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Weekend Data Analyst Jobs in Missouri (NOW HIRING)

$77K - $116K/yr

Advise on data structure, data quality, missing data, and analytic assumptions * GRANT DEVELOPMENT and Strategic research SUPPORT Support grant development (e.g., NIH, society, foundation, industry ...

As an Aeronautical Data Analyst , you'll be responsible for editing, validating, and enhancing ... Periodic over‑time, holiday, and weekend work may be necessary Basic Qualifications * Bachelor ...

Data Analyst - GEOINT SME

Saint Louis, MO · On-site

$110K - $135K/yr

Data Analyst - GEOINT Technical SME Work Role: Everforth ECS is seeking a Data Analyst GEOINT SME that encompasses a comprehensive skill set focused on leveraging data to enhance organizational ...

New

(USA) Principal, Data Analyst

Noel, MO · On-site

$90K - $180K/yr

As a Principal Data Analyst at Walmart, you will lead the formulation and resolution of complex business problems through advanced data analytics and strategic insights. This role requires expertise ...

As a Principal Data Analyst at Walmart, you will lead the formulation and resolution of complex business problems through advanced data analytics and strategic insights. This role requires expertise ...

Role Summary The Data Analyst 2 will collect, compile, transform, and analyze data, metrics, and statistics from various internal and external sources to create reports and insights to inform ...

New

As a Principal Data Analyst at Walmart, you will lead the formulation and resolution of complex business problems through advanced data analytics and strategic insights. This role requires expertise ...

Showing results 41-60

Weekend Data Analyst information

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 Missouri?

The most popular types of Data Analyst jobs in Missouri are:

What cities in Missouri are hiring for Weekend Data Analyst jobs?

Cities in Missouri with the most Weekend Data Analyst job openings:

Infographic showing various Weekend Data Analyst job openings in Missouri as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 15% Part Time, and 2% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution.

Full-time

This job post has expired 2 days ago. Applications are no longer accepted.


Job description

ESG Data AnalystSt. Louis, Missouri, United StatesAbout the JobWe are seeking a highly motivated and detail-oriented ESG Data Analyst. The ideal candidate will have experience in Environmental, Social, and Governance (ESG), or Environmental Safety and Health (ESH). This role offers a unique opportunity to work cross-functionally with departments such as Health Physics, Facilities, Safety, and Supply Chain to support data collection, analysis, and reporting related to waste disposal, energy audits, refrigerant gas inventory, safety data, and ESG performance. The successful candidate will conduct comprehensive ESG research, identify key risks and opportunities, and help implement sustainability initiatives.

Work Schedule:

20 hours a week for the first 4 months, then 10 hours per weekEssential FunctionsConduct comprehensive ESG research and analysis, evaluating the company's performance against industry-specific criteria and standards.

Identify key ESG risks, opportunities, and trends, providing insights to support strategic decision-making and risk mitigation.

Collaborate with stakeholders to develop and implement ESG strategies, policies, and initiatives that align with sustainability objectives.

Monitor and measure ESG performance indicators, track progress, and produce regular reports to communicate findings to internal and external stakeholders.

Stay updated on evolving ESG regulations, industry best practices, and emerging sustainability trends, incorporating them into organizational strategies.

Partner with Health Physics to manage the disposal of non-hazardous, hazardous, and radioactive waste at sites.

Work with Facilities in executing an Energy Audit, and in the organization and analysis of the data for plants, and to track and report inventory.

Assist the Safety team in preparing and submitting safety data reports.

Collaborate with the Supply Chain team on reporting through the Interlog system.

Complete Enablon training and use the platform for data collection and reporting.

Must maintain operational compliance with US and international regulatory agencies and guidelines (i.e. FDA, EU, HC, TGA, PIC/S, ISO, USP, NRC, cGMP, etc.)RequirementsBachelor Degree preferred or equivalent work experience in lieu of a degreeMinimum of three years of relevant experience in data analysis, preferably with a background in ESG or ESH.Proficiency in data management and reporting tools.

Strong ability to work effectively in cross-functional teams across departments.

Familiarity with Enablon or a willingness to undergo training to effectively use the platform for reporting.

Proficient with Microsoft Office including Word, Excel, PowerPoint, OneNote, Visio and SharePoint.

Excellent verbal and written communication skills required for developing communications, coupled with strong listening, interpersonal and customer service skills. Excellent time management and prioritization skills with a proven ability to respond to rapidly changing business needs, and meet deadlines.

Working Conditions:

Standard office environmentWillingness to work in a team-based environment. Close attention to detail required.

May be required to sit or stand for long periods of time while performing duties.

Required

Citizenship / Work Permit / Visa StatusCurrently authorized to work in the United StatesMust-Haves: Minimum of three years of relevant experience in data analysis, preferably with a background in ESG or ESH.Familiarity with Enablon or a willingness to undergo training to effectively use the platform for reporting.

Proficient with Microsoft Office including Word, Excel, PowerPoint, OneNote, Visio and SharePoint.

Nice to Haves: Strong ability to work effectively in cross-functional teams across departments.

Excellent verbal and written communication skills required for developing communications, coupled with strong listening, interpersonal and customer service skills. Excellent time management and prioritization skills with a proven ability to respond to rapidly changing business needs, and meet deadlines.