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

Operations Data Analyst

Oakland, CA · On-site

$77 - $82/hr

Bachelor's degree in Data Analytics, Statistics, Computer Science, Business, Engineering, or a related field (or equivalent experience). * Demonstrated experience building and maintaining dashboards ...

MW Partners is currently seeking a Data Analyst to work for our client who is a global leader in multimedia and creativity software products. Responsibilities and duties: * Introduction: To enhance ...

Operations Data Analyst

Dublin, CA · On-site

$43.85 - $48.85/hr

Manage standard, routine data analysis projects with limited supervision from initial request to presenting data results ensuring that the project is completed within budget and on-time. Work with ...

Operations Data Analyst

Dublin, CA · On-site

$43 - $48/hr

Manage standard, routine data analysis projects with limited supervision from initial request to presenting data results ensuring that the project is completed within budget and on-time. * Work with ...

Data Analyst II

San Francisco, CA · Hybrid

$93K - $117K/yr

Our Data Scientists, Analysts, and Engineers work together to make data-and insights derived from data-a core asset across the company. What you'll do As a Data Analyst II (DA), you will play a ...

Verdantas is seeking a Data Analyst I who is eager to support stormwater invoicing and apply data analytics to real-world projects across our teams. What the role will do: Assist with collecting ...

As an Optimization Data Analyst, you will independently lead complex analyses, support automation and experimentation projects, and collaborate with commercial and product stakeholders to deliver ...

New

The position requires deep technical analysis and troubleshooting of integrated systems, identifying root causes, and developing solutions using various data technologies. Key Responsibilities • ...

Verdantas is seeking a Data Analyst I who is eager to support stormwater invoicing and apply data analytics to real-world projects across our teams. What the role will do: • Assist with collecting ...

As an Optimization Data Analyst, you will independently lead complex analyses, support automation and experimentation projects, and collaborate with commercial and product stakeholders to deliver ...

Posted today

As an Optimization Data Analyst, you will independently lead complex analyses, support automation and experimentation projects, and collaborate with commercial and product stakeholders to deliver ...

New

As an Optimization Data Analyst, you will independently lead complex analyses, support automation and experimentation projects, and collaborate with commercial and product stakeholders to deliver ...

New

Data Analyst II

San Francisco, CA · On-site

$93K - $117K/yr

Our Data Scientists, Analysts, and Engineers work together to make data-and insights derived from data-a core asset across the company. What you'll do As a Data Analyst II (DA), you will play a ...

Director Data Science + Analytics About the Role Join Midi Health as a Growth Analyst. As we scale our D2C and B2B segments (partnering with health systems and employers) and deepen our analytical ...

Director Data Science + Analytics About the Role Join Midi Health as a Growth Analyst. As we scale our D2C and B2B segments (partnering with health systems and employers) and deepen our analytical ...

As a Lead Data Analyst , you will be the primary technical lead for our most significant clients and a driving force behind our team's data and analytics excellence. You will move beyond standard ...

Showing results 41-60

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.

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:

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.

Operations Data Analyst

CYNET SYSTEMS

Oakland, CA • On-site

$77 - $82/hr

Contractor

Re-posted 19 days ago


Job description

Job Overview:

Pay Range: $77.14hr - $82.14hr

Requirement/Must Have:

  • Bachelor’s degree in Data Analytics, Statistics, Computer Science, Business, Engineering, or a related field (or equivalent experience).
  • Demonstrated experience building and maintaining dashboards in Power BI.
  • Strong SQL skills and experience working with structured datasets.
  • Excellent written and verbal communication skills, with a proven ability to explain complex data clearly.
  • Strong ability to interpret data, identify trends, and generate actionable insights.
  • Ability to clearly communicate complex data findings to both technical and non-technical stakeholders.
  • Experience working in cross-functional teams and translating business needs into data-driven solutions.

Responsibilities:

  • Analyze business data to identify trends, patterns, risks, and opportunities for operational and strategic improvements.
  • Demonstrate broad expertise in data processing and analysis, applying analytical techniques to a wide range of business questions.
  • Respond to ad hoc and recurring data requests with accuracy, clarity, and timeliness.
  • Collect, clean, validate, and integrate data from multiple sources to ensure accuracy and consistency.
  • Extract and analyze data from SAP to support planning, forecasting, and decision-making.
  • Manage data extraction and transfer from databases to support operational analysis across teams.
  • Create automated data routines and processes to ensure efficient, repeatable reporting and data delivery.
  • Develop and maintain dashboards, reports, and visualizations using Power BI to clearly communicate insights and performance metrics.
  • Utilize Foundry for advanced analytics, data modeling, and analytical workflows.
  • Apply GIS tools for spatial data analysis and mapping to support location-based decision-making.
  • Leverage Copperleaf for asset investment planning, lifecycle cost analysis, and value-based decision support.
  • Clearly communicate analytical findings, assumptions, and recommendations to diverse audiences.
  • Translate complex data into concise, compelling narratives that support informed decision-making.
  • Collaborate with cross-functional teams to understand business needs, identify challenges, and deliver data-driven solutions.
  • Act as a trusted partner to stakeholders by helping shape analytical questions and clarify insights.

Nice to Have:

  • Hands-on experience using Foundry for data analysis, data modeling, or workflows.
  • Experience with Copperleaf.

Skills:

  • Data analytics (Python, Excel, conduct data queries as needed).
  • Power BI (advanced skills, ability to create executive boards and day-to-day dashboards for business analytics).
  • SAP.
  • Microsoft Excel and Power Query as needed.
 

Founded in 2010 and headquartered in the Washington, DC metro area, Cynet Systems Inc. is a leading staffing and recruiting powerhouse. Proudly recognized as a nationally and locally certified diversity firm, Cynet delivers agile, scalable talent solutions across industries. With an active footprint in all 50 U.S. states and Canada, we support thousands of consultants through our expansive, high-performing recruitment engine operating across North America and Asia—ensuring speed, quality, and consistency in every hire.

Cynet Systems logo

About Cynet Systems

Sourced by ZipRecruiter

Cynet Systems Inc is a staffing and recruiting corporation nestled in Ashburn, VA, USA. Established in 2010, the company operates within the Information Technology and Services sector, specializing in providing effective workforce solutions to different business needs, including IT consulting, direct hire, and contract staffing services. Through the years, Cynet Systems has built an impressive portfolio, going beyond borders and expanding its operations internationally in Canada and India. Rooted in its core values of teamwork, leadership, and commitment, Cynet Systems helps businesses unlock their full potential by providing versatile and competent professionals that perfectly align with their needs. Fueled by their unwavering mission to deliver top-tier talent to businesses worldwide, Cynet Systems garnered various recognitions including SIA's fastest-growing staffing firms and Best Place to Work in Virginia for 2019.

Industry

It services

Company size

501 - 1,000 Employees

Headquarters location

Sterling, VA, US

Year founded

2010

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