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Weekend Data Analyst Jobs in Indiana (NOW HIRING)

Data Analyst is responsible for collecting, processing, and analyzing data to help make data-driven decisions. This role involves working with large datasets, identifying trends, creating reports ...

Data Analyst Job Location: Indianapolis IN, 46204 Job Location: Hybrid Contract Duration: 11 Months Note: W2 and C2C candidates can apply Note: Candidate must be local to Indiana location or they ...

Data analyst Location: WARSAW, IN Full time position with PHARMA industry TRAVEL: Global travel if applicable would be extremely minimal. Some domestic travel may be required but very little. This ...

Drive and document analytics integration and data consolidation standards and best practices. * Develop and present complex, customized presentations of findings to senior leadership and field ...

New

Drive and document analytics integration and data consolidation standards and best practices. * Develop and present complex, customized presentations of findings to senior leadership and field ...

Data analyst Location: WARSAW, IN Full time position with PHARMA industry TRAVEL: Global travel if applicable would be extremely minimal. Some domestic travel may be required but very little. This ...

Drive and document analytics integration and data consolidation standards and best practices. * Develop and present complex, customized presentations of findings to senior leadership and field ...

DWD - Data Analyst Location: Indianapolis, IN Job Type: Full-Time * Gather, clean, and organise large datasets from various sources. * Validate and verify data accuracy, consistency, and completeness ...

The expectation of this position is to analyze data with assistance, develop and maintain reports and dashboards, and follow established processes to ensure data accuracy, consistency, and ...

Summary The Operations Data Analyst plays a critical role in driving operational efficiency and strategic decision-making through data analysis. This role is responsible for collecting, analyzing ...

Senior Data Analyst

Goshen, IN · On-site

$76K - $96K/yr

WHAT YOU WILL DO EVERYDAY As a Senior Data Analyst, you will serve as a strategic analytics partner and an advanced technical contributor, building upon the foundational responsibilities of the ...

Senior Data Analyst

Goshen, IN · On-site

$76K - $96K/yr

WHAT YOU WILL DO EVERYDAY As a Senior Data Analyst, you will serve as a strategic analytics partner and an advanced technical contributor, building upon the foundational responsibilities of the ...

Summary We have a job opening for the position of Data Analyst I with Summit Reinsurance Services, a division of Companion Life and a subsidiary of BlueCross BlueShield of South Carolina. In this ...

Data Analyst, Sr

Evansville, IN · On-site

$60K - $121K/yr

We are looking for an innovative senior data analytics developer who has a knack for seeing solutions in sprawling data sets across a variety of retail bank systems and products. The incumbent should ...

We are looking for an innovative senior data analytics developer who has a knack for seeing solutions in sprawling data sets across a variety of retail bank systems and products. The incumbent should ...

Senior Data Analyst

Indianapolis, IN · On-site

$82K - $103K/yr

Engage with business and technical stakeholders to gather, analyze, document, define, and standardize business/data requirements (2%). * Perform or lead Gap Analysis between as-is and to-be systems ...

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Showing results 1-20

Weekend Data Analyst information

See Indiana salary details

$32.4K

$78.6K

$129.4K

How much do weekend data analyst jobs pay per year?

As of Jun 22, 2026, the average yearly pay for weekend data analyst in Indiana is $78,637.00, according to ZipRecruiter salary data. Most workers in this role earn between $59,500.00 and $92,300.00 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 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 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.

Is 40 too old to become a data analyst?

Age is not a barrier to becoming a data analyst; many professionals transition into the field later in life. Success depends on acquiring relevant skills such as data visualization, SQL, and Excel, often through online courses or certifications, regardless of age.

Is a data analyst still in demand?

Data analysts are currently in high demand across various industries due to the increasing reliance on data-driven decision making. Skills in data visualization, SQL, and statistical analysis are valuable, and the role often offers flexible schedules including weekend shifts for certain organizations.

Is AI replacing data analysts?

AI tools are automating certain data analysis tasks, such as data cleaning and basic reporting, but the role of a data analyst remains essential for interpreting complex data, making strategic decisions, and providing insights. Data analysts often use AI and machine learning tools to enhance their work, but human judgment and domain expertise are still critical components of the job.

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.

Do data analysts work on weekends?

Data analysts typically work during regular business hours, Monday through Friday, but some roles may require weekend work to meet project deadlines or support 24/7 operations. Weekend work is more common in industries like finance, healthcare, or in roles involving real-time data monitoring. Flexibility depends on the employer and specific job responsibilities.

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 Indiana? The most popular types of Data Analyst jobs in Indiana are:
What cities in Indiana are hiring for Weekend Data Analyst jobs? Cities in Indiana with the most Weekend Data Analyst job openings:
Infographic showing various Weekend Data Analyst job openings in Indiana as of June 2026, with employment types broken down into 1% As Needed, 61% Full Time, 32% Part Time, 5% Contract, and 1% Nights. Highlights an 80% Physical, 9% Hybrid, and 11% Remote job distribution, with an average salary of $78,637 per year, or $37.8 per hour.

Data Analyst

STI

Indianapolis, IN • On-site

Full-time

Posted 29 days ago


Job description

Data Analyst is responsible for collecting, processing, and analyzing data to help make data-driven decisions. This role involves working with large datasets, identifying trends, creating reports, and providing actionable insights to stakeholders.
Job Summary:
The Data Analyst is responsible for collecting, processing, and analyzing data to help organizations make data-driven decisions. This role involves working with large datasets, identifying trends, creating reports, and providing actionable insights to stakeholders.
Key Responsibilities:
Gather, clean, and organize large datasets from various sources.
Validate and verify data accuracy, consistency, and completeness across various data sources.
Identify and resolve data discrepancies, inconsistencies and errors.
Performa routine and ad hoc data quality checks using automated and manual validation techniques.
Work closely with data entry teams and other analysts and stakeholders to ensure data integrity.
Perform data analysis to identify trends, patterns, and correlations.
Develop reports, dashboards, and visualizations using tools like Excel, SQL, Tableau, or Power BI.
Collaborate with cross-functional teams to support business objectives.
Interpret data to provide strategic recommendations and business insights.
Ensure data accuracy and integrity.
Use statistical techniques and predictive modeling to improve decision-making.
Document processes and methodologies for data collection and analysis.
Required Skills & Qualifications:
Bachelor's degree in Statistics, Mathematics, Computer Science, Economics, or a related field.
Proficiency in data analysis tools such as SQL, Python, R, or Excel.
Experience with data visualization tools like Tableau, Power BI, or Google Data Studio.
Strong analytical and problem-solving skills.
Excellent communication and presentation abilities.
Ability to work independently and in a team-oriented environment.
Attention to detail and a strong understanding of data governance principles.
Preferred Qualifications:
Experience in machine learning, predictive modeling, or statistical analysis.
Knowledge of database management and ETL (Extract, Transform, Load) processes.
Familiarity with cloud platforms such as AWS, Google Cloud, or Azure.