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Weekend Data Analyst Jobs in Collierville, TN (NOW HIRING)

Pull, clean, and validate data from multiple systems to ensure reporting is accurate and trustworthy * Build and maintain dashboards, reports, and analytics solutions that help teams track ...

Pull, clean, and validate data from multiple systems to ensure reporting is accurate and trustworthy * Build and maintain dashboards, reports, and analytics solutions that help teams track ...

The Data Analyst will work as a member of Stifel's Analyst team within the Digital Solutions group. The Data Analyst is responsible for servicing ad-hoc data extraction and reporting requests ...

Data Analyst

Millington, TN · On-site

$65K - $71K/yr

Data Analyst Clearance Required: Secret - U.S. Citizenship Required Work Location: Onsite - Millington, TN Alpha Omega is searching for an experienced Data Analyst to join one of our long-term ...

New

The Data Analyst is responsible for servicing ad-hoc data extraction and reporting requests originating from various areas of the business as well as support discovery or solutions for firm data ...

Data Analyst Clearance Required: Secret - U.S. Citizenship Required Work Location: Onsite - Millington, TN Alpha Omega is searching for an experienced Data Analyst to join one of our long-term ...

New

The Data Analyst is responsible for servicing ad-hoc data extraction and reporting requests originating from various areas of the business as well as support discovery or solutions for firm data ...

This position follows a regular 5-day schedule and may be either Tuesday through Saturday or Sunday through Thursday , ensuring coverage on one weekend day each week. The Sr Business Data Analyst ...

This position follows a regular 5-day schedule and may be either Tuesday through Saturday or Sunday through Thursday , ensuring coverage on one weekend day each week. The Sr Business Data Analyst ...

Sr Crew Data Analyst

Memphis, TN · Hybrid

$76K - $96K/yr

Performs data analytics and analysis utilizing Excel, SQL and/or SAS to ensure accurate pay in accordance with the crew's collective bargaining agreement (CBA). Responsible for planning, overall ...

New

Analyze VoC data to identify trends, friction points, and opportunities to drive business growth. * Merge VoC data with internal revenue and transactional data sets to tie customer feedback directly ...

Sr Crew Data Analyst

Memphis, TN · On-site

$76K - $96K/yr

Performs data analytics and analysis utilizing Excel, SQL and/or SAS to ensure accurate pay in accordance with the crew's collective bargaining agreement (CBA). Responsible for planning, overall ...

New

Analyze VoC data to identify trends, friction points, and opportunities to drive business growth. * Merge VoC data with internal revenue and transactional data sets to tie customer feedback directly ...

New

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Weekend Data Analyst information

See Collierville, TN salary details

$30.1K

$73.1K

$120.3K

How much do weekend data analyst jobs pay per year?

As of Aug 9, 2026, the average yearly pay for weekend data analyst in Collierville, TN is $73,084.00, according to ZipRecruiter salary data. Most workers in this role earn between $55,300.00 and $85,800.00 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 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 are the most commonly searched types of Data Analyst jobs in Collierville, TN? The most popular types of Data Analyst jobs in Collierville, TN are:
What job categories do people searching Weekend Data Analyst jobs in Collierville, TN look for? The top searched job categories for Weekend Data Analyst jobs in Collierville, TN are:
What cities near Collierville, TN are hiring for Weekend Data Analyst jobs? Cities near Collierville, TN with the most Weekend Data Analyst job openings:

Full-time

Re-posted 17 days ago


nexAir rating

7.1

Company rating: 7.1 out of 10

Based on 8 frontline employees who took The Breakroom Quiz


Job description

Key Responsibilities 

  • Partner with sales, operations, and leadership to turn business questions into actionable insights 
  • Pull, clean, and validate data from multiple systems to ensure reporting is accurate and trustworthy 
  • Build and maintain dashboards, reports, and analytics solutions that help teams track performance and make decisions 
  • Leverage Microsoft Fabric and modern analytics tools to deliver scalable reporting and data solutions 
  • Automate recurring data pulls, reporting processes, and workflows to improve efficiency and reduce manual effort 
  • Utilize AI tools and emerging technologies to enhance productivity, streamline analysis, and uncover new opportunities 
  • Support ad hoc requests and investigate business issues to identify root causes and recommend improvements 
  • Think creatively and challenge conventional approaches to solve complex business problems 
  • Continuously look for opportunities to do more with less by improving processes, increasing automation, and maximizing the value of available resources 
  • Help drive a data-driven culture by translating complex data into clear, actionable business recommendations 

Required Qualifications 

  • Bachelor's degree in a related field (or equivalent hands-on experience) 
  • 2+ years of experience working with data in a business environment 
  • Strong skills in Excel, SQL, and report writing 
  • Proficiency in Microsoft Fabric and Power BI 
  • Experience leveraging AI tools to improve analysis, reporting efficiency, and business outcomes 
  • Ability to transform complex, real-world data into meaningful insights and recommendations 
  • Strong analytical and problem-solving skills with a demonstrated ability to think outside the box 
  • Personable communicator who can explain the "so what" to a non-technical audience and build trust across teams 

Preferred Qualifications 

  • Experience with data modeling, automation, and business intelligence best practices 
  • Familiarity with Python or other analytics/programming languages 
  • Understanding of statistical analysis and predictive analytics concepts 
  • Experience optimizing business processes through automation and AI-driven solutions 
  • Strong attention to detail, intellectual curiosity, and a continuous improvement mindset 
  • Demonstrated ability to balance innovation with efficiency and consistently find ways to accomplish more with less 

What Success Looks Like 

  • Delivers trusted, actionable insights that influence business decisions 
  • Identifies opportunities for automation and process improvement 
  • Uses AI and analytics tools to increase team productivity and effectiveness 
  • Brings innovative thinking and fresh perspectives to business challenges 
  • Creates scalable reporting solutions that reduce manual effort and improve decision-making across the organization 

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