Data Analyst

Pioneer East Group; Detroit (MI); On-site; USD 65,000 - 90,000; Full time

Benefits offered by this job

Health insurance

Retirement plan with employer matching

Professional development opportunities

Flexible work arrangements

Paid time off

Job summary

Pioneer East Group in Detroit, MI is seeking a Data Analyst to collect, clean, and analyze large datasets, and to develop dashboards that reveal actionable insights for business decisions. You will work with cross-functional teams, ensure data quality, and present findings to stakeholders.

A Bachelor's degree and 2+ years' experience with SQL, Python, and Excel are required. Tableau experience is preferred.

Qualifications

• Degree in data analysis, statistics, computer science, or related field.
• 2+ years of experience in data analysis or similar role.
• Proficiency in SQL, Python, and Excel.
• Strong analytical and attention to detail; excellent communication.

Responsibilities

• Collect, clean, and analyze large datasets to identify trends and insights.
• Develop and maintain dashboards and reports to visualize data findings.
• Collaborate with cross-functional teams to understand business needs and provide data-driven solutions.
• Implement data quality checks and ensure data integrity across systems.
• Stay updated with the latest data analysis tools and techniques to improve processes.

Skills

SQL

Python

Excel

Education

Bachelor's degree in Data Science/Statistics/Computer Science or related field

Tools

Tableau

Job description

Pioneer East Group, a key player in automotive manufacturing, is hiring a Data Analyst in Detroit, MI. This full-time position offers a negotiable salary and is open until November 23, 2026.

As a Data Analyst, you will play a crucial role in analyzing data to support strategic decisions and improve operations. Your primary responsibility will involve collecting data from various sources, which could include databases, spreadsheets, or even external data providers. Once collected, you will process this data to ensure its accuracy and relevance, which might involve cleaning, transforming, or aggregating the data. After processing, you will interpret the data to identify trends, patterns, and insights that can provide valuable information for decision-making. This could involve creating visualizations, such as charts or graphs, to make the data more understandable. Additionally, you may need to present your findings to stakeholders, explaining the implications of your analysis and recommending actions based on your insights. Your work will be essential in helping the organization make informed decisions and achieve its goals.

You will work with a team of professionals in a dynamic environment in Detroit, MI. The role involves collaboration and communication to ensure data accuracy and relevance.

The salary is negotiable, and benefits may include comprehensive health insurance coverage, retirement plans with employer matching contributions, and professional development opportunities such as workshops, training programs, and access to industry conferences. Additionally, the role may offer flexible work arrangements, paid time off, and a supportive work environment that encourages work-life balance.

You should have a degree in data analysis, statistics, or a related field. Experience with data analysis tools like SQL, Excel, or Tableau is required. Strong analytical skills and attention to detail are essential.

• Collect, clean, and analyze large datasets to identify trends and insights.
• Develop and maintain dashboards and reports to visualize data findings.
• Collaborate with cross-functional teams to understand business needs and provide data-driven solutions.
• Implement data quality checks and ensure data integrity across our systems.
• Stay updated with the latest data analysis tools and techniques to continuously improve our analytical processes.
• Bachelor's degree in Data Science, Statistics, Computer Science, or a related field.
• 2+ years of experience in data analysis or a similar role.
• Proficiency in SQL, Python, and Excel.
• Strong problem-solving skills and attention to detail.
• Excellent communication and interpersonal skills.