Remote Data Analyst I: Insights & Reporting

Cambium Learning Group; United States; Remote; USD 60,000 - 78,000; Full time

Job summary

Cambium Learning Group in the United States is seeking a Data Analyst I to transform complex data into actionable insights that support decision-making and operations. This role combines analytics, reporting, and collaboration to improve data processes and information systems initiatives.

The ideal candidate is detail-oriented, capable of working independently, and able to communicate technical findings clearly to diverse audiences. Remote-first, US-residency required with reliable broadband.

Qualifications

• Bachelor’s degree in MIS, Statistics, Mathematics, Business Management or related field with 3+ years experience in databases and SQL.
• Detail-oriented with strong data and quantitative skills.
• Ability to clearly organize thoughts and convey complex concepts to diverse audiences.

Responsibilities

• Integrate data from multiple data sets and translate findings into actionable insights for stakeholders.
• Experience in setting up, deploying, configuring, and monitoring multiple systems.
• Provide timely, accurate management reporting and data reviews.
• Create innovative solutions for complex data analysis requests.
• Assist in development of additional information system projects.
• Verify data quality to ensure accurate analysis and reporting.

Skills

Attention to detail

Data analysis

Written and verbal communication

Problem solving

Autonomous work

Scripting experience

Education

Bachelor’s degree in MIS/Statistics/Mathematics/Business Management or related field

Master's degree with 1+ year experience

Tools

SQL Server

SQL Reporting Services

Excel

Access

Python

R

Job description

Cambium Learning Group in the United States is seeking a Data Analyst I to transform complex data into actionable insights that support decision-making and operations. This role combines analytics, reporting, and collaboration to improve data processes and information systems initiatives.

The ideal candidate is detail-oriented, capable of working independently, and able to communicate technical findings clearly to diverse audiences. Remote-first, US-residency required with reliable broadband.