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Weekend Data Analyst Jobs in California (NOW HIRING)

The Data Analyst will leverage data on our users to build dashboards, answer key business questions, and tell compelling stories. This person will conduct in-depth analyses of our data, report on key ...

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 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 ...

Data Analyst

Riverside, CA · On-site

$142K/yr

Data Analyst Job Category: Information Technology Time Type: Full time Minimum Clearance Required to Start: Secret Employee Type: Regular Percentage of Travel Required: Up to 10% Type of Travel:

Conduct data analysis, data integration, and data management * Identify and develop new data sources and structure data models for monthly performance analysis and annual budgeting and forecasting

Data Analyst Experience: 5+Years of experience Location: Hyderabad Summary Data & Analytics function is dedicated to designing and delivering robust global data platforms that enable business ...

Data Analyst

San Francisco, CA · On-site

$123K - $160K/yr

Hayden AI seeks a Data Analyst to support a diverse set of stakeholders with Data and Analytics needs. This is a great opportunity for someone who wants to deliver a big impact: you'll be supporting ...

Data Analyst LOCATION: San Bruno, CA Duration: 6 to 12+ Months Rate: DOE Job Profile Summary Build and support the development and maintenance of a centralized data solutions for Omni Channel ...

Data Analyst

San Francisco, CA · On-site

$40 - $50/hr

The Data Analyst will leverage data on our users to build dashboards, answer key business questions, and tell compelling stories. This person will conduct in-depth analyses of our data, report on key ...

Job Code - Data Analyst Work Location - El Segundo CA 90245 (remote role but prefer local to be able to come in office) Total Hours - Contract initially up until 12/31/22 Description * SQL and ...

Job#: 3034483 Apex Systems is hiring a Data Analyst for a large healthcare client. Location: Fully remote anywhere in the Unted States. Employment Type: 6-month contract with possibility to extend or ...

... in data science, Statistics, Computer Science, Economics, or a related field. • 4+ years of industry experience in Payments, Risk, FinTech, or Marketplace Analytics. • Proven ability to lead ...

Supermicro is seeking a Data Analyst to join our team. In this role, you will work closely with Sales, Operations, Product Management, and Procurement teams to coordinate forecast meetings, foster ...

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 ...

Century Group is partnering with a client that is seeking a Data Analyst to join their team. Exact compensation may vary based on skills, experience, and location. Expected starting base salary of ...

Data Analyst Req ID: 10150773 Technology is at the heart of Disney's past, present, and future. Disney Entertainment and ESPN Product & Technology is a global organization of engineers, product ...

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Showing results 1-20

Weekend Data Analyst information

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 visualization, SQL, and Excel, often through online courses or certifications, regardless of age.

Is a data analyst still in demand?

Data analysts are currently 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 valuable, and the role often offers flexible schedules including weekend shifts for certain organizations.

Is AI replacing data analysts?

AI tools are automating certain data analysis tasks, such as data cleaning and basic reporting, but the role of a data analyst remains essential for interpreting complex data, making strategic decisions, and providing insights. Data analysts often use AI and machine learning tools to enhance their work, but human judgment and domain expertise are still critical components of the job.

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, Monday through Friday, but some roles may require weekend work to meet project deadlines or support 24/7 operations. Weekend work is more common in industries like finance, healthcare, or in roles involving real-time data monitoring. Flexibility depends on the employer and specific job responsibilities.

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 California? The most popular types of Data Analyst jobs in California are:
What job categories do people searching Weekend Data Analyst jobs in California look for? The top searched job categories for Weekend Data Analyst jobs in California are:
What cities in California are hiring for Weekend Data Analyst jobs? Cities in California with the most Weekend Data Analyst job openings:
Infographic showing various Weekend Data Analyst job openings in California as of June 2026, with employment types broken down into 1% As Needed, 58% Full Time, 36% Part Time, 4% Contract, and 1% Nights. Highlights an 82% Physical, 7% Hybrid, and 11% Remote job distribution.
Data Analyst

Data Analyst

FocusKPI Inc.

San Francisco, CA • On-site

Contractor

Posted 6 days ago


Job description

FocusKPI is looking for a Mid-level Data Analyst to join our client's growing team to spearhead analyses and provide meaningful insights into our users and product.
The Data Analyst will leverage data on our users to build dashboards, answer key business questions, and tell compelling stories. This person will conduct in-depth analyses of our data, report on key metrics, and provide recommendations that will have a direct impact on shaping future product development and company initiatives. The ideal candidate is an intelligent, sharp, detail-oriented, and highly quantitative individual who loves working with and analyzing data.
Work Location: Remote - anywhere in the US
Duration: 12-month contract with potential for extension depending on your performance and project needs in the future 
Pay Range: $40 - $50/hr
Responsibilities:

  • Be constantly curious and continue to pursue in-depth explorations of our datasets
  • Work with Product Managers and Engineers to uncover new business opportunities and better understand the levers of the business
  • Support new product launches, A/B testing, ramp-up recommendations, and root cause investigation
  • Leverage new techniques to investigate our data and incorporate external information to boost our knowledge of this market
  • Communicate complicated data findings clearly and concisely to our multi-disciplined teams
  • Collaborate with stakeholders, including product, marketing, finance, etc., on initiatives that improve our company-level KPIs and match our business priorities
  • Ad-hoc analysis to address urgent high-impact analysis for business stakeholders
Requirements:
  • Master's degree in computer science or any related field is required; Bachelor’s degree in any field that requires logical, creative thinking, STEM majors
  • Minimum 4+ years of industry quantitative analysis experience to build data-driven products for solving business problems
  • Experience with SQL and Python
  • Experience with a data visualization tool like Tableau
  • Familiarity with Product Analytics - understanding and tracking customer and user behavior using lenses like adoption, churn, cohorts, and funnel analysis
  • Experience collaborating with and understanding the needs of stakeholders from a variety of business functions, including product, marketing, finance, and so on
  • Experience in handling large-scale data with efficiency
  • Strong analytical and problem-solving skills
  • Experience in Financial Services or FinTech preferred
  • Previous work on evaluating product iterations or experiments


Thank you!
FocusKPI Hiring Team
Founded in 2010, FocusKPI, Inc. (FocusKPI) is a data science and technology firm specializing in predictive analytics practice and methodologies. FocusKPI is a US company headquartered in Silicon Valley, California, with an East Coast office in Boston, Massachusetts.

NOTICE: Please be aware of fraudulent emails regarding job postings, job offers and fake checks. FocusKPI's recruiting team will strictly reach out via @focuskpi.com email domain. If you have received fraudulent emails now or in the past, please report it to https://reportfraud.ftc.gov/ .
The domain @focuskpijobs.com is fraudulent and not related to FocusKPI. Please do not not reply or communicate to anyone with @focuskpijobs.com.

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About FocusKPI

Sourced by ZipRecruiter

Industry

Computing infrastructure providers, data processing, web hosting

Company size

51 - 200 Employees

Headquarters location

Santa Clara, CA, US

Year founded

2010