Entry-Level Operations Analyst: Data Insights (Remote)

Jobright.ai; Canada; Remote; CAD 42,000 - 62,000; Full time

Job summary

Jobright is seeking an Entry-Level Operations Analyst to turn operational and product data into clear insights, gathering requirements, analyzing business processes, and building reports while collaborating with various teams across the company.

Responsibilities include documenting requirements, analyzing data for trends, building recurring dashboards, translating questions into analyses, identifying process gaps, validating data quality, and communicating findings to technical and business

Qualifications

• Bachelor's degree or equivalent experience in Business, Economics, Analytics, Information Systems, or a related field.
• Strong analytical reasoning and attention to detail.
• Proficiency with spreadsheets and comfort working with structured data.
• Clear written, verbal, and presentation skills.
• Ability to organize priorities and collaborate in a remote environment.

Responsibilities

• Gather and document business requirements, workflows, and success metrics.
• Analyze operational, customer, and product data for trends and opportunities.
• Build recurring reports, dashboards, and concise decision-support materials.
• Translate stakeholder questions into structured analyses.
• Identify process gaps and recommend practical improvements.
• Validate data quality and investigate unexpected results.
• Track project outcomes and communicate findings to technical and business teams.

Skills

Analytical thinking

Attention to detail

Spreadsheets

Communication skills

Remote collaboration

Education

Bachelor's degree or equivalent

Tools

SQL

BI tools

Data visualization software

Job description

Jobright is seeking an Entry-Level Operations Analyst to turn operational and product data into clear insights, gathering requirements, analyzing business processes, and building reports while collaborating with various teams across the company.

Responsibilities include documenting requirements, analyzing data for trends, building recurring dashboards, translating questions into analyses, identifying process gaps, validating data quality, and communicating findings to technical and business