Junior Data Analyst
WhatJobs7 months ago
Detroit, Michigan, United States
Hybrid
Full-time
Junior Level (1-3 years)
Job Description
Position Overview
Our client is seeking a highly motivated and analytical Junior Data Analyst to join their dynamic team in Detroit, Michigan, US. This is an excellent opportunity for a recent graduate to gain hands-on experience in data interpretation, reporting, and driving business insights. The successful candidate will work closely with senior analysts and various departments to extract, transform, and analyze complex datasets.
Key Responsibilities
- Assist in the collection, cleaning, and organization of data from various sources.
- Perform exploratory data analysis to identify trends, patterns, and anomalies.
- Develop and maintain reports, dashboards, and visualizations to communicate findings to stakeholders.
- Support the development and implementation of data models and statistical analyses.
- Collaborate with cross-functional teams to understand their data needs and provide relevant insights.
- Contribute to the documentation of data processes and methodologies.
- Stay updated with the latest data analysis tools and techniques.
- Participate in team meetings and contribute to strategic data initiatives.
- Ensure data accuracy and integrity throughout the analysis process.
- Assist in ad-hoc data requests and projects as assigned by management.
Required Qualifications
- Bachelor's degree in a quantitative field such as Statistics, Mathematics, Computer Science, Economics, or a related discipline.
- Strong understanding of statistical concepts and methods.
- Proficiency in SQL for data extraction and manipulation.
- Familiarity with data visualization tools like Tableau, Power BI, or similar.
- Basic knowledge of programming languages such as Python or R is a plus.
- Excellent analytical and problem-solving skills.
- Strong attention to detail and accuracy.
- Effective communication and interpersonal skills.
- Ability to work both independently and as part of a team.
- Eagerness to learn and develop new skills in a fast-paced environment.
Benefits & Perks
- Hybrid Work Environment: Blend of in-office collaboration and remote flexibility.
- Opportunity to work closely with experienced senior analysts.
- Gain hands-on experience in data analysis and business insights.
Required Skills
Python
Data Analysis
Tableau
SQL
Data Visualization
Statistical Analysis