Data and Analytics Lead

Midland Transport Ltd.

Dieppe

On-site

CAD 80,000 - 100,000

Full time

14 days+

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Benefits offered by this job

Flexible health, drug, dental, and vision plan

RRSP matching program

Employee & Family Assistance Programs

Health & Wellness reimbursements

3 weeks' paid vacation

Maternity leave top-up program

Growth and progression opportunities

Job summary

Midland Transport Ltd. in Dieppe, NB, is seeking a Data and Analytics Lead to support the Maintenance domain. In this role, you will serve as the primary data and analytical lead, ensuring data integrity and delivering insights that inform product design, process optimization, and decision-making.

The ideal candidate will have 5-8 years of experience in data analysis or business intelligence, along with proficiency in tools like Power BI and SQL. Enjoy a dynamic work environment with benefits that include a flexible health plan, RRSP matching, and 3 weeks' paid vacation.

Qualifications

5-8 years of experience in data analysis, business intelligence, or data engineering.
Proficient in SQL, data modeling, and data quality management practices.
Data Analytics certification (e.g., Microsoft Certified: Data Analyst Associate) considered an asset.

Responsibilities

Act as the data and analytics lead for Maintenance.
Document and align data flows with transformation goals.
Deliver insights and reporting that support decisions and business cases.

Skills

Data analysis

Business intelligence

Data engineering

Data visualization (Power BI, Tableau)

SQL

Data quality management

Communication Skills

Education

Applicable degree or relevant experience

Tools

Data visualization tools

Job description

Midland Transport is currently seeking a Data and Analytics Lead in Dieppe, NB. The Data and Analytics Lead is a transformation role within the Pursuit Program, accountable for serving as the primary data and analytical lead for the Maintenance domain. This role provides deep expertise in how data moves across the business—how it is created, consumed, transformed, and connected—to support integration design, operational insight development, and evidence-based decision-making throughout the transformation lifecycle.

The Data and Analytics Lead bridges the gap between business operations and data architecture by mapping current-state data flows, identifying data quality gaps, and defining future-state data requirements that align with integration strategies and platform modernization objectives. They translate complex data relationships into clear, actionable insights that inform product design, process optimization, and business case development.

This role partners closely with Business Architects, Solution Architects, Integration Leads, Product Owners, and Operations stakeholders to ensure data integrity, analytical rigor, and alignment between domain-specific data needs and enterprise-wide data strategy—enabling confident, data-driven decisions across the transformation.

Benefits To Joining Midland:

A dynamic, safe, and rewarding work environment
A flexible health, drug, dental, and vision plan
RRSP matching program
Employee & Family Assistance Programs
Health & Wellness reimbursements, includes gym memberships, fitness classes or online workout programs
3 weeks' paid vacation
Maternity leave top-up program
Growth and progression opportunities within Midland Transport and large network of the JD Irving group of companies

Responsibilities

Act as the data and analytics lead for Maintenance, building deep understanding of data across systems and processes.
Document and align data flows with transformation goals.
Deliver insights and reporting that support decisions, process design, and business cases.
Analyze current and future data flows to identify gaps, dependencies, and improvement opportunities.
Collaborate with architects and integration leads to ensure accurate data requirements in solution design.
Define and enforce data quality standards, validation rules, and exception handling.
Support data governance, including cataloging, metadata, and master data consistency.

Qualifications

5-8 years of experience in data analysis, business intelligence, or data engineering within operational or transformational environments.
Applicable degree or relevant experience
Proven experience mapping data flows and multi-system environments.
Demonstrated ability to translate operational data into actionable business insights for senior stakeholders.
Experience working with Agile, hybrid, or phased delivery models in enterprise programs.
Deep understanding of data architecture concepts, data flow mapping, and integration patterns.
Proficiency in data visualization tools (e.g., Power BI, Tableau) and analytical platforms.
Proficient in SQL, data modelling, and data quality management practices.
Ability to work effectively across business and technical teams, translating between operational language and data/system terminology.
Excellent communication skills, capable of presenting data-driven findings and recommendations to senior leaders and cross-functional teams.
Data Analytics certification (e.g., Microsoft Certified: Data Analyst Associate, Google Data Analytics Professional Certificate) considered an asset.

Job Info