Junior Data Analyst

ImportGenius • Full-time • Tucson, AZ, US • 3m ago

🚨 PLEASE READ – On-Site Requirement

This position is primarily remote; however, we are seeking candidates based in Tucson, AZ (preferred) or Phoenix, AZ, who can attend in-person meetings once or twice per month.

About this Job

ImportGenius provides access to large-scale global trade data from multiple countries. We transform complex import-export datasets into meaningful insights that help businesses make smarter decisions.

We are looking for a Junior Data Analyst who is detail-oriented, analytical, and excited to start their career in data. This role is ideal for fresh graduates with no or minimal prior job experience who want hands-on exposure to real-world datasets, SQL analytics, and business intelligence tools.

You will work closely with the Director of Research and collaborate with internal teams to support analytics projects and customer data needs. Our research department also works closely with international media and engages in work with significant real-world impacts, such as tracking the footprint of tainted, dangerous medications in global supply chains and investigating deforestation.

Responsibility and Accountability

As a Junior Data Analyst, you will:

Write and improve SQL queries to extract and analyze data
Assist in generating customized datasets based on business or customer requirements
Help clean, validate, and check data for quality and accuracy
Support analytics projects involving large datasets
Create basic dashboards and reports using BI tools
Help analyze requests for feasibility (with guidance)
Translate business questions into data-driven approaches (with guidance)
Document processes and findings clearly
Collaborate with technical and non-technical teams

This role blends learning with contribution, so you’ll gradually take on more complex tasks as your skills grow. Your responsibilities, title, and compensation have room to grow with success.

We’re committed to helping you grow your data analytics foundations, including:

Basic familiarity with SQL or querying structured data
Working with large-scale relational databases
Data cleaning and validation best practices
Understanding data models and ELT workflows
Business Intelligence and dashboard creation
Communicating insights clearly and professionally

Preferred Qualifications and Skills

Bachelor’s degree in Data Science, Computer Science, Information Systems, Mathematics, Statistics, Engineering, or a related field
Understanding of basic data concepts
Strong analytical and problem-solving skills
Good communication skills and willingness to collaborate
Eagerness to learn and grow in a fast-paced environment

Nice to Have (Not Required):