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Weekend Data Analyst Jobs in Columbus, OH (NOW HIRING)

Analyze data to identify trends, patterns, and insights that can inform project strategies. * Create reports to present findings and recommendations to project teams and stakeholders. * Ensure data ...

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What Data Analytics contributes to Cardinal Health The Data Analytics Function oversees the analytics life-cycle in order to identify, analyze and present relevant insights that drive business ...

What Data Analytics contributes to Cardinal Health The Data Analytics Function oversees the analytics life-cycle in order to identify, analyze and present relevant insights that drive business ...

What Data Analytics contributes to Cardinal Health The Data Analytics Function oversees the analytics life-cycle in order to identify, analyze and present relevant insights that drive business ...

What Data Analytics contributes to Cardinal Health The Data Analytics Function oversees the analytics life-cycle in order to identify, analyze and present relevant insights that drive business ...

What Data Analytics contributes to Cardinal Health The Data Analytics Function oversees the analytics life-cycle in order to identify, analyze and present relevant insights that drive business ...

Data Analyst

Columbus, OH · Hybrid

$22 - $27/hr

Data Analyst Full Time | 8am-5pm | Hybrid Schedule Available Pay: $22-$27 per hour Lutheran Social Services of Central Ohio is currently seeking a Data Analyst. The ideal candidate will share Our ...

What Data Analytics contributes to Cardinal Health The Data & Analytics Function oversees the analytics life-cycle in order to identify, analyze and present relevant insights that drive business ...

What Data Analytics contributes to Cardinal Health The Data Analytics Function oversees the analytics life-cycle in order to identify, analyze and present relevant insights that drive business ...

Join Central Insurance as a Data Analyst where you will play a pivotal role in transforming data into meaningful insights that drive business decisions and regulatory reporting. In this role, you ...

Data Analyst

Columbus, OH · On-site +1

$100K - $110K/yr

Overview The Data Analyst identifies and develops opportunities to leverage data from enterprise systems to support compliance activities, detect emerging trends in payment collections and taxpayer ...

The Data Analyst is responsible for collecting, processing and analyzing data to provide actionable insights that support strategic decision-making. The role serves the division through statistical ...

Data Analyst Location: Van Wert, OH; Dublin, OH Work Model: Hybrid Position type: Full time - salary We're a team of employees passionate about delivering best-in-class customer service and driving ...

Data Analysis and Entry This short-term engagement will work to identify and update key data points into newly created fields within the R&M module of ServiceNow. Optimal candidate should have 3-5 ...

Works with complex datasets to perform exploratory data analysis to provide insights to make business decisions. * This role combines consultative and technology focus to Data Analytics. * The ...

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Weekend Data Analyst information

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$32.8K

$79.8K

$131.4K

How much do weekend data analyst jobs pay per year?

As of May 28, 2026, the average yearly pay for weekend data analyst in Columbus, OH is $79,822.00, according to ZipRecruiter salary data. Most workers in this role earn between $60,400.00 and $93,700.00 per year, depending on experience, location, and employer.

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 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 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 the most commonly searched types of Data Analyst jobs in Columbus, OH? The most popular types of Data Analyst jobs in Columbus, OH are:
What cities near Columbus, OH are hiring for Weekend Data Analyst jobs? Cities near Columbus, OH with the most Weekend Data Analyst job openings:
Infographic showing various Weekend Data Analyst job openings in Columbus, OH as of May 2026, with employment types broken down into 2% As Needed, 81% Full Time, 12% Part Time, and 5% Contract. Highlights an 86% Physical, 2% Hybrid, and 12% Remote job distribution, with an average salary of $79,822 per year, or $38.4 per hour.
Data Analyst

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Job description

Data Analyst

We are seeking a Data Analyst to become an integral part of our team! You will analyze data to understand business and market trends in order to increase company revenue and efficiency.

Responsibilities:
  • Use data to understand business patterns and trends
  • Analyze internal and external data through quantitative research
  • Communicate findings to company through standard and ad hoc reports
  • Promote best practices in data analysis and reporting
  • Collaborate with cross-functional teams
Qualifications:
  • Previous experience in business intelligence, analysis, or other related field
  • Knowledge of statistical tools and business reporting
  • Strong problem solving and critical thinking skills
  • Strong attention to detail
  • Ability to prioritize and multitask