

Touro University

Data Analyst

Vallejo, CA

$60K - $74K/yr

The Data Analyst will assist the AVP of Institutional Effectiveness and Academic Planning in leading the systematic collection, analysis, and distribution of data to guide decision-making and provide ...

Harper

Data Analyst

San Francisco, CA

$140K - $180K/yr

Data Analyst Harper is an AI-native commercial insurance company in San Francisco. We're not bolting AI onto insurance -- we're rebuilding the entire business as software, on a simple bet: turning ...

System One

Data Analyst

Daly City, CA · On-site

$25 - $28/hr

Data Analyst Location : San Francisco, CA Type : Contract-to-Hire Compensation: $25-$28/hour Contractor Work Model : Onsite Hours : Monday through Friday (8AM to 5PM) DATA ANALYST SUMMARY:

MIT RESOURCE

Data Analyst

San Francisco, CA · On-site

Data Analyst Location: either San Francisco or Charlotte, NC Duration: 12-18 months Duties & Responsibilities: The Candidate Must be responsible for key aspects of outbound email marketing and ...

System One

Data Analyst

Daly City, CA · On-site

$25 - $28/hr

Data Analyst Location : San Francisco, CA Type : Contract-to-Hire Compensation: $25-$28/hour Contractor Work Model : Onsite Hours : Monday through Friday (8AM to 5PM) DATA ANALYST SUMMARY:

System One

Data Analyst

Daly City, CA · On-site

$25 - $28/hr

Data Analyst Location : San Francisco, CA Type : Contract-to-Hire Compensation: $25-$28/hour Contractor Work Model : Onsite Hours : Monday through Friday (8AM to 5PM) DATA ANALYST SUMMARY:

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All JobsData Analyst JobsWeekend Data Analyst JobsWeekend Data Analyst Jobs in Berkeley, CA

Weekend Data Analyst information

See Berkeley, CA salary details

$41.6K

$101.2K

$166.5K

How much do weekend data analyst jobs pay per year?

As of Aug 21, 2026, the average yearly pay for weekend data analyst in Berkeley, CA is $101,188.00, according to ZipRecruiter salary data. Most workers in this role earn between $76,500.00 and $118,800.00 per year, depending on experience, location, and employer.

What is a weekend data analyst?

Weekend Data Analysts are professionals who specialize in collecting, processing, and analyzing data during weekends. They often work in industries that require continuous data monitoring or reporting, such as retail, finance, or customer service. Their responsibilities include preparing reports, identifying trends, and supporting decision-making processes outside of regular business hours. This role is ideal for organizations that need real-time data analysis or have operations extending through weekends.

What does a weekend data analyst do?

As a weekend data analyst, you work part-time and use analysis techniques to research trends and discover useful information from data. This job emphasizes getting results and creating reports from data, although the specific responsibilities of this position vary depending on the employer's needs. One of the most common duties of this job is working over the weekend to process data gained throughout the week to prepare a report summarizing the activity for that period. Companies that operate seven days a week often employ weekend data analysts to continue any data analysis tasks from earlier in the week, allowing the organization to function with no interruptions in its data analysis activities.

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

To thrive as a Weekend Data Analyst, you need a strong background in statistical analysis, data interpretation, and a relevant degree in fields such as mathematics, statistics, or computer science. Familiarity with analytical tools like Excel, SQL, Python, or data visualization platforms such as Tableau is typically required. Attention to detail, problem-solving abilities, and effective communication are crucial soft skills for clearly presenting insights and collaborating remotely. These skills ensure timely, accurate analysis and enable data-driven decisions during weekend operations.

What does a typical weekend shift look like for a weekend data analyst, and how do responsibilities differ from weekday analysts?

As a Weekend Data Analyst, you’ll often work independently or with a smaller team, focusing on real-time data monitoring, reporting, and rapid issue escalation. Weekend shifts can involve handling time-sensitive data tasks, supporting ongoing operations, and preparing summary reports for weekday teams. While core analytical skills remain the same, you may need to troubleshoot urgent data anomalies and ensure smooth handovers to weekday analysts. This role is ideal for individuals comfortable with autonomy and proactive communication.

