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IT Business Analyst, Data & Business Intelligence - ASL Distribution (Oakville)

Fastfrate
12 hours ago
Contract
On-site
Oakville, ON, Canada
Indeed

ASL Distribution is an equal opportunity employer committed to creating a diverse, inclusive, and accessible workplace. We welcome applications from women, visible minorities, Indigenous peoples, persons with disabilities, and all qualified individuals. If you require an accommodation at any stage of the recruitment process, please contact us at accessibility@challenger.com and we will work with you to meet your needs. ASL Distribution Services Company Profile: ASL Distribution, part of the Fastfrate Group, is a leader in Canadian transportation, warehousing and fulfillment services, supporting top North American brands with efficient, customer focused solutions. With customized supply chain solutions, ASL’s transportation warehousing and fulfillment teams expertly manage the transportation, receiving, warehousing, picking, packing, and shipping of products with precision and efficiency. It’s an energetic, fast-paced environment, ideal for individuals who excel in teamwork, problem solving, and building efficient solutions to move goods through the supply chain. Why you’ll love working here: A workplace where you can learn, grow, and build your career A culture that encourages new ideas and continuous improvement Supportive leaders who provide guidance while giving you autonomy A team-focused environment A competitive total-rewards package, including group benefits and a company-sponsored retirement savings plan Support for professional memberships, training, and certifications The Opportunity: This is your chance to join a team where your work truly makes an impact. In this role, you will contribute directly to the success of our customers, our operations, and the Fastfrate Group as a whole. You’ll work in a supportive environment that values collaboration, problem-solving, and continuous learning. Role Summary: The IT Business Analyst is responsible for improving data quality, reporting, systems integration, and business processes across transportation, logistics, and distribution operations. Working closely with Operations, Finance, and IT teams, this role leverages data analytics, business intelligence, and technology solutions to enhance operational efficiency, strengthen financial accuracy, and support informed decision-making. The successful candidate will combine strong analytical skills with expertise in SQL, Python, Power BI, and enterprise systems to deliver scalable, data-driven solutions that drive business performance. Hours of Work: Monday to Friday, 8:00am – 4:30pm Work Arrangement: On-site Position Type: Non-Union Employment Status: Temporary (3-month contract with possibility of extension) Compensation: Hourly Range: $50.00 - $80.00/ hour Work Location & Environment: 2160 Buckingham Road, Oakville ON; Office environment Key Accountabilities: Business Intelligence & Reporting Develop, maintain, and enhance Power BI dashboards and operational KPI reports. Consolidate data from multiple business systems to improve reporting accuracy and visibility. Work with business stakeholders to gather reporting requirements and translate them into actionable dashboards. Automate recurring reports and improve the efficiency of data extraction and transformation. Data Cleansing & Quality Management Identify and resolve duplicate, missing, inconsistent, and inaccurate records across business systems. Develop automated data validation, cleansing, and reconciliation processes using SQL and Python. Investigate data discrepancies and work with technical and operational teams to address root causes. Establish ongoing data quality checks, exception reporting, and monitoring processes. Financial Data Consolidation & Reconciliation Support the consolidation and validation of financial data from multiple operational platforms. Investigate discrepancies between billing, invoicing, rating, and settlement data. Identify missing transactions, duplicate charges, incorrect rates, and other financial data inconsistencies. Develop reconciliati…

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