Data Analyst

Driving Force Group of Companies Recruitment Team•Edmonton, AB

7d•Onsite

About The Position

The Driving Force Group of Companies is a network of world-class transportation and fleet management solutions companies. We're proud to be an Alberta success story that began in a rented office above a small service station. With a can-do attitude and people-first culture, we've grown into an industry leader, spanning over 40 locations with over 600+ employees. We are currently looking for a Data Analyst at our Edmonton corporate head office.

Requirements

A diploma or bachelor's degree in Business Analytics, Computer Science, Statistics, Information Systems, or a related quantitative field, with 0 to 3 years of relevant experience — co-op, internship, or applied project experience is genuinely welcome here.
Strong foundational SQL skills, including the ability to join, filter, aggregate, troubleshoot, and validate data across multiple sources, alongside working knowledge of Python for data analysis and automation.
A foundational understanding of data quality concepts, reporting datasets, KPIs, and business definitions, with exposure to cloud data environments.
Exceptional attention to detail and strong analytical problem-solving skills, with the ability to investigate data issues, think through root causes, and recommend practical next steps.
Clear, professional communication skills and a proactive, accountable mindset.

Nice To Haves

Familiarity with AWS, Snowflake, or DBT is a meaningful asset.

Responsibilities

Write, maintain, and troubleshoot SQL queries that power data analysis, reconciliation, reporting datasets, and validation, building the reliable data foundation that the broader analytics team and business leaders depend on.
Validate data across source systems, data lake outputs, warehouse models, and business reports. Investigate discrepancies, identify root causes, and communicate findings clearly to the team and stakeholders.
Support DBT transformations, data quality checks, testing, and documentation under the guidance of senior team members, while contributing to the company's ongoing migration toward Snowflake as the trusted analytics source.
Use Python to automate repeatable validation tasks, assist with data preparation, and support file processing and analytics pipeline activities.
Translate business questions into clear data requirements, analysis steps, and concise summaries, making complex findings accessible and actionable for both technical and non-technical audiences.