What is the difference between Weekend Data Analyst vs Part-Time Data Analyst?

AspectWeekend Data AnalystPart-Time Data Analyst
CredentialsBachelor's in Data Science, Statistics, or related field; often some experienceSimilar credentials; may require less experience or specific certifications
Work EnvironmentTypically on-site or remote, working during weekends or specific hoursFlexible hours, can work weekdays or weekends, often remote
Employer & IndustryBusinesses needing weekend analysis, retail, healthcare, or financeVarious industries, including retail, marketing, and consulting
Search & Comparison IntentLooking for weekend-specific data rolesSeeking flexible or part-time data analysis jobs

The Weekend Data Analyst and Part-Time Data Analyst roles share similar credentials and work environments but differ mainly in scheduling. Weekend Data Analysts focus on weekend-specific hours, often for businesses needing weekend support, while Part-Time Data Analysts have flexible hours across the week. Both roles suit candidates seeking flexible work arrangements in data analysis.

Can you be a weekend data analyst as a side hustle?

Weekend data analysts can often work part-time or freelance schedules, making it feasible to pursue as a side hustle. They typically analyze data using tools like Excel, SQL, or Python, and may need to coordinate with their primary job to ensure availability during weekends. Flexibility depends on employer policies and project deadlines.
More about Weekend Data Analyst jobs

What are the most commonly searched types of Data Analyst jobs in Berkeley, CA?

The most popular types of Data Analyst jobs in Berkeley, CA are:

What are popular job titles related to Weekend Data Analyst jobs in Berkeley, CA?

For Weekend Data Analyst jobs in Berkeley, CA, the most frequently searched job titles are:

What job categories do people searching Weekend Data Analyst jobs in Berkeley, CA look for?

The top searched job categories for Weekend Data Analyst jobs in Berkeley, CA are:

What cities near Berkeley, CA are hiring for Weekend Data Analyst jobs?

Cities near Berkeley, CA with the most Weekend Data Analyst job openings:

Weekend Data Analyst jobs near you
Infographic showing various Weekend Data Analyst job openings in Berkeley, 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 $101,188 per year, or $48.6 per hour.

Data Analyst

SupportFinity

San Francisco, CA • Remote

$1.0K - $1.2K/mo

Full-time

Re-posted 10 days ago

Job description


We are looking for a talented Data Analyst to join one of our the most growing series A startup in the Bay Area. As a Data Analyst, you will be responsible for collecting, analyzing, and interpreting complex data sets to help drive informed business decisions. You will work closely with cross-functional teams to identify trends, patterns, and opportunities for improvement. If you have a strong analytical mindset, excellent problem-solving skills, and a keen eye for detail, we would love to hear from you!


Responsibilities

  • • Collaborate with cross-functional teams to identify and define data requirements for various projects.
    • Collect, clean, and analyze large datasets to extract meaningful insights and support data-driven decision making.
    • Develop and maintain data models, algorithms, and statistical models to uncover patterns and trends in data.
    • Create visually appealing and easy-to-understand reports and dashboards to present findings to stakeholders.
    • Continuously monitor data quality and accuracy, identifying and resolving any issues that may arise.
    • Stay updated with industry trends and best practices in data analysis techniques and tools.
    • Act as a trusted advisor, providing guidance and recommendations to improve business processes and outcomes based on data analysis.

Qualifications

  • • Strong analytical skills, with the ability to gather, organize, and interpret complex data sets.
    • Proficient in using data visualization tools to present findings in a clear and concise manner.
    • Excellent problem-solving abilities, with a keen eye for identifying patterns and trends within data.
    • Strong attention to detail, ensuring accuracy and reliability in data analysis and reporting.
    • Effective communication skills, both verbal and written, to collaborate with team members and present findings to stakeholders.
    • Proficient in programming languages such as Python or R, with the ability to manipulate and analyze data efficiently.
    • Adept at working with large datasets, utilizing statistical techniques to extract meaningful insights and drive informed decision-making.