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Weekend Data Analyst Jobs in Chesterfield, MO (NOW HIRING)

Data Analyst Job Location: Remote Interview: Virtual Job Duration: 6 Months Contract Overview: We are seeking a Data Analyst with strong SQL and Python expertise to support data validation, data ...

Data Analyst

Saint Louis, MO · On-site

$65 - $100/hr

We seek the talent of a dynamic Data Analyst who seeks to bring their A game to a collaborative team of talented professionals. You are not afraid to make impact where your opinion matters in a ...

We seek the talent of a dynamic Data Analyst who seeks to bring their A game to a collaborative team of talented professionals. You are not afraid to make impact where your opinion matters in a ...

Data Analyst

Creve Coeur, MO · On-site

$71 - $135/hr

Data Analyst As Bayer Crop Science's Digital Farming arm, we deliver sustainable digital solutions using the latest agronomic science, data science, engineering, and real-world farming experience.

Data Analyst As Bayer Crop Science's Digital Farming arm, we deliver sustainable digital solutions using the latest agronomic science, data science, engineering, and real-world farming experience.

Data Analyst As Bayer Crop Science's Digital Farming arm, we deliver sustainable digital solutions using the latest agronomic science, data science, engineering, and real-world farming experience.

Data Analyst As Bayer Crop Science's Digital Farming arm, we deliver sustainable digital solutions using the latest agronomic science, data science, engineering, and real-world farming experience.

This position will be responsible for understanding and analyzing complex business & data requirements. Prepare detailed functional specifications that drive the design of data model and ETL ...

Company Description Description : • This position will be responsible for understanding and analyzing complex business & data requirements. • Prepare detailed functional specifications that drive ...

Job Summary The IT Data Analyst position is an exciting opportunity to work on multiple applications and is responsible for multiple technologies and interfaces within the organization. Many of our ...

The Analyst will investigate data and operational issues, identify root causes, collaborate with stakeholders, and drive the resolution of compliance-related exceptions. This role is ideal for ...

Data Analyst Senior

Saint Louis, MO · On-site

$75 - $95/hr

About the Role CLA is hiring a Data Analyst Senior to leverage the Microsoft Power Platform and scripting languages such as R or Python to clean, analyze, and visualize data for internal and external ...

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Weekend Data Analyst information

See Chesterfield, MO salary details

$33.7K

$81.8K

$134.6K

How much do weekend data analyst jobs pay per year?

As of Aug 26, 2026, the average yearly pay for weekend data analyst in Chesterfield, MO is $81,793.00, according to ZipRecruiter salary data. Most workers in this role earn between $61,900.00 and $96,000.00 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 Chesterfield, MO?

The most popular types of Data Analyst jobs in Chesterfield, MO are:

What job categories do people searching Weekend Data Analyst jobs in Chesterfield, MO look for?

The top searched job categories for Weekend Data Analyst jobs in Chesterfield, MO are:

What cities near Chesterfield, MO are hiring for Weekend Data Analyst jobs?

Cities near Chesterfield, MO with the most Weekend Data Analyst job openings:

Data Analyst

Stellar IT Group

Saint Louis, MO • On-site

Contractor

Re-posted 7 hours ago


Job description

Overview:
Job Title: Data Analyst
Job Location: Remote
Interview: Virtual
Job Duration: 6 Months Contract
Overview:
We are seeking a Data Analyst with strong SQL and Python expertise to support data validation, data quality, and exploratory data analysis. This role focuses on ensuring data is accurate, reliable, and structured for downstream analytics and reporting.
Note: This is not a Data Engineer role. Candidates must have a strong analytics and data validation background.
Key Responsibilities
  • Perform data validation and quality checks using SQL and Python
  • Conduct exploratory data analysis (EDA) to identify trends, anomalies, and insights
  • Analyze data structures, relationships, and lineage to ensure data integrity
  • Ensure data is usable, consistent, and reliable for analytics, BI, and business teams
  • Support data manipulation, reporting, and downstream data consumption
  • Collaborate with stakeholders to understand data requirements and usage

Required Qualifications
  • Bachelor's degree (Master's or PhD preferred)
  • 5+ years of relevant Data Analyst experience
  • Strong hands-on experience with SQL and Python (data validation, not just querying)
  • Deep understanding of data structures and data lifecycle, including:
    • Data shape, relationships, and storage
    • Data quality, consistency, and lineage
    • Ensuring data reliability for analytics and reporting
  • Experience with exploratory data analysis (EDA)
  • Experience with data manipulation and reporting

Preferred Qualifications
  • Experience with BI tools (Power BI preferred)
  • Healthcare domain experience (payer/provider, clinical, insurance, or operational data)
  • Experience with Databricks and/or PySpark

Skills:
Data Analyst,pYTHON