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

The Data Analyst - Manufacturing is responsible for analyzing production and operational data to support efficient, cost-effective, and high-quality manufacturing processes. This role combines data ...

The Data Analyst - Manufacturing is responsible for analyzing production and operational data to support efficient, cost-effective, and high-quality manufacturing processes. This role combines data ...

The Data Analyst - Manufacturing is responsible for analyzing production and operational data to support efficient, cost-effective, and high-quality manufacturing processes. This role combines data ...

This includes process optimization, system implementation, integration, data analysis and reporting, testing, training, and consultation. Outline of Duties: * Serve as a liaison between business ...

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Weekend Data Analyst information

See Lafayette, IN salary details

$32.7K

$79.5K

$130.8K

How much do weekend data analyst jobs pay per year?

As of Aug 18, 2026, the average yearly pay for weekend data analyst in Lafayette, IN is $79,511.00, according to ZipRecruiter salary data. Most workers in this role earn between $60,100.00 and $93,300.00 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 Lafayette, IN?

The most popular types of Data Analyst jobs in Lafayette, IN are:

What job categories do people searching Weekend Data Analyst jobs in Lafayette, IN look for?

The top searched job categories for Weekend Data Analyst jobs in Lafayette, IN are:

What cities near Lafayette, IN are hiring for Weekend Data Analyst jobs?

Cities near Lafayette, IN with the most Weekend Data Analyst job openings:

Data Analyst

Harrison Steel Castings Co.

Attica, IN • On-site

Full-time

Re-posted 26 days ago


Job description

The Data Analyst – Manufacturing is responsible for analyzing production and operational data to support efficient, cost-effective, and high-quality manufacturing processes. This role combines data analytics with process improvement practices to identify opportunities for increased productivity, reduced waste, and improved performance across operations. The position supports a proactive, data-driven approach to decision-making within the organization.Essential Duties and ResponsibilitiesCollect, validate, and analyze data from manufacturing systems, including production equipment, ERP systems, quality systems, and other operational sourcesEvaluate current work processes to determine workflow, time requirements, cost drivers, and production durationsIdentify process inefficiencies, bottlenecks, and opportunities for improvement using data analysis and established engineering methodsDevelop and implement strategies and programs to improve productivity, efficiency, and overall operational performanceSupport process optimization efforts by analyzing workflows and recommending improvements to increase throughput and reduce wasteAssist in determining optimal process settings and operational parameters to improve output and control costsAnalyze equipment performance data to support predictive maintenance efforts and reduce unplanned downtimeWork with maintenance and operations teams to identify trends and recommend preventative actions to extend equipment lifeAnalyze quality data to identify defect patterns and root causesInstruct and support employees in continuous improvement efforts, including process mapping, root cause analysis, and cost/time analysis techniquesFacilitate team-based improvement activities to strengthen collaboration and improve resultsDevelop and coordinate programs to recognize and reward employee contributions to process improvement initiativesQualificationsBachelor's degree in Data Analytics, Industrial Engineering, Manufacturing Engineering, Economics, or a related fieldProficiency in Microsoft Excel and data analysis tools; experience with SQL, or similar systems preferredWorking knowledge of manufacturing processes and continuous improvement methodologiesSkills and CompetenciesStrong analytical and problem-solving skillsAbility to interpret data and provide practical, actionable recommendationsEffective communication and training skillsStrong attention to detail and accuracyAbility to work independently and within cross-functional teamsLanguage Ability:Ability to read, analyze, and interpret common scientific and technical journals, financial reports, and legal documents. Ability to respond to common inquiries or complaints from customers, regulatory agencies, or members of the business community. Math Ability:Ability to apply advanced mathematical concepts such as exponents, logarithms, quadratic equations, and permutations. Ability to apply mathematical operations to such tasks as frequency distribution, determination of test reliability and validity, analysis.Reasoning Ability: Ability to define problems, collect data, establish facts, and draw valid conclusions. Ability to interpret an extensive variety of technical instructions in mathematical or diagram form and deal with several abstract and concrete variables.Computer Skills: Advanced working knowledge of Microsoft Office Suite required.Certificates and Licenses: No certifications neededSupervisory Responsibilities: This job has no supervisory responsibilities.Work Environment:The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.While performing the duties of this job, the employee is frequently exposed to work near moving mechanical parts; fumes or airborne particles and toxic or caustic chemicals. The employee is occasionally exposed to wet or humid conditions (non-weather); work in high, precarious places; outdoor weather conditions and vibration.The noise level in the work environment is usually moderate, occasionally loud or very loud.Physical Demands:The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.The employee must frequently lift and/or move up to 10 pounds and occasionally lift and/or move up to 50 pounds. Specific vision abilities required by this job include Close vision, Distance vision, Color Vision, Peripheral vision, Depth perception and Ability to adjust focus. While performing the duties of this Job, the employee is regularly required to use hands to finger, handle, or feel; reach with hands and arms; talk or hear and taste or smell. The employee is frequently required to stand and walk. The employee is occasionally required to sit; climb or balance and stoop, kneel, crouch, or crawl.
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