1

Assistant Data Analytics Jobs in Indiana (NOW HIRING)

Support data science and advanced analytics initiatives through data collection, preparation, analysis, and modeling. * Assist with machine learning initiatives, data acquisition, model inputs, and ...

In addition, this role will assist with curation and analysis of various other datasets and assist teams with integrating new data and information into existing and new reports. JOB DUTIES • Serves ...

Data Analyst DEPARTMENT: St. Joseph County Department of Health WORK SCHEDULE: 8:00 a.m. - 4:30 p.m ... Creates reports for internal and external use and may assist with collating Department annual ...

In addition, this role will assist with curation and analysis of various other datasets and assist teams with integrating new data and information into existing and new reports. JOB DUTIES • Serves ...

... * Assist in the implementation and optimization of ERP and other enterprise systems from a data ... Perform ad-hoc analysis to answer specific business questions. * Lead or participate in data-driven ...

HR Data Analyst

Indianapolis, IN · On-site

$70K - $80K/yr

Monitor and maintain employee data integrity across multiple systems. * Assist with compensation analysis, benefits reporting, and workforce planning initiatives. * Research and resolve data ...

Jr Data Analyst

Indianapolis, IN · On-site

$40K - $45K/yr

Jr. Data Analyst Location: Onsite - Indianapolis, IN Pay: Up to $45K Direct Hire Pinnacle Partners ... or AI assistants like Claude Maintain strict confidentiality when handling sensitive customer ...

HR Data Analyst

Indianapolis, IN · On-site

$70K - $80K/yr

Monitor and maintain employee data integrity across multiple systems. * Assist with compensation analysis, benefits reporting, and workforce planning initiatives. * Research and resolve data ...

You'll research and analyze court documents, coordinate with local and state law enforcement agencies, and maintain accurate records in state data systems - work that directly supports public safety ...

Senior Database Analyst

Crane, IN

$86K - $108K/yr

Dive into exciting opportunities in Cybersecurity, IT, Data Analytics and more. Propel your career ... As a core member, you will assist in the research & design, engineering, integration, testing ...

Senior Database Analyst

Crane, IN · On-site

$86K - $108K/yr

Dive into exciting opportunities in Cybersecurity, IT, Data Analytics and more. Propel your career ... As a core member, you will assist in the research & design, engineering, integration, testing ...

Showing results 41-60

Assistant Data Analytics information

What is an assistant data analytics?

Assistant Data Analytics professionals support data analysts and data scientists by preparing data, running basic analyses, and generating reports. They help collect, clean, and organize data so it can be used for business insights and decision-making. Their role often includes using spreadsheets, databases, and visualization tools to present findings clearly. This position is ideal for those starting in data analytics, as it offers hands-on experience with data processes and tools.

What are the key skills and qualifications needed to thrive as an assistant data analytics, and why are they important?

To thrive as an Assistant Data Analytics professional, you need strong analytical skills, a foundational understanding of statistics, and a relevant degree in fields such as mathematics, computer science, or economics. Familiarity with data analysis tools like Excel, SQL, and visualization software such as Tableau or Power BI is typically required. Attention to detail, problem-solving abilities, and effective communication are valuable soft skills for interpreting and presenting data insights. These skills and qualities are essential for supporting data-driven decision-making and ensuring accurate, actionable results in business environments.

What are some typical challenges faced by an assistant data analytics professional, and how can they be addressed?

Assistant Data Analytics professionals often encounter challenges such as managing large and sometimes incomplete datasets, prioritizing tasks among competing deadlines, and effectively communicating technical findings to non-technical team members. Building strong organizational skills and becoming proficient with data cleaning tools can help manage data quality issues. Regular collaboration with senior analysts and clear communication with stakeholders can also make it easier to navigate complex projects and bridge gaps between technical analysis and business insights.

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

AspectAssistant Data AnalyticsData Analyst
Required CredentialsBachelor's degree in data science, statistics, or related fieldBachelor's or higher in data science, statistics, or related field
Work EnvironmentSupportive team, entry-level tasks, data collection and cleaningAnalyzing data, creating reports, providing insights
Employer & Industry UsageCommon in tech, finance, healthcare, and consulting firmsWidely used across industries for data-driven decision making

Assistant Data Analytics roles typically involve supporting data analysis tasks, focusing on data collection and cleaning, while Data Analysts perform in-depth analysis, generate reports, and provide strategic insights. Both roles require similar educational backgrounds, but Data Analysts usually have more experience and responsibilities.

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 Assistant Data Analytics jobs?

Cities in Indiana with the most Assistant Data Analytics job openings:

Data Management Analyst

Peerless Technologies

Crane, IN

Full-time

Posted 7 days ago


Job description

Peerless is seeking a skilled Data Management Analyst to develop, configure, maintain, and enhance data management systems, databases, reporting solutions, and business intelligence tools. The successful candidate will support data governance, analytics, reporting, system administration, and data science initiatives while working closely with stakeholders to develop technical solutions and ensure the integrity, accessibility, and effective use of organizational data.

Key Responsibilities

  • Administer and maintain enterprise databases, data repositories, and document management systems.
  • Manage data collection, validation, integration, import/export, storage, and retrieval processes.
  • Monitor database performance, data quality, and system functionality to ensure data integrity and reliability.
  • Manage user access, permissions, and database troubleshooting activities.
  • Develop and maintain reports, dashboards, metrics, and analytical products supporting organizational decision-making.
  • Develop databases, reporting applications, and automated workflows using tools such as Excel, Access, SQL Server, .NET, and Power BI.
  • Generate routine and ad hoc reports, analyses, and performance metrics.
  • Develop, configure, and enhance business systems, applications, and reporting solutions.
  • Support system upgrades, testing, implementation, and ongoing maintenance.
  • Support data science and advanced analytics initiatives through data collection, preparation, analysis, and modeling.
  • Assist with machine learning initiatives, data acquisition, model inputs, and development of data products.

Requirements

  • Bachelor's degree in Information Systems, Data Analytics, Computer Science, Business, Mathematics, Statistics, or a related field.
  • Experience managing databases, data repositories, and reporting systems.
  • Experience developing reports, dashboards, and analytical products.
  • Proficiency with Microsoft Excel, Microsoft Access, SQL, and database/reporting technologies.
  • Knowledge of database structures, data management, and data governance principles.
  • Strong analytical, problem-solving, communication, and organizational skills.
  • Ability to manage multiple projects and priorities in a dynamic environment.

Preferred Qualifications

  • Experience with SQL Server, .NET, Power BI, Tableau, Python, or R.
  • Knowledge of data science, machine learning, and data modeling methodologies.
  • Experience supporting enterprise information systems or business intelligence environments.
  • Familiarity with cloud-based data platforms and data integration technologies.
  • Experience with process improvement and workflow automation.