Data Analyst

Global Connect Technologies; Michigan; On-site; USD 45,000 - 75,000; Full time

Job summary

Global Connect Technologies in the United States is seeking an entry-level Data Analyst with strong Python and SQL skills and a basic understanding of Machine Learning. The candidate will analyze data, identify trends, automate data-related tasks, and support data-driven decision-making.

Responsibilities include data extraction, cleaning, EDA, creating reports and dashboards, and collaborating with cross-functional teams to solve data-related problems.

Qualifications

• Strong Python and SQL foundations.
• Basic understanding of Machine Learning concepts.
• Experience with Pandas, NumPy, and scikit-learn.
• Data cleaning, data visualization, and statistics fundamentals.
• Strong analytical and problem-solving abilities.
• Hands-on projects or internships in data analytics or ML are a plus.

Responsibilities

• Extract, clean, and analyze data using SQL and Python.
• Perform exploratory data analysis (EDA) and identify trends and patterns.
• Apply basic statistical analysis and Machine Learning techniques.
• Build and evaluate predictive models to support business needs.
• Create reports, dashboards, and visualizations to communicate insights.
• Collaborate with cross-functional teams to solve data-related problems.

Skills

Python

SQL

ML concepts

Pandas

NumPy

scikit-learn

Data cleaning

Data visualization

Statistics

Analytical

Education

Bachelor's or Master's degree in CS/DS/Statistics/Engineering or related field

Job description

Please connect with me [here] to discuss further

Experience:

3 years

Role Overview

Seeking an entry-level Data Analyst with strong Python and SQL skills and a basic understanding of Machine Learning. The candidate will analyze data, identify trends, automate data-related tasks, and support data-driven decision-making.

Key Responsibilities

• Extract, clean, and analyze data using SQL and Python.
• Perform exploratory data analysis (EDA) and identify trends and patterns.
• Apply basic statistical analysis and Machine Learning techniques.
• Build and evaluate predictive models to support business needs.
• Create reports, dashboards, and visualizations to communicate insights.
• Collaborate with cross-functional teams to solve data-related problems.

Required Skills

• Strong foundation in Python and SQL.
• Knowledge of Machine Learning concepts and algorithms.
• Familiarity with Pandas, NumPy, and scikit-learn.
• Understanding of data cleaning, data visualization, and statistics.
• Strong analytical and problem-solving skills.

Qualifications

• Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Engineering, or a related field.
• Internship experience, academic projects, or up to 3 years of relevant experience.
• Hands-on projects in data analytics or Machine Learning are a plus.