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

Operations Data Analyst

Dublin, CA · On-site

$49.65 - $50/hr

Operations Data Analyst Job ID:26-03997 Location: Dublin, CA Duration: 04 months on W2 contract Job Summary We are seeking an Operations Data Analyst to manage data analysis projects, reporting, data ...

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 ...

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 ...

Senior Data Analyst

Pleasanton, CA · On-site

$95K - $120K/yr

Build and implements Data Analytic solutions that serve as key decision support systems for the leadership of the company. A key for success in this role is a unique blend of technical skills ...

Sr Data Analyst

Pleasanton, CA · On-site

$95K - $120K/yr

Build and implements Data Analytic solutions that serve as key decision support systems for the leadership of the company . A key for success in this role is a unique blend of technical skills ...

Sr Data Analyst

Pleasanton, CA · On-site

$95K - $120K/yr

Build and implements Data Analytic solutions that serve as key decision support systems for the leadership of the company. A key for success in this role is a unique blend of technical skills ...

Sr Data Analyst - Store Analytics

Dublin, CA · On-site +1

$96K - $122K/yr

The Sr Data Analyst - Store Analytics serves as a strategic analytics partner to Stores leadership ... the weekend • Holiday Early Departure | close out early the business day before a company ...

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Weekend Data Analyst information

See Tracy, CA salary details

$36.6K

$89K

$146.4K

How much do weekend data analyst jobs pay per year?

As of Aug 27, 2026, the average yearly pay for weekend data analyst in Tracy, CA is $88,961.00, according to ZipRecruiter salary data. Most workers in this role earn between $67,300.00 and $104,400.00 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 Tracy, CA?

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

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

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

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

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

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

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

Operations Data Analyst

Dublin, CA • On-site

$49.65 - $50/hr

Other

Posted 16 days ago


Job description

Job Title: Operations Data Analyst Job ID:26-03997 Location: Dublin, CA Duration: 04 months on W2 contract
Job Summary
We are seeking an Operations Data Analyst to manage data analysis projects, reporting, data extracts, and automated data processes. The ideal candidate will have strong Excel, SAP, Power BI, and Power Apps experience and the ability to translate data into clear, actionable insights.
Key Responsibilities
  • Manage data analysis projects from initial requests through reporting and presentation.
  • Process, cleanse, analyze, and validate data for accuracy.
  • Develop automated data routines and reporting processes.
  • Create data extracts, reports, trends, and ad hoc analyses.
  • Collaborate with Data Management and business teams to support operational analysis.
  • Communicate clear, concise, and actionable findings to stakeholders.
  • Ensure data projects are completed accurately, on time, and within budget.

Top Skills
  • Advanced Microsoft Excel complex formulas, reporting, graphing, VBA.
  • SAP experience.
  • Power BI / Power Apps experience.
  • Strong data analysis and reporting skills.
  • Experience with SQL queries using Oracle or Business Objects preferred.

Required Qualifications
  • Bachelor s degree in Marketing, Business, Computer Science, Engineering, or related field, or equivalent experience.
  • 2+ years of relevant data analysis experience.
  • Strong analytical, problem-solving, and communication skills.

Preferred
  • Experience in utility operations.
  • Knowledge of SQL, Oracle, Business Objects, SAS, or programming languages.
  • Experience with data automation, cleansing, and reporting.

Compensation:
The hourly rate for this position is between $49.65-$50.00 per hour.
Factors which may affect starting pay within this range may include [geography/market, skills, education, experience and other qualifications of the successful candidate].