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Hourly Data Analytics Jobs in Indiana (NOW HIRING)

Data Analyst, Sr

Evansville, IN · On-site

$82K - $103K/yr

... 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 ...

Data Engineer

Fort Wayne, IN · Hybrid

$113K - $135K/yr

Position Summary The Data Analyst will be primarily responsible for creating and maintaining DMA's infrastructure and systems that enable the collection, storage, and processing of data. This role is ...

Data Engineer

Indianapolis, IN · Hybrid

$109K - $131K/yr

Position Summary The Data Analyst will be primarily responsible for creating and maintaining DMA's infrastructure and systems that enable the collection, storage, and processing of data. This role is ...

SR Data Engineer

Granger, IN · On-site

$102K - $123K/yr

Supports the development and maintenance of a system-wide data analytics platform by: * Providing technical guidance and recommendations for organizational data needs. * Leading data architecture ...

SR Data Engineer

Granger, IN · On-site +1

$102K - $123K/yr

Supports the development and maintenance of a system-wide data analytics platform by: * Providing technical guidance and recommendations for organizational data needs. * Leading data architecture ...

Data Engineer

Fort Wayne, IN

$104K - $125K/yr

Model and manage structured data to support analytics, reporting, and application needs * Build and maintain data pipelines and ETL/ELT processes * Ensure data quality, consistency, and reliability ...

Data Engineer

Fort Wayne, IN

$113K - $135K/yr

Model and manage structured data to support analytics, reporting, and application needs * Build and maintain data pipelines and ETL/ELT processes * Ensure data quality, consistency, and reliability ...

Data Engineer

Fort Wayne, IN

$104K - $125K/yr

Model and manage structured data to support analytics, reporting, and application needs * Build and maintain data pipelines and ETL/ELT processes * Ensure data quality, consistency, and reliability ...

Data Engineer

Woodburn, IN

$102K - $123K/yr

Analyze needs expressed by key business resources and document solutions that align with the Michelin Group's requirements in terms of security, reliability, and confidentiality. * Ensures data ...

Snowflake Data Engineer

Indianapolis, IN · On-site

$109K - $131K/yr

Onebridge, a Marlabs Company, is a global AI and Data Analytics Consulting Firm that empowers organizations worldwide to drive better outcomes through data and technology. Since 2005, we have ...

Snowflake Data Engineer

Indianapolis, IN · On-site

$109K - $131K/yr

Onebridge, a Marlabs Company, is a global AI and Data Analytics Consulting Firm that empowers organizations worldwide to drive better outcomes through data and technology. Since 2005, we have ...

Data Engineer

Woodburn, IN

$102K - $123K/yr

Analyze needs expressed by key business resources and document solutions that align with the Michelin Group's requirements in terms of security, reliability, and confidentiality. * Ensures data ...

Snowflake Data Engineer

Indianapolis, IN · On-site

$109K - $131K/yr

Onebridge, a Marlabs Company, is a global AI and Data Analytics Consulting Firm that empowers organizations worldwide to drive better outcomes through data and technology. Since 2005, we have ...

Snowflake Data Engineer

Indianapolis, IN

$109K - $131K/yr

Onebridge, a Marlabs Company, is a global AI and Data Analytics Consulting Firm that empowers organizations worldwide to drive better outcomes through data and technology. Since 2005, we have ...

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary The Opportunity As an AI & GenAI Data Scientist - Manager, you will play a pivotal role in ...

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Showing results 1-20

Hourly Data Analytics information

How much do data analysts charge per hour?

Data analysts typically charge between $25 and $100 per hour, depending on experience, location, and project complexity. Freelance analysts or those with specialized skills in tools like SQL, Python, or Tableau may command higher rates, especially for short-term or consulting work.

Do data analysts get paid by the hour?

Data analysts working hourly are paid based on the number of hours they work, with rates varying depending on experience, location, and industry. Many data analysts are employed as salaried employees, but hourly positions are common for freelance or contract roles, especially when project-based work or flexible schedules are involved.

What are hourly data analytics?

