Lead Data Analyst - Python, Pipelines & Insights

LTM; Mississauga; On-site; CAD 70,000 - 95,000; Full time

Benefits offered by this job

Comprehensive Medical Plan Covering

Health Care Spending Account

Short Term and Long-Term Disability

Life Insurance

Annual vacation and other Paid Leaves

Maternity Leave Top Up Pay

Job summary

LTM is seeking a Data Analyst with 5 to 7 years of experience, proficient in Python, to drive data‑driven decision making and insights. You will analyze complex datasets, develop data pipelines, and collaborate with cross‑functional teams to deliver actionable analytics solutions.

Responsibilities include leading data analysis projects, building automated data collection systems using Python, and communicating findings to stakeholders with diagrams and reports, while mentoring junior analysts

Qualifications

• Data Analyst role requiring strong analytic skills and data modeling.
• Experience applying MySQL and Python to real datasets.
• Ability to transform data into actionable insights.

Responsibilities

• Lead data analysis projects ensuring timely and accurate delivery of results.
• Design and implement automated data collection and processing systems using Python.
• Communicate findings and recommendations to stakeholders through reports and presentations.
• Mentor junior analysts and provide technical guidance on best practices in data analysis.
• Stay updated with the latest developments in data analysis tools, techniques, and industry trends.
• Collaborate with IT and business teams to integrate data solutions into existing systems.

Skills

Data Analysis

Dimensional Data Modeling

MySQL

Python

Job description

LTM is seeking a Data Analyst with 5 to 7 years of experience, proficient in Python, to drive data‑driven decision making and insights. You will analyze complex datasets, develop data pipelines, and collaborate with cross‑functional teams to deliver actionable analytics solutions.

Responsibilities include leading data analysis projects, building automated data collection systems using Python, and communicating findings to stakeholders with diagrams and reports, while mentoring junior analysts