Lead Analyst - Data & Analytics

About the Role

Key Responsibilities

• Identify trends, patterns, and relationships in data to support strategic decision-making. Utilize advanced analytics to transform raw data into meaningful insights.
• Design and develop interactive dashboards and reports using tools like Tableau, Power BI, and Python to present complex data in a clear, intuitive format. Ensure visualizations effectively communicate insights to both technical and non-technical audiences.
• Standardize and automate reporting processes to improve efficiency and scalability. Implement repeatable analytics solutions that enhance decision support.
• Work with different teams, management, and stakeholders to refine analytics solutions for maximum impact. Ensure that visualizations and reports align with business needs and user experience best practices.
• Maintain thorough documentation of data flows, systems, and analytics processes. Identify opportunities to optimize existing workflows and improve data management strategies.
• Develop and deliver training programs for non-technical users on self-service analytics tools, reporting best practices, and data interpretation. Provide guidance on maximizing the value of analytics tools.
• Exercise sound judgment in identifying, diagnosing, and resolving data-related issues within given rules. Handle non-routine situations with a proactive and analytical mindset.

Requirements

• Technical Design Optimization - Ability to refine and enhance analytics solutions for efficiency and effectiveness.
• Decision Making - Uses data-driven insights to support informed decision-making.
• Systems Thinking - Understands how analytics solutions fit into broader business processes.
• Strong Excel and PowerPoint skills but prefers to use SQL, Python, Tableau, and Power BI for data manipulation, analysis, reporting, and dashboards.
• Excellent organizational skills and ability to manage shifting priorities in a fast-paced environment.
• Experience in data visualization, data storytelling, data mining, and illustration to create meaningful insights.
• Ability to develop innovative solutions to complex business challenges.
• Strong verbal and written communication skills, teamwork, and stakeholder engagement to ensure analytics solutions meet business needs.
• Demonstrated ability to analyze data, solve problems, and drive insights that influence business decisions.
• Typically between 5 - 7 years of relevant experience and post-secondary degree in related field of study or an equivalent combination of education and experience.

Nice to Have

• Experience with automation and scalability of analytics processes.
• Experience with developing training programs for non-technical users.
• Knowledge of data management strategies and workflows.

Qualifications

• Post-secondary degree in a related field or an equivalent combination of education and experience.
• Typically 5-7 years of relevant experience.

Benefits & Perks

• Health insurance
• Tuition reimbursement
• Accident and life insurance
• Retirement savings plans
• Performance-based incentives and discretionary bonuses
• Additional perks and rewards