Senior Finance Data Analyst

Midland Transport is currently seeking a Senior Finance Data Analyst to be based at our Head Office in Dieppe, NB. The Senior Finance Data Analyst will be a data thought leader capable of demonstrating how using data can improve business results and coaching others to effectively use data and tools to do the same.

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
• Free parking, an onsite fitness center open 24/7, and an onsite cafeteria
• Maternity leave top-up program
• Growth and progression opportunities within Midland Transport and large network of the JD Irving group of companies

Qualifications:

• Education Required: University Degree in Accounting or related field
• Years of Experience Required:
  • 8 to 10 years business related experience (Data or Analytics)
• Understanding of financial reporting and accounting processes
• CPA designation (asset)
• Analytical and problem-solving skills
• Ability to harmonize technical and business knowledge to produce impactful analyses
• Strong troubleshooting skills, technological proficiency, ability to solve complex problems
• Proficient use of reporting tools like Power BI, Alteryx, SQL, Microsoft Products, Cognos
• Excellent verbal and written communication skills
• Capacity to prioritize and complete multiple tasks effectively with high degree of accuracy
• Committed to continuous learning and flexibility.

Responsibilities:

• Creating impactful visualizations and reports that translate complex data into actionable insights to senior management
• Offer expertise in best practices for data collection, transformation, and visualization
• Collaborate with stakeholders to understand their requirements and tailor solutions accordingly
• Identify repetitive tasks and implement automation solutions to improve efficiency and reduce manual work
• Develop robust data validation and error-checking protocols
• Coach and mentor supervisors, leaders, and managers to enhance analytical skills.