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Hourly Data Analytics Jobs in Indiana (NOW HIRING)

Data Analytics Developer Information Technology Department Position Summary: Data Analytics Developers are data experts who design, build and maintain data analysis solutions. Data Analytics ...

Bachelor's degree in data analytics, business, statistics, information systems, or a related field * Experience analyzing large datasets and presenting findings to executive or operational ...

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 ...

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 ...

Senior Data Analyst

Goshen, IN

$76K - $96K/yr

Education / Certifications / Licenses This level of knowledge is normally acquired through completion of a Bachelor's degree in Data Analytics, Statistics, Computer Science, Information Systems ...

Own and develop data structures required to combine multiple data sets to allow for multi-faceted ... Analytics space * Strong written and verbal communication skills Annual Base Salary Range or Hourly ...

Own and develop data structures required to combine multiple data sets to allow for multi-faceted ... Analytics space * Strong written and verbal communication skills Annual Base Salary Range or Hourly ...

New

Own and develop data structures required to combine multiple data sets to allow for multi-faceted ... Analytics space * Strong written and verbal communication skills Annual Base Salary Range or Hourly ...

Senior Data Analyst

Goshen, IN · On-site

$76K - $96K/yr

Education / Certifications / Licenses This level of knowledge is normally acquired through completion of a Bachelor's degree in Data Analytics, Statistics, Computer Science, Information Systems ...

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 ...

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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 Analytics Developer

Data Analytics Developer

Subaru

Lafayette, IN

Other

Posted yesterday


Subaru rating

6.6

Company rating: 6.6 out of 10

Based on 153 frontline employees who took The Breakroom Quiz

36th of 44 rated automakers


Job description

Data Analytics Developer

Information Technology Department

Position Summary:

Data Analytics Developers are data experts who design, build and maintain data analysis solutions. Data Analytics Developers understand, mine, aggregate, and expose business data to enable efficient decision-making and the discovery of data-based business insights. Data Analytics Developers use a variety of tools, techniques, and languages to create dashboards and populate reporting tools.

Outline of Duties:

  • Collaborate with SIA management and business users to define data analysis requirements and specifications
  • Work with transactional system developers to locate and understand source data
  • Use ETL and data modeling tools to translate requirements into functioning, accurate data analysis solutions, including writing custom code in SQL, Python, MDX and other languages as needed
  • Develop efficient, robust ETL processes to extract data from transactional systems and other sources; follow organizational change management procedures
  • Design, create, and maintain data warehouses, data lakes, data marts, etc. to support analysis and reporting, following best practices and considering data retention policies
  • Create and model ontology objects; design and build reports and data visualizations, including dashboards
  • Modify solutions to fix errors, adapt to new hardware or runtimes, improve performance, or upgrade interfaces or software versions
  • Lead and/or support continuous improvement activities to improve analysis capability and performance; advise the business on possible and recommended metrics based on experience and industry best practice
  • Deliver ad hoc reports and data extracts as needed
  • All other duties as assigned (ex. perform or coordinate web development) 

Minimum Qualifications:

  • Bachelor's Degree in Computer Science, Data Analytics, Informatics or related field or equivalent

Desired Qualifications:

  • Master's Degree in Computer Science or related field or equivalent experience
  • Experience with Palantir Foundry

Subaru of Indiana Automotive, Inc. is an equal opportunity employer committed to employing a diverse workforce.


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