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Hourly Data Analytics Jobs in Indiana (NOW HIRING)

We're a purpose-driven consulting firm specializing in data strategy, data engineering, and data analytics. Our clients span the public and private sectors, and our work helps them solve complex ...

Business Systems Analyst / Data Analyst

Indianapolis, IN · Hybrid

$33 - $45/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Workplace & AV Analytics Analyzing room utilization, technology adoption, licensing needs, meeting trends, and workplace planning metrics. Description We are seeking a highly analytical Data Analyst ...

Business Systems Analyst / Data Analyst

Indianapolis, IN · Hybrid

$33 - $45/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Workplace & AV Analytics Analyzing room utilization, technology adoption, licensing needs, meeting trends, and workplace planning metrics. Description We are seeking a highly analytical Data Analyst ...

We're a purpose-driven consulting firm specializing in data strategy, data engineering, and data analytics. Our clients span the public and private sectors, and our work helps them solve complex ...

Sr Business Data Analyst

Whiteland, IN · On-site

$70K - $115K/yr

  • Medical

  • Dental

  • Vision

  • PTO

Are you ready to launch your analytics career in the fast-paced world of supply chain? At DHL Supply Chain, we're looking for a Senior Business Data Analyst who is eager to apply data-driven thinking ...

Sr Business Data Analyst

Whiteland, IN · On-site

$70K - $115K/yr

  • Medical

  • Dental

  • Vision

  • PTO

Are you ready to launch your analytics career in the fast-paced world of supply chain? At DHL Supply Chain, we're looking for a Senior Business Data Analyst who is eager to apply data-driven thinking ...

Stay current with emerging trends, technologies, and methodologies in data analytics and apply relevant advancements to government program needs * Ensure all analytical recommendations and products ...

$63K - $121K/yr

Summary We are looking for a data-driven Analyst II, Analytics to join our team. In this role, you will bridge the gap between raw data and business strategy by developing automated dashboards ...

Healthcare Data Analyst (MedInsight)

Indianapolis, IN · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

The MedInsight team develops an industry-leading data warehouse and analytics suite for major healthcare companies including insurers, providers, and public entities. We are a tech healthcare data ...

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

Indianapolis, IN · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... Analytics team, you will turn data into clear, reliable insights that support decision-making across the organization. Working with business-line stakeholders and leadership, you will build and ...

Data Analyst

Indianapolis, IN · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... Analytics team, you will turn data into clear, reliable insights that support decision-making across the organization. Working with business-line stakeholders and leadership, you will build and ...

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Showing results 21-40

Hourly Data Analytics information

What is 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.

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

CSpring

Indianapolis, IN • On-site

Full-time

Re-posted 19 days ago


Job description

Description:

At CSpring, we believe in the power of data to drive decisions and real-world impact. We’re a purpose-driven consulting firm specializing in data strategy, data engineering, and data analytics. Our clients span the public and private sectors, and our work helps them solve complex problems, gain insights, and achieve measurable results.


We're seeking talented professionals who are collaborative, curious, and committed to making a difference that thrive at the intersection of data, technology, and business strategy. Whether you're passionate about transforming public programs, enabling executive decision-making, or modernizing legacy systems, you'll find meaningful work and purpose here.


Why You’ll Love Working Here

  • Purposeful Projects – Improve systems that serve real people by delivering smarter data, streamlined processes, and strategic insight.
  • People-First Culture – We’re as committed to your growth as we are to delivering high-impact solutions. You’ll find support, autonomy, and community here.
  • Strategic, Hands-On Work – From data architecture and documentation to client workshops and solution delivery, you’ll influence every step of the process.
  • Collaborative Trust – Our clients rely on us to listen carefully, deliver consistently, and guide wisely. We partner with integrity, curiosity, and heart.

What You’ll Do

  • Design, develop, test, maintain, and enhance analytic reports and dashboards using Cognos and Tableau.
  • Build ad hoc reports and perform data analysis based on evolving client needs and business questions.
  • Develop complex reports, including sub-reports, visual reports, and well-formatted deliverables that meet user requirements and present data in a clear, compelling manner.
  • Create, enhance, and maintain business analytics models, including relational and DMR models, packages, and reporting structures used for report development.
  • Work with business users and technical teams to mock up reports and dashboards, refine requirements, and identify the most effective way to present data to customers.
  • Collaborate with business analysts, data engineers, managers, and other team members to design and deliver customer-specific reporting solutions.
  • Recommend additional insights, report enhancements, and data improvements based on client needs and analysis findings.
  • Support the operational stability of the reporting environment by monitoring, auditing, validating, and troubleshooting reporting objects to ensure accuracy, integrity, and timely delivery.
  • Validate report results against data warehouse sources throughout the development process to ensure data quality and consistency.
  • Support testing activities, including UAT, validation cycles, and production readiness reviews.
  • Communicate findings, report outputs, and analytical insights clearly to both technical and non-technical stakeholders.
  • Work within a project team environment, taking direction from project managers and technical leaders while managing assigned work to completion.
Requirements:
  • Bachelor’s degree in Computer Science, Information Systems, Mathematics, or a related field, or equivalent experience.
  • 4+ years of production-level experience working with data and business intelligence tools, including IBM Cognos Analytics and Tableau. Experience working with Cognos Cubes, including cube-based reporting and analysis.
  • 2+ years of data warehouse analysis experience, including the ability to read data flow diagrams and conceptual and physical data models.
  • 4+ years of experience writing SQL for reporting, analysis, and report customization.
  • 4+ years of experience with Medicaid, healthcare, or government programs.
  • 4+ years of experience working in Agile environments or client-facing roles.
  • Strong attention to detail with the ability to work with complex data sets and ensure data accuracy.
  • Excellent written and verbal communication skills.

Preferred Qualifications

  • Proficiency in Python, including Pandas or similar libraries, and Excel.
  • Knowledge of data cleaning, formatting, and transformation techniques.
  • Understanding of basic statistics and analytical problem-solving methods.

Come Build With Us

At CSpring, we unlock the potential of people and data. If you're ready to lead meaningful projects, collaborate with passionate teams, and grow your career in a people-first consulting environment—apply today!