Junior Data Analyst

Yugal Tech Academy; Los Angeles (CA); On-site; USD 55,000 - 70,000; Full time

Job summary

A data technology academy in Los Angeles is seeking a Junior Data Analyst to support data-driven decision-making by working with structured datasets related to customer behavior and financial trends. This entry-level role is perfect for those looking to build a strong foundation in data analytics and advance into AI and machine learning roles. The ideal candidate should be proficient in Python, SQL, and Excel, with strong communication skills. Opportunities to learn and grow in data science are available.

Qualifications

• Basic understanding of Python, SQL, and Excel.
• Knowledge of data visualization tools like Power BI or Tableau.
• Understanding of basic statistics concepts.

Responsibilities

• Support data-driven decision-making with structured datasets.
• Collect, clean, and preprocess datasets for analysis.
• Assist in building dashboards and visualizations to communicate trends.

Skills

Python

SQL

Excel

Data visualization tools

Tools

Power BI

Tableau

Job description

As a Junior Data Analyst, you will support data-driven decision-making by working with structured datasets related to customer behavior, transactions, and financial trends. This is an entry-level role designed for candidates who want to build a strong foundation in data analytics and gradually move into AI and machine learning roles.

Your daily work will involve collecting data from internal systems, cleaning and preprocessing datasets, and preparing them for analysis. You will work with tools such as Excel, SQL, and Python to extract insights and generate reports. You will also assist senior analysts and data scientists in building dashboards and visualizations that communicate trends clearly to business stakeholders.

You will learn how to perform exploratory data analysis (EDA), identify patterns, and support predictive modeling tasks. You may also assist in basic machine learning workflows, such as preparing training datasets and evaluating model outputs.

The role requires strong attention to detail, as financial data must be handled carefully and accurately. You will work closely with multiple teams, including business analysts, engineers, and product teams.

To succeed, you should have a basic understanding of Python, SQL, and Excel. Knowledge of data visualization tools like Power BI or Tableau is helpful. You should also understand basic statistics concepts such as mean, median, correlation, and distributions.

Strong communication skills are important, as you will present insights to non-technical teams. A willingness to learn, adapt, and grow in the field of data science is essential.

Job Category

Data Analyst