Manager, Business Intelligence

Loopio Inc.•Toronto, ON

1d•CA$100,000 - CA$135,000•Remote

About The Position

Loopio is seeking a strategic and operationally strong Manager, Business Intelligence to build and scale our GTM analytics function across Sales, Marketing, Customer Success, Revenue Operations, and Executive Leadership. This role is ideal for a leader who can combine strong business acumen, modern analytics practices, and scalable operating models to help the organization make faster, more informed decisions. You will be responsible for building a trusted analytics function that moves beyond ad hoc reporting toward proactive, standardized, and decision-oriented insights.

Requirements

5+ years of experience in business intelligence, analytics, revenue operations, or related fields
2+ years of experience leading analytics initiatives
2+ years of experience with people leadership
Strong experience supporting Go-to-Market organizations (Sales, Marketing, Customer Success, Revenue Operations)
Deep expertise in SQL and BI platforms
Strong understanding of data modelling, semantic layers, and modern data warehousing concepts
Experience building scalable reporting and analytics operating models
Strong executive communication and stakeholder management skills
Ability to translate complex business questions into actionable analytical solutions
Experience balancing strategic initiatives with operational execution in fast-paced environments
Proactive and solutions-oriented mindset with a focus on scalability and continuous improvement

Nice To Haves

Experience supporting SaaS metrics and recurring revenue business models
Experience with cloud data platforms (e.g., Databricks, Snowflake)
Exposure to forecasting, pipeline analytics, customer health scoring, or revenue intelligence
Experience implementing metric governance and centralized reporting standards
Familiarity with AI-powered analytics workflows or Insights Agents
Strategic thinker who can connect analytics investments to business outcomes
Highly organized with strong prioritization and operational planning capabilities

Responsibilities

Build & Scale the GTM Analytics Function: Establish and evolve a centralized Go-to-Market analytics function that supports Sales, Marketing, Customer Success, and Executive Leadership. Develop scalable processes, operating models, and prioritization frameworks to support business growth.
Define Executive Metrics & Business Health Reporting: Own the development and governance of core GTM KPIs across pipeline, revenue, retention, expansion, product adoption, customer health, and operational performance. Ensure consistent definitions and trusted reporting across the organization.
Develop a Scalable Analytics Operating Model: Build repeatable analytics workflows that reduce dependency on ad hoc analysis and create sustainable self-service capabilities. Partner with stakeholders to prioritize initiatives and align analytics investments to business impact.
Dashboard & Insight Strategy: Lead the strategy and evolution of dashboards and reporting products in Tableau and other BI platforms. Ensure reporting is actionable, executive-ready, and aligned to organizational decision-making needs.
Cross-Functional Business Partnership: Partner closely with Sales, Marketing, Customer Success, Finance and Operations leaders to identify opportunities, measure performance, and improve business outcomes through data.
Data Governance & Metric Standardization: Drive adoption of centralized metric definitions, semantic layers, and data governance standards to improve trust, consistency, and scalability across reporting and analytics workflows.
Forecasting & Revenue Intelligence: Support forecasting, pipeline analysis, customer retention analysis, and revenue intelligence initiatives by developing scalable reporting and analytical frameworks.
Team Leadership & Enablement: Mentor and support analysts while fostering a culture of curiosity, accountability, and business partnership. Help elevate analytics maturity across the organization through enablement and best practices.
Analytics Modernization & AI Enablement: Identify opportunities to leverage AI-enabled analytics tools and automation to improve efficiency and accelerate insight generation, while ensuring outputs remain governed and trusted.