Data Analyst: Turn Questions into Actionable Insights

Bison Transport Inc; Winnipeg; On-site; CAD 65,000 - 85,000; Full time

Benefits offered by this job

Coaching and training

Wellness program

Extracurricular sports teams

Job summary

Bison Transport Inc. is seeking a Data Analyst to turn ambiguous business questions into scoped, data-backed analyses across Asset, Logistics, Intermodal, and LTL.

The role uses SQL, Python, and Power BI within a governed data environment to deliver actionable insights for operations, commercial, and leadership teams. Ideal candidates have 2–5 years in analytics, strong data manipulation skills, and the ability to translate findings for non-technical audiences.

Qualifications

• 2-5 years in analytics or data role delivering decision-grade work.
• Strong SQL with multi-table joins and data-quality validation.
• Proficient in Python for data analysis and scripting investigations.
• Power BI to build and maintain clear, accurate views.
• Able to explain technical work to non-technical audiences.

Responsibilities

• Translate open-ended questions into scoped, answerable analyses.
• Write and validate SQL against a governed data warehouse.
• Use Python for analysis, transformation, and investigations beyond SQL.
• Build focused Power BI views to visualize findings for stakeholders.
• Surface data-quality issues explicitly and state caveats where warranted.
• Communicate findings clearly to non-technical commercial and operational audiences.

Skills

SQL

Python

Power BI

Data analysis

Communication

Analytical thinking

Business understanding

Tools

Pandas

R

Job description

Bison Transport Inc. is seeking a Data Analyst to turn ambiguous business questions into scoped, data-backed analyses across Asset, Logistics, Intermodal, and LTL.

The role uses SQL, Python, and Power BI within a governed data environment to deliver actionable insights for operations, commercial, and leadership teams. Ideal candidates have 2–5 years in analytics, strong data manipulation skills, and the ability to translate findings for non-technical audiences.