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Assistant Data Analytics Jobs in Indiana (NOW HIRING)

Participate with other Data Analyst(s) as needed to define minimal viable data assets in support of the visual needs. * Assist the PO in estimating scope and time as it relates to development of data ...

Key Responsibilities * Assist in the development of a multiyear Data, Analytics, and AI roadmap , aligned with the Munich Re Target Architecture and Roadmap Development Process, in collaboration with ...

Key Responsibilities * Assist in the development of a multiyear Data, Analytics, and AI roadmap , aligned with the Munich Re Target Architecture and Roadmap Development Process, in collaboration with ...

Key Responsibilities * Assist in the development of a multiyear Data, Analytics, and AI roadmap , aligned with the Munich Re Target Architecture and Roadmap Development Process, in collaboration with ...

Key Responsibilities * Assist in the development of a multiyear Data, Analytics, and AI roadmap , aligned with the Munich Re Target Architecture and Roadmap Development Process, in collaboration with ...

Key Responsibilities * Assist in the development of a multiyear Data, Analytics, and AI roadmap , aligned with the Munich Re Target Architecture and Roadmap Development Process, in collaboration with ...

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 Analysis Group - Strategic Business Analyst

Noblesville, IN • On-site

Full-time

Re-posted 3 days ago


Job description

PURPOSE

The Business Intelligence (BI) Analyst work directly with analysts and business team members to understand the

analytical needs of the organization and develop reporting solutions to serve those needs. The role will investigate,

analyze, and fix issues in all areas of the environment and assist in implementing new Business Intelligence solutions.

ESSENTIAL DUTIES

· Develops, implements, and maintains reporting solutions for monitoring and analyzing business performance with an

emphasis on interactive dashboards.

· Assists with the development of ad hoc queries and analyses

· Ensures completeness, correctness, and timeliness of all published dashboards and reports through rigorous monitoring and

data validation.

· Troubleshoots and drives successful resolutions to all development related issues

· Assists in conducting peer reviews of BI applications and ensures recommended changes are made

· Assists in creating and maintains documentation on BI applications and source extraction applications

· Assists with the planning and continued refinement of the BI application deployment processes.

· Assists with the troubleshooting and makes recommendations to correct deployment related issues.

· Other duties as assigned

PHYSICAL DEMANDS/WORK ENVIRONMENT

· Working conditions are typical for an office environment

· Work requires extensive work using a computer

· Maintain seated posture/position for eight of more hours per day

· Responsibilities may require evening and weekend work in response to needs of the systems being supported

MINIMUM REQUIREMENTS

· Experienced in developing solutions using BI software

· Knowledgeable in the design of GUI (graphical user interface) for interactive BI dashboards

· Basic level skill in integrating data using BI software

· Basic level skill in scripting

· Candidate should possess strong background in Data Analysis and have some data modeling experience

· Basic level skill in using SQL

· Experience in a Data Warehouse environment reporting on dimensions/hierarchies

· Bachelor's degree in Computer Science, Math or Business or equivalent plus three (3) years related work experience

· Strong organizational skills, excellent communication and presentation skills

· Strong knowledge of the SDLC (Software Development Life Cycle) process is preferred

· Strong knowledge and understanding of databases and applications development concepts

· Proficient in Word, Excel, Windows-based applications

· Capable of multitasking & prioritizing in a fast paced and agile work environment

· Attention to detail, consistency, and a passion to produce a quality product

· Must be able to read/write/speak and understand English