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.
Data Analyst responsible for collecting and analyzing data for insights at a pet nutrition company. Collaborating on reports, dashboards, and process improvements.
Data Analyst at SUMMIT BC requiring 3+ years experience and proficiency in Power BI and Excel. Responsible for analyzing data for strategic decisions and automation.
Data Analysis Specialist focusing on retention strategies and insights to optimize customer experience at Michelin Connected Fleet. Analyzing data and market trends to implement effective retention policies.
Senior Data Analyst at MICHELIN Connected Fleet focusing on operational excellence and performance indicators. Collaborating on budgeting and resource planning for enhanced efficiency.
Financial Reporting & Data Analyst at Finora Bank preparing regulatory reports and supporting financial planning. Working in a dynamic team to enhance data quality and efficiency.
Data Analyst enhancing analytics for Toptracer through data platform and analytics at the intersection of product, business, and technology. Collaborating on KPIs, insights, and data - driven decisions.
Data Partner shaping measurable impact in data analytics for Voyage Privé. Collaborating with teams to analyze and optimize business strategies effectively.
Credit Risk Analytics Manager I at USAA, leading risk assessments and contributing to strategic financial health. Collaborating with teams to enhance credit risk analytics in a dynamic banking environment.
Data Analyst supporting UK MOD programme delivering defence data integration and enterprise architecture capabilities. Analyzing data for standards development and improving Defence data practices.