Senior Data Analyst at BMO analyzing collection trends and optimizing performance through advanced analytics. Collaborating with teams to drive data - driven decision - making in collections strategies.
About the role
- Business Data Analyst collaborating to enhance S&C Electric Canada's business processes through data analysis and strategic initiatives. Utilizing advanced statistics and data modeling for decision-making and reporting.
Responsibilities
- Conduct comprehensive data analysis by applying advanced statistical methods to extract meaningful insights. Generate regular reports that detail findings and track key performance indicators (KPIs) to inform strategic decisions.
- Develop and maintain databases and data collection systems tailored to S&C that optimize statistical efficiency and quality. Provide actionable insights to leaders and cross-functional teams.
- Investigate, analyze, and inform on critical projects and business initiatives. Formulate strategic recommendations based on data-driven analysis, advocating for evidence-based actions.
- Source data from both primary and secondary channels, ensuring a high quality flow of reliable data. Oversee the integrity and maintenance of data sets, flagging and escalating data issues as they are identified.
- Identify, analyze, and interpret trends or patterns in data sets. Effectively communicate insights and recommendations from these trends to diverse audiences.
- Filter and clean data by reviewing reports, printouts, and performance indicators to locate and correct code problems.
- Work with management to prioritize business and information needs.
- Locate and define opportunities to refine business processes, leveraging data to drive efficiency and innovation.
- Develop predictive models to forecast future trends and behaviors.
- Facilitate data literacy workshops for team members, enhancing the organization’s overall data competence.
- Collaborate with IT teams to ensure the security and compliance of data handling and storage practices.
- Monitor industry developments and technological advancements to keep data management practices up-to-date.
- Provide weekly/monthly reports to the senior leadership team.
Requirements
- A bachelor’s degree in Data Analytics, Computer Science, Information Management, Statistics, or a comparable discipline.
- 2+ years of professional experience in data analysis, demonstrating a track record of interpreting complex datasets.
- A strong theoretical and practical foundation in statistics, with proficiency in using statistical software tools.
- Expertise in data analysis programming languages, including SQL, Python, and R, with the ability to write efficient, maintainable code.
- Exceptional analytical skills, capable of compiling, structuring, examining, and presenting large datasets with accuracy and attention to detail.
- Skilled in creating interactive data visualizations and dashboards using Tableau.
- Adept at conducting critical evaluations of data to extract meaningful, actionable insights that drive business success.
- Great communication and presentation skills, with the talent to distill and convey complex data insights to non-technical stakeholders effectively.
- Rounded interpersonal skills to establish meaningful relationships built on mutual trust and respect, navigate and resolve conflict, moderate behaviors, and foster collaborative working relationships amongst a diverse audience.
- Demonstrated ability to manage multiple projects concurrently, paying strict attention to accountability and project goals.
- Good interpersonal skills to establish meaningful relationships built on mutual trust and respect and foster collaborative working relationships amongst a diverse audience.
- Great organizational, planning and project management skills, coordinating internal and external resources and juggling key account demands.
- Great computer skills and ability to use Microsoft Office applications; specifically, Microsoft Word, Excel, PowerPoint, Project, PowerBI & Power Apps.
- Capable of embracing diversity and equity to ensure they contribute to a respectful and inclusive workplace.
- Prior experience in manufacturing is an asset.
Benefits
- Competitive compensation and performance-based bonus
- Generous employer-matched retirement savings plan
- Three weeks of paid vacation, plus paid holiday shutdown
- 100% employer-paid health and wellness benefits, including: Medical, dental, vision, and prescription coverage
- Health Care Spending Account (HCSA) & Personal Spending Account (PSA)
- Life, AD&D, and disability insurance, with optional enhancement
- Summer hours program
- Education reimbursement
- Seniority recognition
- Access to Spark LMS for continuous learning and development
- A safe and fun working environment where we celebrate our milestones.
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