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Director, GTM Operations Analytics and Insights

Job in Toronto, Ontario, C6A, Canada
Listing for: Equinix
Full Time position
Listed on 2026-10-18
Job specializations:
  • IT/Tech
    Data Analyst, Business Intelligence, Data Science Manager, Business Systems & Technology Analysis
  • Business
    Data Analyst, Business Intelligence, Business Systems & Technology Analysis
Salary/Wage Range or Industry Benchmark: 154000 - 232000 CAD Yearly CAD 154000.00 232000.00 YEAR
Job Description & How to Apply Below
Who are we?
Equinix is the world’s digital infrastructure company®, shortening the path to connectivity to enable the innovations that enrich our work, life and planet.

Job Summary
Analyzes complex business problems and issues using data from internal and external sources to provide insight to decision-makers. Identifies and interprets trends and patterns in datasets. Builds recommendations to improve business unit effectiveness. May develop methods for measuring effectiveness of business unit work. Defines or contributes to analytics strategy. Works to ensure global consistency in data and analytic methods. Works to make data available and increase employees' capability to interpret and use data and analytics tools effectively.

May partner with other professionals to develop, assess, facilitate and/or lead programs and processes to support business objectives and strategy implementation.

Responsibilities
Sets the strategy and direction for GTM analytics, insights, and reporting, defining how the organization measures performance and where analytics investment delivers the greatest business impact. Serves as a strategic partner to senior executives and client groups across Sales, Marketing, Customer Success, Finance, and IT — shaping the questions that matter, surfacing emerging business problems, and influencing decisions at the C-suite level.

Equips leaders with the data, forecasting, and predictive and prescriptive insights they need to make critical business decisions, while owning the integrity and global consistency of the data definitions those decisions rest on. Leads, mentors, and scales a high-performing analytics team, evolving its capability from reporting to insight generation and raising data fluency across the business.

Analytics Strategy and Thought Leadership

Drives strategy and direction for analytics and analytics priorities, ensuring alignment with business needs and EDNA commitment

Brings value to each ask and drives strategy and forward-thinking analytics that would have a stronger business impact. Provides support and development for Analysts and Senior Analysts

Stays connected with developments in GTM analytics in external markets and suppliers

Client and Stakeholder Management

Builds relationships and partners with stakeholders (i.e. IT, Finance, senior executive business leaders) to understand requests, make recommendations, implement solutions, and influence decisions. Coaches client groups to present data and insights to business leaders for better adoption and use of insights

Consults with senior executives and external subject matter experts to unearth emerging business problems requiring instrumentation

Leads prioritisation of asks for support from EDNA teams

Data Definitions & Integrity

Drives evolution of current data definitions with key stakeholders (including global and regional functional leads, Finance, EDNA and other functions) for GTM owned measures

Proactively identifies key emerging business metrics needed to adapt to evolution of business and strategy

Coordinates with the MDM and business to fix identified data integrity and inconsistency issues, recommending and implementing areas of improvement

Reporting, Analytics and Insights :
Evolution and Development

Ensures delivery maintenance and optimization of key recurring CRO reporting, leveraging available DIO technology to optimise efficacy for recipients in line with their use case for the data

Delivers analytical insights on business performance, identify key trends and inputs for regular and ad-hoc deliverables

Leads activities to proactively build insights from highly complex multiple analytics platforms and data mining exercises to make recommendations to optimise business outcomes. This should include…
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