Hourly data analytics refers to the process of collecting, analyzing, and interpreting data on an hourly basis to monitor trends, performance, and patterns within that specific timeframe. This approach is commonly used in industries such as retail, IT, and manufacturing to spot hourly fluctuations, optimize operations, and make timely decisions. Hourly data analytics can help organizations quickly identify issues or opportunities and respond proactively, improving overall efficiency and outcomes.

What are the key skills and qualifications needed to thrive as an Hourly Data Analyst, and why are they important?

To thrive as an Hourly Data Analyst, you need strong analytical abilities, proficiency with data manipulation, and a foundational understanding of statistics, often supported by a degree in a quantitative field. Familiarity with tools such as Excel, SQL, and data visualization platforms like Tableau or Power BI is typically required. Attention to detail, problem-solving, and effective communication are crucial soft skills that set top performers apart. These skills and qualities are important to ensure accurate data insights, efficient task completion, and clear reporting to stakeholders.

Is 40 too late for data science?

For an hourly data analytics role, age is generally not a barrier; many professionals transition into data science or analytics later in their careers. Success depends on acquiring relevant skills such as programming, statistics, and tools like SQL or Python, regardless of age. Continuous learning and practical experience are key factors in entering the field at any age.

Is AI replacing data analysts?

AI tools are automating certain data analysis tasks, such as data cleaning and basic reporting, but data analysts are still essential for interpreting complex insights, making strategic decisions, and providing context. The role of a data analyst involves skills like critical thinking and domain knowledge that AI cannot fully replicate, so demand for human analysts remains strong alongside technological advancements.

What are some common challenges faced in an hourly data analytics role, and how can I prepare for them?

In an hourly data analytics role, a common challenge is managing multiple short-term projects with tight deadlines, as tasks often shift based on immediate business needs. You'll need to quickly analyze datasets, generate actionable insights, and communicate findings to different stakeholders, sometimes with limited context. To succeed, focus on honing your time management, adaptability, and clear communication skills. Being comfortable with learning new analytics tools on the fly and collaborating with cross-functional teams will also help you thrive in this dynamic environment.

What is the difference between Hourly Data Analytics vs Data Analyst?

AspectHourly Data AnalyticsData Analyst
Work HoursTypically hourly, flexible shiftsUsually full-time, standard hours
CertificationsRelevant certifications (e.g., Google Data Analytics)Same certifications often required
Work EnvironmentContract or freelance settings, remote or onsiteCorporate or organizational settings, office or remote
Job ScopeProject-based, task-specificBroader analysis responsibilities

Hourly Data Analytics and Data Analyst roles share similar skills and certifications but differ mainly in work hours and employment type. Hourly Data Analytics offers flexible, project-based work, while Data Analysts often work full-time in organizational settings. Both roles require comparable analytical skills and certifications, making them closely related in the data industry.

What are the most commonly searched types of Data Analytics jobs in Indiana? The most popular types of Data Analytics jobs in Indiana are:
What cities in Indiana are hiring for Hourly Data Analytics jobs? Cities in Indiana with the most Hourly Data Analytics job openings:
Data Analyst, Sr

Data Analyst, Sr

Old National Bank

Evansville, IN • On-site

$82K - $103K/yr

Full-time

Posted 5 days ago


Old National Bank rating

8.0

Company rating: 8.0 out of 10

Based on 36 frontline employees who took The Breakroom Quiz

54th of 141 rated banks


Job description

Job Summary:
Old National Bank is a regional powerhouse that has been serving clients and communities since 1834. 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 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
• 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
• 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:
Required:
• 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
Preferred:
• Strong project management skills and experience with agile methodologies
• Working knowledge of common banking core systems and tools (Fiserv Signature, MeridianLink/LoansPQ, Encompass, Velocify, Marquis Executrax MCIF, Salesforce)
Company:
Old National Bank is a regional bank providing you with additional provides account choices, expanded convenience, and greater control. Founded in 1834, the company is headquartered in Evansville, USA, with a team of 1001-5000 employees. The company is currently Late Stage.

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