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Finning

Fleet Data & Reporting Specialist

Edmonton, AB, Canada

Job type: Full-time
Apply by: Oct 5, 2026
Posting language: English
Posted: Sep 24, 2026

Apply About employer

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Original job description

Company:

Finning Canada

Number of Openings:

Worker Type:

Permanent

Position Overview:

At Finning, we help customers maximize the performance, reliability, and value of their equipment fleets. We are seeking a Permanent, Full-Time Fleet Data & Reporting Specialist to act as a key liaison between customers, Reliability Engineers (REs), Site Performance Managers (SPMs), and internal IT and data teams. In this role, you will ensure customer fleet data is accurately collected, standardized, governed, and transformed into actionable reporting and analytics that drive business decisions.

This is an exciting opportunity for a data-driven professional who enjoys working directly with customers, solving data challenges, and leveraging technology, automation, and AI-enabled tools to improve fleet performance insights for some of Finning's largest customers.

This position will be based in Edmonton.

If this interests you, consider applying today!

Job Description:

What You'll Do

Data Management & Customer Engagement

Work directly with customers and site teams to collect operational, maintenance, and fleet performance data.
Develop and maintain standardized data requirements, structures, reporting formats, and governance processes across customers and regions.
Establish and support a single source of truth for customer operational and maintenance data.
Collaborate with customers, REs, SPMs, and IT stakeholders to address data access, integrity, and quality issues.
Identify opportunities to improve data reliability, consistency, and usability across the organization.

Reporting & Analytics

Create, maintain, and enhance recurring reports and dashboards for Reliability Engineers, Site Performance Managers, Regional Managers, and Executive Leadership.
Translate business questions and operational challenges into meaningful data insights and reporting solutions.
Analyze large and complex datasets to identify trends, performance opportunities, and actionable recommendations.
Support decision-making by providing accurate, timely, and reliable reporting.

Process Improvement & Automation

Reduce manual reporting and improve operational efficiency through automation, scripting, and AI-enabled technologies.
Design, document, and maintain repeatable workflows for customer data acquisition, validation, processing, storage, and reporting.
Drive continuous improvement initiatives that enhance scalability, accessibility, and consistency of fleet data management processes.
Promote best practices in data governance, reporting standards, and process documentation.

What You'll Bring

Required Qualifications

Experience working with operational, maintenance, reliability, asset management, or fleet-related data.
Strong understanding of maintenance and reliability metrics, KPIs, and performance reporting.
Proven analytical and problem-solving skills with the ability to work effectively with large and complex datasets.
Experience developing reports, dashboards, and executive-level presentations.
Strong ability to collaborate with customers and cross-functional stakeholders.
Demonstrated ability to translate business requirements into practical data management and reporting solutions.

Technical Skills

Data management, governance, analytics, and reporting.
Experience with Power BI, SQL, Excel, Python, or similar analytical tools.
Process automation and AI-enabled workflow solutions.
Data validation, cleansing, and quality management.
Ability to work effectively with incomplete, inconsistent, or complex datasets.

Interpersonal Skills

Strong communication and stakeholder management skills.
Customer-focused mindset with the ability to build effective working relationships.
Highly organized with strong attention to detail.
Results-oriented with a hands-on, proactive approach.
Strong ownership, accountability, and continuous improvement mindset.

Preferred Qualifications

Experience within mining, heavy equipment, construction, industrial services, or other asset-intensive industries.
Knowledge of fleet performance metrics, reliability engineering principles, maintenance planning, and equipment lifecycle management.
Familiarity with Caterpillar equipment, fleet management systems, telematics platforms, or operational technology solutions.
Experience leveraging automation, data integration, or artificial intelligence tools to improve reporting efficiency and business outcomes.

Why Join Finning?

At Finning, you'll have the opportunity to work with industry-leading equipment, technology, and data while helping customers improve fleet performance and operational outcomes. You'll collaborate with a diverse group of experts and play a critical role in shaping scalable data and reporting solutions that drive decision-making across the business.

Join Finning and help transform data into actionable insights that maximize customer value and equipment performance.

At Finning, we prioritize creating a diverse and inclusive environment. We are proud to be an equal opportunity employer, and we actively encourage all individuals to express themselves and achieve their full potential. As a company, we continuously strive to enhance our outreach to individuals of all backgrounds and identities. We do not discriminate against applicants based on gender identity, race, national and ethnic origin, religion, age, sexual orientation, marital and family status, and/or mental or physical disabilities. Furthermore, Finning is committed to collaborating with and providing reasonable accommodations /adjustments to individuals with disabilities. If you require an adjustment/accommodation at any point during the recruitment process, please inform your recruiter.

Apply About employer

More about this job

Responsibilities

The specialist will act as a liaison between customers and internal teams to collect, standardize, and govern fleet data. They will also develop automated reporting solutions and dashboards to provide actionable insights for business decision-making.

Requirements

Candidates should have experience with operational, maintenance, or fleet-related data and proficiency in analytical tools like Power BI, SQL, and Python. Strong problem-solving skills and the ability to translate business requirements into data solutions are essential.

Skills

Data management
Data governance
Reporting
Analytics
Power BI
SQL
Excel
Python
Process automation
AI-enabled tools
Data validation
Data cleansing
Stakeholder management
Communication
Reliability engineering
Fleet management

Benefits

Equal opportunity employer
Inclusive work environment
Reasonable accommodations for disabilities

Visa sponsorship

Not detected in the job text

Keywords

Fleet Data
Reliability Engineering
Data Governance
Power BI
SQL
Python
Automation
Artificial Intelligence
KPIs
Data Analytics
Asset Management
Telematics
Maintenance Planning
Caterpillar Equipment
Data Quality
Reporting
Dashboards
Operational Technology
Stakeholder Management
Process Improvement

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