Business Analytics Manager
Quick Summary
Translate commercial questions into well-defined analytical requirements and collaborate with Analytics, Business Intelligence, Engineering,
We are looking for a Business Analytics Manager to transform complex business data into actionable insights that drive commercial performance, growth, and profitability. In this role, you will lead a small team of Analysts and partner closely with General Managers and senior commercial stakeholders to understand business results and identify opportunities for improvement. You will combine hands-on analytical expertise with team leadership, helping the organization move beyond descriptive reporting toward deeper insights, forecasting, and strategic recommendations. Working across Finance, Business Intelligence, Data Engineering, and Data Science, you will help strengthen data accuracy, improve reporting capabilities, and support better-informed decisions. You will also shape the development of scalable analytics products and self-service reporting solutions that make trusted information more accessible. This remote opportunity is ideal for a commercially minded analytics leader who enjoys developing people, solving complex business challenges, and influencing decisions in a collaborative, data-driven environment.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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
~2 min read-
Experience in business analytics, commercial analytics, performance analytics, or a related field, including experience managing, mentoring, or coaching Analysts.
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Strong commercial acumen and experience analyzing revenue, profitability, customer acquisition, sales performance, conversion rates, or other important business performance indicators.
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Demonstrated ability to work directly with senior stakeholders, translate complex business questions into analytical requirements, and provide recommendations that influence commercial decisions.
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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.
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Strong SQL skills and experience querying, analyzing, and interpreting large and complex datasets.
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Experience with business intelligence and data visualization platforms such as Tableau, Power BI, or Looker.
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A strong understanding of data quality, reporting accuracy, financial reconciliation, and the relationship between commercial metrics and financial outcomes.
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Proven ability to prioritize analytical projects across multiple stakeholders while balancing business urgency, analytical rigor, and long-term value.
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Experience developing Analysts through coaching, feedback, and professional development, helping them strengthen both technical capabilities and commercial confidence.
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A proactive, curious, and solution-oriented mindset, with the ability to identify emerging opportunities and independently investigate business performance.
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Additional assets: Experience in performance marketing, affiliate marketing, lead generation, or digital publishing.
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Familiarity with marketing and customer acquisition data from GA4, Google Ads, Meta, or other advertising platforms.
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Experience working with Finance, Revenue Operations, or commercial reporting teams, including analyzing partner economics, conversion funnels, sales performance, or customer profitability.
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Python skills for statistical analysis, forecasting, or advanced analytical work.
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Experience collaborating with Data Scientists on predictive modeling, experimentation, or customer analytics.
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Familiarity with Google Cloud Platform, particularly BigQuery.
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Experience developing reusable analytical products, automated reporting, or self-service business intelligence capabilities.
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Experience working with distributed teams and agile delivery practices.
What We Offer
~2 min readLocation & Eligibility
About this job
- Who can apply
- Canada
- Posted
- Today
Listing Details
- Posted
- October 22, 2026
- First seen
- October 22, 2026
- Last seen
- October 22, 2026
Posting Health
- Days active
- 0
- Repost count
- 0
- Trust Level
- 68%
- Scored at
- October 22, 2026
Signal breakdown
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