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

MetroSys is seeking a Data Analyst to support enterprise reporting and analytics initiatives for a financial services client. This role partners closely with a Senior Data Analyst and cross ...

Data Analyst

Santa Barbara, CA · On-site

$80K - $90K/yr

MetroSys is seeking a Data Analyst to support enterprise reporting and analytics initiatives for a financial services client. This role partners closely with a Senior Data Analyst and cross ...

Data Analyst

Moorpark, CA · On-site

$40/hr

Data Analyst We are seeking a skilled Data Analyst to join our team, responsible for building and maintaining reports for HR and IT stakeholders. The role involves identifying opportunities to ...

Strong experience in Data & Analytics / Data Engineering projects. * Proven experience working in Agile/Scrum environments. * Hands-on experience with user story creation, backlog management, and ...

Senior Data Engineer

Calabasas, CA · On-site

$122K - $151K/yr

Expert in data analysis and data quality frameworks. * Knowledgeable with BI tools such as Power BI and Tableau. * May occasionally work evenings and/or weekends. Compensation The anticipated pay ...

Senior Data Engineer

Calabasas, CA · On-site

$122K - $151K/yr

Expert in data analysis and data quality frameworks. * Knowledgeable with BI tools such as Power BI and Tableau. * May occasionally work evenings and/or weekends. Compensation The anticipated pay ...

Responsibilities Perform complex testing and data evaluation, such as HPLC, ELISA, etc ... weekends), as-needed (overtime eligible) Knowledge, skills and abilities Excellent verbal and ...

Responsibilities • Perform complex testing and data evaluation, such as HPLC, ELISA, etc. • ... weekends), as-needed (overtime eligible) Knowledge, skills and abilities • Excellent verbal and ...

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Weekend Data Analyst information

See Oxnard, CA salary details

$36K

$87.5K

$144K

How much do weekend data analyst jobs pay per year?

As of Jul 29, 2026, the average yearly pay for weekend data analyst in Oxnard, CA is $87,514.00, according to ZipRecruiter salary data. Most workers in this role earn between $66,200.00 and $102,700.00 per year, depending on experience, location, and employer.

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.

What are Weekend Data Analysts?

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.

Is 40 too old to become a data analyst?

Age is not a barrier to becoming a data analyst; many professionals transition into the field later in life. Success depends on acquiring relevant skills such as data analysis, SQL, and visualization tools, along with continuous learning and certification if needed.

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.

Do data analysts work on weekends?

Data analysts typically work during regular business hours on weekdays, but some roles may require weekend work to meet project deadlines or support 24/7 operations. Flexibility depends on the employer, industry, and specific job responsibilities, especially in roles involving real-time data monitoring or client support.

How to get a data analyst job quickly?

To secure a weekend data analyst position quickly, focus on building relevant skills such as proficiency in Excel, SQL, and data visualization tools like Tableau. Obtain certifications if possible, tailor your resume to highlight analytical experience, and apply to roles with flexible schedules or part-time options to increase your chances of rapid employment.

Is there still a demand for data analysts?

Data analysts remain in high demand across various industries due to the increasing reliance on data-driven decision making. Skills in data visualization, SQL, and statistical analysis are highly valued, and job growth is expected to continue as organizations prioritize data insights for strategic planning.

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 are the most commonly searched types of Data Analyst jobs in Oxnard, CA? The most popular types of Data Analyst jobs in Oxnard, CA are:
What are popular job titles related to Weekend Data Analyst jobs in Oxnard, CA? For Weekend Data Analyst jobs in Oxnard, CA, the most frequently searched job titles are:
What job categories do people searching Weekend Data Analyst jobs in Oxnard, CA look for? The top searched job categories for Weekend Data Analyst jobs in Oxnard, CA are:
What cities near Oxnard, CA are hiring for Weekend Data Analyst jobs? Cities near Oxnard, CA with the most Weekend Data Analyst job openings:
Infographic showing various Weekend Data Analyst job openings in Oxnard, CA as of July 2026, with employment types broken down into 85% Full Time, 11% Part Time, 1% Temporary, and 3% Contract. Highlights an 82% Physical, 8% Hybrid, and 10% Remote job distribution, with an average salary of $87,514 per year, or $42.1 per hour.

Data Analyst

MetroSys

Santa Barbara, CA • On-site

Full-time

Re-posted 24 days ago


Job description

MetroSys is seeking a Data Analyst to support enterprise reporting and analytics initiatives for a financial services client. This role partners closely with a Senior Data Analyst and cross-functional business teams to transform data into clear, actionable insights. The focus of this position is on dashboard development, report maintenance, and data storytelling rather than advanced data science or model development.
The ideal candidate enjoys working with data to uncover trends, support decision-making, and enhance customer and business visibility. This role will contribute to ongoing reporting needs while supporting ad-hoc analytical requests across multiple business lines, including marketing, operations, and client experience teams.Key Responsibilities
  • Support the Senior Data Analyst with data collection, validation, and preparation from relational data sources.
  • Maintain, enhance, and optimize existing dashboards and reports to ensure accuracy and usability.
  • Design and develop new visual reports and dashboards that clearly communicate trends, performance metrics, and business insights.
  • Partner with marketing and business stakeholders to support analysis related to customer behavior, acquisition, retention, product performance, and revenue opportunities.
  • Assist with ad-hoc analysis requests, translating business questions into meaningful visual outputs.
  • Ensure data presented to stakeholders is consistent, reliable, and aligned with business definitions.
  • Contribute to documentation and reporting standards to promote consistency and ease of use across the organization.
  • Support a culture of data-driven decision-making by delivering insights in a clear, concise, and compelling manner.
Required Qualifications
  • Bachelor's degree in a quantitative or analytical discipline such as statistics, mathematics, economics, marketing analytics, or a related field.
  • 3-5 years of professional experience in a data analysis, reporting, or analytics-focused role.
  • Hands-on experience using Tableau for dashboard creation, reporting, and data visualization (1-3 years).
  • Working knowledge of relational databases and structured data concepts.
  • Ability to work independently, manage multiple priorities, and adapt in a fast-paced environment.
  • Strong analytical thinking, attention to detail, and problem-solving skills.
  • Excellent communication skills with the ability to present data insights to non-technical audiences.
Preferred Experience
  • Prior experience supporting analytics in banking, financial services, or a regulated industry.
  • Exposure to marketing analytics, customer experience reporting, or performance measurement frameworks.