Junior Data Analyst

Role Overview

The Junior Data Analyst helps turn raw information into actionable insights that guide decision-making. This early-career position is ideal for someone looking to strengthen analytical capabilities, work with organized datasets, and partner with different teams to support business goals. It offers practical exposure to data preparation, reporting, and performance tracking tools.

Key Responsibilities

• Gather information from different sources, then clean, check, and standardize it so it remains accurate and consistent.
• Analyze datasets to uncover trends, patterns, and important performance signals.
• Build routine and one-off reports, dashboards, and summaries for internal teams.
• Support the creation of charts and visual outputs that make findings easier to understand and act on.
• Maintain databases and keep documentation organized and up to date.
• Collaborate with senior analysts to understand business needs and the approach used for analysis.
• Take part in data quality reviews and governance-related activities.
• Assist with automating repetitive data handling and reporting tasks whenever possible.
• Track key metrics and indicators to help measure performance.
• Contribute ideas that improve analysis workflows, tools, and processes.

Qualifications and Requirements

• A bachelor’s degree in Data Analytics, Statistics, Mathematics, Computer Science, Economics, or a similar discipline is required.
• Basic knowledge of data analysis concepts, statistics, and data structures is expected.
• Comfort with spreadsheets, databases, and visualization tools is important.
• Exposure to query languages or analytical scripting is an added advantage.
• Strong focus on detail and accuracy is necessary.
• You should be comfortable solving problems and thinking analytically.
• Ability to explain findings clearly to both technical and non-technical audiences is needed.
• Good organization and the ability to manage several tasks at once are important.
• A willingness to learn new tools, methods, and frameworks is essential.
• Academic projects, internships, or independent data analysis work will be considered a plus.

Summary

This role is a strong entry point into data analytics, offering hands-on experience in converting raw data into insights that support both day-to-day operations and strategic decisions. It also provides a practical foundation for long-term growth through collaboration and ongoing learning.

Additional Information

The position is part-time and based onsite in California, United States. No stipend or salary amount was specified in the source.