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Weekend Data Analyst Jobs in Indiana (NOW HIRING)

Old National Bank

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 ...

CSpring

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 ...

CSpring

Senior Data Analyst

Indianapolis, IN · On-site +1

$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 ...

CSpring

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 ...

CSpring

Senior Data Analyst

Indianapolis, IN · On-site +1

$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 ...

Old National Bank

Data Analyst, Sr

Evansville, IN · On-site

$82K - $103K/yr

They are seeking a Senior Data Analyst to lead data projects, develop reporting solutions, and provide insights that improve business and customer experience. Responsibilities : • Deliver on large ...

STI

Data Analyst - Indianapolis, IN

Indianapolis, IN · On-site

The Data Analyst validates and analyzes a variety of agency data sources to garner public health insight. The incumbent will produce reports and support data-related activities for the several ...

DHL

Sr Business Data Analyst

Whiteland, IN · On-site

$70K - $115K/yr

The Sr Business Data Analyst role has a national salary range of $70,000 - $115,000. For roles within California the range is $70,304 - $115,000 and Washington is $80,169 - $115,000. DHL Supply Chain ...

DPDHL

Sr Business Data Analyst

Whiteland, IN · On-site

$70K - $115K/yr

The Sr Business Data Analyst role has a national salary range of $70,000 - $115,000. For roles within California the range is $70,304 - $115,000 and Washington is $80,169 - $115,000. DHL Supply Chain ...

New

Maximus

Data Coordination Analyst

Hammond, IN · On-site

Description & Requirements Maximus is searching for a Data Coordination Analyst role supporting upcoming federal OPTN work, contingent upon contract award. In this role, you will transform complex ...

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Showing results 1-20

All JobsData Analyst JobsWeekend Data Analyst JobsWeekend Data Analyst Jobs in Indiana

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 Jul 12, 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 analysis, SQL, and visualization tools, along with continuous learning and certification if needed.

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 on weekdays, but some roles may require weekend work to meet project deadlines or support 24/7 operations. Flexibility depends on the employer, industry, and specific job responsibilities, especially in roles involving real-time data monitoring or client support.

How to get a data analyst job quickly?

To secure a weekend data analyst position quickly, focus on building relevant skills such as proficiency in Excel, SQL, and data visualization tools like Tableau. Obtain certifications if possible, tailor your resume to highlight analytical experience, and apply to roles with flexible schedules or part-time options to increase your chances of rapid employment.

Is there still a demand for data analysts?

Data analysts remain 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 highly valued, and job growth is expected to continue as organizations prioritize data insights for strategic planning.

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.
More about Weekend Data Analyst jobs
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 are popular job titles related to Weekend Data Analyst jobs in Indiana? For Weekend Data Analyst jobs in Indiana, the most frequently searched job titles are:
What job categories do people searching Weekend Data Analyst jobs in Indiana look for? The top searched job categories for Weekend 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:
Weekend Data Analyst jobs near you
Infographic showing various Weekend Data Analyst job openings in Indiana as of July 2026, with employment types broken down into 1% Locum Tenens, 1% Internship, 83% Full Time, 10% Part Time, 1% Temporary, and 4% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution, with an average salary of $78,637 per year, or $37.8 per hour.
Data Analyst, Sr

