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Hourly Data Analytics Jobs in Indiana (NOW HIRING)

In the recent times, Optimized Solutions is evolving into a company which can implement Cloud, HANA and Analytics and also can provide Integration services. Position: Data analyst Location: WARSAW ...

In the recent times, Optimized Solutions is evolving into a company which can implement Cloud, HANA and Analytics and also can provide Integration services. Position: Data analyst Location: WARSAW ...

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 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 ...

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 ...

The role will be responsible for capture, analysis, data dissemination, and follow-up of findings from various sources. As such, the incumbent must be knowledgeable in information technology, data ...

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 ...

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 ...

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 ...

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 ...

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 ...

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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:

Associate Data Analyst, People Analytics & Automation

JD Sports Fashion

Indianapolis, IN

Full-time

Posted 23 days ago


Job description

The Associate Data Analyst, People Analytics & Automation will be a key support member of the People Analytics function, focusing on the execution of foundational data analysis, reporting, and process automation tasks within the People department. This role directly contributes to data-driven decision-making and operational efficiency by assisting in transforming raw people data into preliminary insights and supporting the streamlining of administrative processes. This position reports directly to the Manager, People Analytics, Reporting & Automation.

This individual will begin to leverage data manipulation, business intelligence tools, and scripting concepts to support the People Department strategy. The ideal candidate is detail-oriented, possesses strong foundational analytical and problem-solving skills, and is eager to collaborate across functions.

  • Build understanding and awareness of HR systems internal architecture.

  • Assist in maintaining data pipelines and transformations of raw data from various sources to create automated dashboards and reports.

  • Build and maintain HR analytics dashboards using BI tools (e.g., Looker) to track and measure departmental and organizational KPIs, such as turnover, retention, and service levels.

  • Prepare regular and ad-hoc reports and visualizations on key HR metrics, trends, and anomalies for internal stakeholders.

  • Support the design, development, testing, and documentation of simple HR automation projects to streamline processes and enhance efficiency across HR operations.

  • Work with the HR Technology team on automation projects as directed.

  • Assist in identifying opportunities for process optimization.

  • Support the creation and maintenance of journey mapping documentation for the end-user experience and the system process.

  • Implement the departmental reporting and analytics strategy and data management best practices by performing routine data audits and clean-ups, as well as the below.

  • Maintain current awareness of industry trends, techniques, and best practices in HR systems functionality and data management.

  • Act as a data consultant to other People Department teams as well as other departments to understand and translate business objectives and to highlight trends and insights.

  • Cross-train members of the department to be more data literate and self-sufficient in use of dashboards and analytical tools such as Looker, BigQuery, and Excel.

  • Assist with writing technical documentation, data contracts, and data dictionaries for the dashboards and reports supported by the function.

Required Education and/or Experience

Bachelor's degree in Human Resources, Business Administration, Information Technology, Statistics, or a related field. 0-2 years of related experience in HR operations, data analysis, or a related field, or equivalent combination of education and experience. Experience in retail management, continuous improvement, compliance, project management, or HR functional roles is a plus. Internal JD Group experience is always preferred.

Required Computer and/or Technical Skills

Experience with Microsoft Excel/Google Sheets formulas and at least one scripting language (e.g., Python, JavaScript, SQL). Basic experience with or exposure to BI tools such as Looker. Proficient in basic data analysis and reporting concepts. Strong organizational skills and attention to detail. Must be able to navigate and administer HRIS solutions, with Workday experience strongly preferred. Experience in automating processes through technology is a plus.

Qualifications

To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

Physical Demands

The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

  • Sit for more than 6 hours per shift

  • Use hands to touch, handle, feel and type

  • Reach with hands and arms

  • Talk and/or hear

  • Walk or move from one location to another

  • Periodically may need to climb, balance, stoop, kneel, or crouch

  • Lift and/or move from 10 pounds occasionally

  • Punctuality and regular attendance consistent with the company's policies are required for the position.

  • The average work week is 40-50 hours, which can vary depending on business need.

  • The work environment for this position is a moderately noisy office setting.

  • Travel may be required occasionally, likely no more than 10% of time.

The company reserves the right to modify this job description with or without notice. Employees may be asked to perform additional duties outside of normal job scope on a temporary basis per company policy.

#LI-DNI

This job description is not intended to cover all aspects, duties, and/or responsibilities required of employees. Employees may be asked to perform additional duties outside of normal job scope on a temporary or permanent basis per company policy. The company reserves the right to modify this job description with or without notice.

EEO Statement:

The Finish Line, Inc. is an Equal Employment Opportunity employer and is committed to complying with all federal, state, and local EEO laws. The Finish Line, Inc. prohibits discrimination against employees and applicants for employment based on race or color, religion or creed, national origin, alienage or citizenship status, marital status, sex, pregnancy status, age, military status, disability, or any other characteristic or class protected by law. The Finish Line, Inc. provides reasonable accommodations in accordance with applicable laws, including for disabilities, pregnancy, and religious practices.


Need accessibility assistance to apply?
Applicants who require accessibility assistance to submit an employment application can either call Finish Line at (317) 613-6890 or email us at talentacquisition@finishline.com. A member of our Talent Acquisition team will respond as soon as reasonably possible. (This email address and phone number is only for individuals seeking accommodation when applying for a job.)