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Jr Data Analyst Jobs in Inkster, MI (NOW HIRING)

Tech Tammina LLC

Jr. IT Data Analyst

Warren, MI · On-site

Role: Jr. IT Data Analyst Location: Warren, MI Duration: Long term Rate: Market Required Qualifications: * Experience working with big data in a cloud environment , particularly Azure and Databricks

USM

Data Analyst-----Need GC and USC

Southfield, MI

Data Analyst Southfield, MI 6+ Months Need GC and USC we're looking for candidates with 3-5+ years of experience. Top 3 skills: Experience writing complex SQL queries Data warehousing concepts Health ...

Fusion Transport

Jr Account Executive

Auburn Hills, MI · On-site

The Jr Account Executive plays a crucial role in supporting the Brokerage Sales team by managing ... Ability to analyze data and generate reports to inform decision-making. * Strong organizational ...

Yeo & Yeo

Data/Financial Analyst

Troy, MI · On-site

$80 - $100/hr

Position Summary The Data/Financial Analyst will be responsible for compiling and interpreting different data sets across the firm to measure, track and explain trends to optimize financial ...

Yeo & Yeo

Data/Financial Analyst

Troy, MI · On-site

Position Summary The Data/Financial Analyst will be responsible for compiling and interpreting different data sets across the firm to measure, track and explain trends to optimize financial ...

Yeo & Yeo

Data/Financial Analyst

Troy, MI · On-site

Position Summary The Data/Financial Analyst will be responsible for compiling and interpreting different data sets across the firm to measure, track and explain trends to optimize financial ...

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All JobsJr Data Analyst JobsJr Data Analyst Jobs in Inkster, MI

Jr Data Analyst information

See Inkster, MI salary details

$32.3K

$74.3K

$119.3K

How much do jr data analyst jobs pay per year?

As of Sep 8, 2026, the average yearly pay for jr data analyst in Inkster, MI is $74,266.00, according to ZipRecruiter salary data. Most workers in this role earn between $53,300.00 and $76,300.00 per year, depending on experience, location, and employer.

What are some common challenges a Jr Data Analyst faces when transitioning from academic work to a professional environment?

Jr Data Analysts often find that adapting to the pace and expectations of a professional workplace can be challenging compared to academic projects. In a real-world setting, data may be messy or incomplete, requiring analysts to spend significant time on data cleaning and validation. Additionally, Jr Data Analysts may need to quickly learn company-specific tools and balance multiple projects with tight deadlines. Collaborating effectively with cross-functional teams—such as engineering, product, or marketing—also becomes important for delivering actionable insights that support business goals.

What are the key skills and qualifications needed to thrive as a Jr Data Analyst, and why are they important?

To thrive as a Jr Data Analyst, you need a solid understanding of statistics, data analysis, and foundational knowledge in SQL or Excel, typically supported by a relevant degree such as in mathematics, statistics, or computer science. Familiarity with data visualization tools (like Tableau or Power BI) and programming languages such as Python or R is highly beneficial. Attention to detail, problem-solving abilities, and effective communication are crucial soft skills for interpreting data and sharing insights with stakeholders. These competencies enable accurate data-driven decision-making and ensure clear, actionable reporting within organizations.

What is the difference between Jr Data Analyst vs Data Analyst?

AspectJr Data AnalystData Analyst
Required CredentialsAssociate's degree or related certificationBachelor's degree in data-related field, certifications optional
Work EnvironmentEntry-level, supervised, team-basedMore independent, project-driven
Employer & Industry UsageCommon in tech, finance, healthcare for entry rolesWider application across industries, more advanced roles
Search & Comparison IntentOften searched by beginners or those transitioning into data rolesCompared for career progression or skill enhancement

The main difference between a Jr Data Analyst and a Data Analyst lies in experience and responsibilities. Jr Data Analysts are typically entry-level, requiring fewer credentials, and work under supervision. Data Analysts have more experience, handle complex projects independently, and often hold higher qualifications. Both roles are vital in data-driven industries, but the Jr Data Analyst position serves as a stepping stone toward becoming a full Data Analyst.

How much do junior data analysts get paid?

Junior data analysts typically earn between $50,000 and $70,000 annually, depending on location, industry, and experience. Entry-level roles often require proficiency in tools like Excel, SQL, or Python, and may include benefits such as training and career development opportunities.

How to get a job as a Jr Data Analyst with no experience?

To get a junior data analyst position with no experience, focus on building foundational skills in Excel, SQL, and data visualization tools like Tableau or Power BI through online courses or certifications. Gain practical experience by working on personal projects, volunteering, or completing internships to demonstrate your abilities to employers.

What does a Jr. Data Analyst do?

A Jr. Data Analyst collects, organizes, and analyzes data to help organizations make informed decisions. They often use tools like Excel, SQL, or data visualization software and may assist in preparing reports or dashboards under supervision. This role typically requires strong attention to detail and basic knowledge of data analysis techniques.

What job categories do people searching Jr Data Analyst jobs in Inkster, MI look for?

The top searched job categories for Jr Data Analyst jobs in Inkster, MI are:

What cities near Inkster, MI are hiring for Jr Data Analyst jobs?

Cities near Inkster, MI with the most Jr Data Analyst job openings:

Jr Data Analyst jobs near you
Infographic showing various Jr Data Analyst job openings in Inkster, MI as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $74,266 per year, or $35.7 per hour.

Dealer Audit - Data Analyst & AI Solutions

Auburn Hills, MI • On-site

Stellantis
IT Services
Learn more about Stellantisexternal

Full-time

Re-posted 16 days ago

Stellantis rating

7.5

Company rating: 7.5 out of 10

Based on 131 frontline employees who took The Breakroom Quiz

13th of 45 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
  • Knowledge of risk management, control objectives/activities, and automated/manual controls
  • Proficiency in data collection, warehousing, transformation, and analysis

Preferred Qualifications:
  • Prior audit experience (financial, compliance, operational, or dealership/franchise)
  • Experience with automotive OEM dealership management systems
  • General understanding of the franchised dealership model
  • Experience with highly automated/digital processes; including but not limited to remote auditing techniques, claims processing, and optical recognition software
  • Advanced Degree in Business, Data Science, Statistics, Business Analytics, Management Information Systems, or a related field
  • 5+ years of (total) experience in the following areas:
    • Automotive (Retail) - In-depth knowledge of dealership retail processes and procedures, with emphasis on fixed operations departments.
    • Automotive (Technical) - In-depth knowledge of automotive technical information systems and repair/diagnostic procedures

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