Data Analyst, Sr

Old National Bank

Evansville, IN • On-site

$60K - $121K/yr

Full-time

Medical, Dental, Vision, Retirement

Posted 23 days ago

Old National Bank rating

8.1

Company rating: 8.1 out of 10

Based on 37 frontline employees who took The Breakroom Quiz

51st of 149 rated banks

Job description

Overview
Old National Bank has been serving clients and communities since 1834. With over $70 billion in total assets, we are a regional powerhouse deeply rooted in the communities we serve. As a trusted partner, we thrive on helping our clients achieve their goals and dreams, and we are committed to social responsibility and investing in our communities through volunteering and charitable giving.
We continually seek highly motivated and talented individuals as our people are critical to our success. In return, we offer competitive compensation with our salary and incentive program, in addition to medical, dental, and vision insurance. 401K, continuing education opportunities and an employee assistance program are also included in our benefit suite. Old National also offers a variety of Impact Network Groups led by team members who are passionate about driving engagement, creating awareness of diverse backgrounds and experiences, and building inclusion across the organization. We offer a unique opportunity to join a growing, community and client-focused company that is firmly rooted in its core values.
Responsibilities
Old National is currently seeking to fill the position of Data Analyst. We're building a class-leading data team that works to solve complex business challenges and provide insights to improve our business and customer experience. 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 have a flair for building highly usable and consistent business user experiences, and the business mindset to perform detailed analysis to produce genuine business insights that will find and fuel strategic opportunities.
You will work directly with line of business leaders - including Line of Business Chief Product, Information and Financial Officers - to assess and interpret their reporting needs. You will identify and design reporting solutions based on their requirements. You will use various data query and visualization tools (SQL, Python, Power BI, SAS, etc.) to access multiple data sources and design insightful products for our business partners. You will work with various teams, each with unique backgrounds and perspectives, to develop solutions that will have a real impact for the bank and for our customers.
Salary Range
The annual salary range for this position is $60,000 - $121,300. The base salary indicated for this position reflects the compensation range applicable to all levels of the role across the United States. Actual salary offers within this range may vary based on a number of factors, including the specific responsibilities of the position, the candidate's relevant skills and professional experience, educational qualifications, and geographic location.
Key Accountabilities
Fulfill core senior data analytics developer accountabilities:
  • Deliver on large data projects by leading planning, execution and completion of projects through peer leadership, cross-functional team collaboration and consensus building with functional and senior stakeholders and implementing logical solutions.
  • Build, develop and maintain data models, dashboards, reports, data automation systems, and performance metrics support that support key business decisions
  • Proactively evaluate data & data technology trends to guide business partners on emerging opportunities.
  • Ensure data accuracy, quality and consistent reporting by designing and creating optimal analytics code with data controls defined as defined within the policy, procedure, and standards
  • Tasks and deliverables are often time-sensitive and require a proactive approach to ensure deadlines are consistently met

Develop and implement Power BI Reports:
  • Create consistent dashboards, reporting, and analytics experiences for business users
  • Elicit and understand business requirements from stakeholders; transform into the BI context and design a data model to transform raw data into meaningful insights
  • Convert business requirements into technical specifications and implement them through reports that support decision-making
  • Perform DAX queries and functions in Power BI

ETL, data extracts & ad-hoc reporting:
  • Partner with business users to derive requirements, identify data sources, wrangle data and/or transform data via SQL and/or SAS to produce file extracts for use within PowerBI Dashboards or distribution to other systems
  • Partner closely with data engineering and data movement teams on ETL processes and to develop and enhance databases/schemas/tables and implement data solutions to move data from and to other internal and external systems and vendors
  • Drive efforts on ad hoc, time-sensitive exploratory data analysis and/or qualitative analysis to provide insights on trends, client behaviors, system troubleshooting or non-recurring reporting needs.
  • Creating customized diagrams and user-defined calculations as needed
  • Design, develop and deploy business intelligence solutions with SQL queries for best results, filters, and graphs to better understand your data at all levels for performance improvements and suggestions

Qualifications and Education Requirements
  • Bachelor's degree in related field; advanced coursework/training related to computer science, management information systems, and mathematics/statistics, Master's degree preferred
  • Exceptional analytic ability and problem-solving skills
  • 6-10 years' experience in banking and finance with a thorough knowledge of the retail bank business line
  • Demonstrated ability in data retrieval from multiple databases and systems
  • 5+ years' experience in developing analytics reports and dashboards, preferably PowerBI
  • 5+ years' experience working with and creating data extracts
  • 5+ years' experience programming skills with querying languages: SQL, SAS, R, Python, etc.
  • 5+ years' experience in Data Visualization
  • Experience integrating multiple components of the Microsoft Fabric / BI Stack, with specific emphasis on Power BI, Power Apps, Power Automate and Azure services
  • Experience with both on-prem SQL server and Azure Databricks cloud data environments
  • Experience using analytics techniques to contribute to company growth efforts, increasing revenue and other key business outcomes
  • Exceptional written, verbal, and interpersonal communication skills
  • Strong project management skills and experience with agile methodologies preferred
  • Demonstrated ability to communicate and support data culture change initiatives
  • Client-centered approach to working with line of business stakeholders
  • Demonstrated ability to engage directly with C-level executives when sharing data, reports and presentations
  • Working knowledge of common banking core systems and tools (Fiserv Signature, MeridianLink/LoansPQ, Encompass, Velocify, Marquis Executrax MCIF, Salesforce) preferred

Old National is proud to be an equal opportunity employer focused on fostering an inclusive workplace and committed to hiring a workforce comprised of diverse backgrounds, cultures and thinking styles.
As such, all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, protected veteran status, status as a qualified individual with disability, sexual orientation, gender identity or any other characteristic protected by law.
We do not accept resumes from external staffing agencies or independent recruiters for any of our openings unless we have an agreement signed by the Director of Talent Acquisition, SVP, to fill a specific position.
Our culture is firmly rooted in our core values.
We are optimistic. We are collaborative. We are inclusive. We are agile. We are ethical.
We are Old National Bank. Join our team!

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