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

As a Junior Data Analyst, you will be responsible for extracting valuable insights from complex data sets and providing actionable recommendations to drive informed business decisions. Your expertise ...

As a Junior Data Analyst, you will be responsible for extracting valuable insights from complex data sets and providing actionable recommendations to drive informed business decisions. Your expertise ...

As a Junior Data Analyst, you will be responsible for extracting valuable insights from complex data sets and providing actionable recommendations to drive informed business decisions. Your expertise ...

As a Junior Data Analyst, you will be responsible for extracting valuable insights from complex data sets and providing actionable recommendations to drive informed business decisions. Your expertise ...

We are seeking a Metrics Analyst with Navy experience to help senior leaders leverage data for strategic decision-making. This role is ideal for a former Navy professional who understands shipboard ...

... data analysis and trending Develop personal technical expertise and professional skills ... and weekend work possible (needs will vary) Able to work varying/rotating shifts for extended ...

Conduct urinalysis toxicology data analysis. * Enter orders for all clients in the facility as ... Ability to work 12-hour shifts and must be available to work weekends and have schedule flexibility.

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$31.6K

$76.9K

$126.5K

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, IN is $76,860.00, according to ZipRecruiter salary data. Most workers in this role earn between $58,100.00 and $90,200.00 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, IN? The most popular types of Data Analyst jobs in Columbus, IN are:
What job categories do people searching Weekend Data Analyst jobs in Columbus, IN look for? The top searched job categories for Weekend Data Analyst jobs in Columbus, IN are:
What cities near Columbus, IN are hiring for Weekend Data Analyst jobs? Cities near Columbus, IN with the most Weekend Data Analyst job openings:

Junior Data Analyst

JCREMC

Franklin, IN • On-site

Full-time

Posted 22 days ago


Job description

We are seeking a highly skilled and experienced Junior Data Analyst to join our team. As a Junior Data Analyst, you will be responsible for extracting valuable insights from complex data sets and providing actionable recommendations to drive informed business decisions. Your expertise in data analysis, statistical modeling, and data visualization will play a crucial role in helping our organization optimize performance, identify trends, and uncover opportunities for growth. This is an exciting opportunity for an analytical thinker with a passion for leveraging data to make a significant impact.
Responsibilities:
  • Collect, clean, purge, and analyze large and diverse data sets to identify patterns, trends, and correlations.
  • Develop and implement data models, algorithms, and statistical techniques to extract insights and solve complex business problems.
  • Collaborate with cross-functional teams to define and prioritize data requirements, ensuring data accuracy and completeness.
  • Design and build data visualizations, dashboards, and reports to effectively communicate findings and key metrics to stakeholders.
  • Create reports that will assist with workflow optimization
  • Stay up-to date with industry trends, emerging technologies, and best practices in data analytics to continually enhance the analytical capabilities of the organization.
  • Promote a data-driven culture within the organization.
  • Collaborate with IT to ensure the availability, integrity, sharing, and security of data resources.
  • Imports work orders into GIS database
  • Assists in the maintenance and improvement of the GIS database
  • Analyze and forecast distributed resources and prepare and disseminate relevant business and regulatory reports.
  • Perform market analysis for our JCFiber telecommunication subsidiary

Requirements
  • Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, Geographic Information Systems, or related field
  • Proven experience in data analysis, statistical analysis, and data visualization
  • Proficiency in using data analysis languages such as Python, SQL, or similar languages
  • Strong knowledge of statistical techniques and concepts, such as Power BI, Crystal Reports, or similar software
  • Familiarity with data mining techniques and tools to extract insight from unstructured data sources
  • Excellent problem-solving and critical-thinking skills, with the ability to translate complex data into actionable insights
  • Strong attention to detail and the ability to work with large data sets while maintaining accuracy
  • Excellent communication and presentation skills, with the ability to effectively communicate complex findings to both technical and non-technical stakeholders

JCREMC is an equal opportunity employer.