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Assistant Data Analyst Training Jobs in Michigan

Bay Mills Indian Community

Database Analyst

Brimley, MI · On-site

... that data that assist management's review and implementation efforts. ESSENTIAL FUNCTIONS: 1. ... analysis purposes. 3. Provides technical and organizational support for the Marketing, Slots and ...

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Assistant Data Analyst Training information

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

AspectAssistant Data Analyst TrainingData Analyst
Required CredentialsBasic certifications, training programsBachelor's degree in related field, certifications
Work EnvironmentEntry-level, supervised tasks, training settingsFull responsibilities, independent analysis
Employer UsageTraining programs, internships, entry rolesFull-time analyst roles in various industries
Search & Comparison IntentLearning path, entry-level roles, training optionsCareer advancement, job requirements, skills needed

Assistant Data Analyst Training focuses on preparing individuals with foundational skills through courses and internships, while Data Analyst roles involve performing independent data analysis tasks in professional settings. Training is ideal for beginners, whereas Data Analyst positions require more experience and technical expertise.

What are some common challenges faced by assistant data analysts during their training period, and how can they overcome them?

Assistant Data Analysts in training often encounter challenges such as adapting to new data analysis tools, understanding complex datasets, and translating business requirements into actionable insights. It's common to feel overwhelmed by the variety of data sources and the technical skills required, such as proficiency in Excel, SQL, or visualization tools. Overcoming these hurdles typically involves proactively seeking mentorship, participating in team discussions, and consistently practicing with real datasets to build confidence and competence. Collaborating closely with senior analysts and asking clarifying questions can significantly accelerate the learning process.

What is an assistant data analyst training program?

An Assistant Data Analyst Training program is a structured course or series of workshops designed to teach foundational data analysis skills. Participants learn how to collect, organize, and interpret data using tools such as Excel, SQL, and data visualization software. The training often covers basic statistics, data cleaning, and reporting techniques to prepare individuals for entry-level roles as data analysts. These programs are suitable for beginners and those looking to transition into data-related fields.

What are the key skills and qualifications needed to thrive as an assistant data analyst in training?

To thrive as an Assistant Data Analyst in training, you need a solid grounding in statistics, data interpretation, and a relevant educational background such as a degree in mathematics, statistics, or computer science. Familiarity with tools like Excel, SQL, and data visualization software, as well as basic knowledge of programming languages like Python or R, is highly beneficial. Attention to detail, analytical thinking, and effective communication are critical soft skills for interpreting data and collaborating with teams. These skills ensure accurate data analysis, meaningful insights, and clear reporting, which are essential for supporting organizational decision-making.

What are the most commonly searched types of Data Analyst Training jobs in Michigan?

The most popular types of Data Analyst Training jobs in Michigan are:

What cities in Michigan are hiring for Assistant Data Analyst Training jobs?

Cities in Michigan with the most Assistant Data Analyst Training job openings:

Assistant Data Analyst Training jobs near you

Dealer Audit - Data Analyst & AI Solutions

Stellantis

Auburn Hills, MI • On-site, Remote

Full-time

Re-posted 21 days ago

Stellantis rating

7.5

Company rating: 7.5 out of 10

Based on 130 frontline employees who took The Breakroom Quiz

14th of 44 rated automakers

Job description

The role requires a creative and detail-oriented individual. In this role, you will develop and respond to requests for data analysis to present a coherent vision of business activities, assisting the Dealer Audit teams and key stakeholders in making data-driven decisions. The selected candidate will provide a blend of technical and functional expertise. 

AI Solutions: The role drives the identification, design, pilot, and scaling of AI and automation solutions across Dealer Audit. The role works to deliver measurable impact through workflow optimization, improved customer and employee experience, and digital process transformation. This role supports the broader organizational mission to accelerate digital transformation and scale AI adoption. 

Key Responsibilities:

  • Analyze large and complex data sets from multiple sources to identify trends, patterns, and insights 
  • Work with stakeholders to propose, identify, and develop analytics requirements 
  • Build visualization or perform further analysis based on requirements identified 
  • Know business data and provide recommendations for improving knowledge and data quality 
  • Support audit teams in deepening their knowledge and utilization of data and AI within testing 
  • Stay up-to-date with the latest advancements in AI and data analytics technologies
  • Identify high-value AI, Copilot, and other automation opportunities to embed into daily operations
  • Conduct process mapping and problem analysis to define requirements and value hypotheses
  • Translate business needs into clear user stories, requirements, and acceptance criteria
  • Partner with stakeholders to ensure feasibility and solution integration
  • Develop deployment playbooks, documentation, and training assets
  • Create reusable templates, prompt libraries, workflows, or automation components
  • Define KPIs and measure performance, productivity, and financial outcomes
  • Ensure compliance with Stellantis' Responsible AI and Data Governance frameworks

Basic Qualifications: 

  • Bachelor’s Degree in Business, Data Science, Statistics, Business Analytics, Management Information Systems, or a related field 
  • A minimum of 5 years of experience as a Data Analyst, AI Analyst, or similar role 
  • Strong knowledge of data visualization tools such as PowerBI, Tableau, Qlik, or similar tools 
  • Familiarity with programming languages such as Python, R, SQL, NoSQL 
  • Familiarity with platforms such as Visual Studio Code, Databricks, Snowflake, Palantir Foundry 
  • Strong computer skills and highly proficient with Microsoft Office Suite (O365 / Online Collaboration Version) 
  • AI literacy: understanding capabilities, limitations, risks, and responsible use 
  • Flexible and adaptable to changing business environments and job responsibilities 
  • Excellent written and verbal communication skills in English 
  • Quantitative, analytical, and detail-oriented. Problem-solving skills 
  • Strong project management skills; effective & efficient completing numerous tasks simultaneously 

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