Business Analytics Manager

Accountabilities • Commercial Performance and Business Partnership: Act as a trusted analytics partner to General Managers and senior commercial stakeholders, analyzing revenue, profitability, customer acquisition, conversion performance, and other key business drivers to identify trends and opportunities for growth.

• Financial Accuracy and Data Confidence: Collaborate with Finance, Revenue Operations, and Data Engineering teams to validate commercial reporting, investigate discrepancies, reconcile financial and operational information, and maintain confidence in the accuracy and consistency of business data.

• Business Insights and Storytelling: Guide Analysts in translating complex datasets into clear, actionable recommendations, explaining the underlying causes of performance changes, challenging assumptions, and communicating findings effectively to technical and non-technical audiences.

• Analytics Products and Business Requirements: Translate commercial questions into well-defined analytical requirements and collaborate with Analytics, Business Intelligence, Engineering, and Data Science teams to develop scalable reporting solutions, reusable datasets, and self-service analytics capabilities.

• Team Leadership and Development: Lead and coach a small team of Analysts aligned with different business areas, strengthening their technical expertise, commercial understanding, analytical judgment, and stakeholder management skills.

• Workload Management and Prioritization: Prioritize analytical initiatives across multiple business areas, balancing immediate commercial needs with longer-term improvements while ensuring the team's efforts deliver measurable business value.

• Advanced Analysis and Continuous Improvement: Identify opportunities for deeper analysis, forecasting, experimentation, and improved analytical methods to help the organization anticipate trends and make better decisions.

• Cross-Functional Collaboration: Build strong relationships across commercial, financial, and technical teams to improve analytical processes, establish consistent standards, and ensure insights are relevant, reliable, and actionable.

Requirements:

• Experience in business analytics, commercial analytics, performance analytics, or a related field, including experience managing, mentoring, or coaching Analysts.

• Strong commercial acumen and experience analyzing revenue, profitability, customer acquisition, sales performance, conversion rates, or other important business performance indicators.

• Demonstrated ability to work directly with senior stakeholders, translate complex business questions into analytical requirements, and provide recommendations that influence commercial decisions.

• Excellent communication, presentation, and data storytelling skills, with the ability to explain complex findings clearly and persuasively to audiences with varying levels of technical expertise.

• Strong SQL skills and experience querying, analyzing, and interpreting large and complex datasets.

• Experience with business intelligence and data visualization platforms such as Tableau, Power BI, or Looker.

• A strong understanding of data quality, reporting accuracy, financial reconciliation, and the relationship between commercial metrics and financial outcomes.

• Proven ability to prioritize analytical projects across multiple stakeholders while balancing business urgency, analytical rigor, and long-term value.

• Experience developing Analysts through coaching, feedback, and professional development, helping them strengthen both technical capabilities and commercial confidence.

• A proactive, curious, and solution-oriented mindset, with the ability to identify emerging opportunities and independently investigate business performance.

• Additional assets: Experience in performance marketing, affiliate marketing, lead generation, or digital publishing.

• Familiarity with marketing and customer acquisition data from GA4, Google Ads, Meta, or other advertising platforms.

• Experience working with Finance, Revenue Operations, or commercial reporting teams, including analyzing partner economics, conversion funnels, sales performance, or customer profitability.

• Python skills for statistical analysis, forecasting, or advanced analytical work.

• Experience collaborating with Data Scientists on predictive modeling, experimentation, or customer analytics.

• Familiarity with Google Cloud Platform, particularly BigQuery.

• Experience developing reusable analytical products, automated reporting, or self-service business intelligence capabilities.

• Experience working with distributed teams and agile delivery practices.

Benefits:

• Remote work: Remote opportunity based in Canada, with the role associated with Ontario, Canada.

• Leadership and career development: Opportunity to lead and develop a team of Analysts while shaping the direction and impact of the Business Analytics function.

• Strategic business exposure: Direct collaboration with senior business leaders on meaningful commercial challenges and decisions.

• Cross-functional collaboration: Work alongside specialists in Engineering, Business Intelligence, Data Science, Finance, and Revenue Operations.

• Professional impact: Opportunity to improve business reporting, strengthen data quality, develop scalable analytics solutions, and influence commercial growth and profitability.

• Data-driven environment: Contribute to a business that emphasizes analytical rigor, trusted information, continuous improvement, and informed decision-making.

• Inclusive workplace: Equal employment opportunity commitment, with a stated policy prohibiting discrimination and harassment across employment practices.

How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether?

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

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