Equinix
Location: Toronto, ON
Job Description: Who are we?Equinix is the world’s digital infrastructure company®, operating over 260 data centers across the globe. Digital leaders harness Equinix’s trusted platform to bring together and interconnect foundational infrastructure at software speed. Equinix enables organizations to access all the right places, partners and possibilities to scale with agility, speed the launch of digital services, deliver world-class experiences and multiply their value, while supporting their sustainability goals.Our culture is based on collaboration and the growth and development of our teams. We hire hardworking people who thrive on solving challenging problems and give them opportunities to hone new skills and try new approaches, as we grow our product portfolio with new software and network architecture solutions. We embrace diversity in thought and contribution and are committed to providing an equitable work environment that is foundational to our core values as a company and is vital to our success.Senior Data AnalystJob SummaryWe are seeking a highly skilled and experienced Senior Data Analyst to join our dynamic Automation Team within the Infrastructure Managed Services organization. This role is critical in leveraging data to enhance automation strategies, optimize processes, and deliver actionable insights that drive operational excellence.The ideal candidate will have a strong background in data analysis, experience working in automation or infrastructure environments, and a proven track record of delivering impactful insights through data visualization, reporting, and advanced analytics. Exceptional fluency in English is a must, as this role requires clear communication with diverse stakeholders across the organization.ResponsibilitiesData Analysis and InsightsAnalyze complex datasets to uncover trends, identify opportunities, and support automation initiativesBuild predictive and prescriptive models to inform decision-making and optimize workflows in managed servicesDevelop data-driven solutions to enhance operational efficiency, reduce costs, and improve service deliveryCollaboration with Automation TeamsPartner with automation architects, engineers, and product managers to identify data requirements for AI/automation projectsProvide data insights to inform automation strategy, including process selection and performance trackingAssist in the design and testing of data pipelines and workflows to support automation use casesReporting and VisualizationDesign and deliver intuitive dashboards, reports, and visualizations using tools such as Power BI, Big Query, Tableau, or equivalentTrack and report KPIs and metrics for automation initiatives, providing actionable recommendations for improvementPresent findings to technical and non-technical stakeholders, ensuring insights are clear and impactfulData Governance and QualityEnsure the accuracy, completeness, and reliability of data used in analysis and reportingEstablish data validation processes to maintain high-quality datasets for automation projectsCollaborate with IT and data engineering teams to enhance data accessibility and integrityContinuous ImprovementStay updated on the latest trends in data analytics, machine learning, and automation technologiesProactively identify areas for improvement in existing analytical processes and propose innovative solutionsMentor junior analysts and contribute to building a data-driven culture within the organizationQualificationsMinimum 7–10 years of experience in data analysis, with at least 5 years supporting automation, AI, or IT infrastructure teamsProven track record of working in a similar role within a managed services, IT, or automation-focused organizationDemonstrable experience in delivering actionable insights and measurable improvements through data analyticsTechnical SkillsProficiency in data analysis tools and languages, such as SQL, Python, or RExpertise in visualization tools like Power BI, Tableau, or equivalenTStrong understanding of data modeling, ETL processes, and big data platformsFamiliarity with cloud platforms (e.g., AWS, Azure, Google Cloud) and their data services is a plusKnowledge of automation tools (e.g., Ansible, ServiceNow, UiPath) and AI/ML frameworks is an advantageSoft SkillsMust be fluent in English, with excellent verbal and written communication skillsStrong problem-solving abilities, with a detail-oriented and analytical mindsetAbility to work collaboratively in a fast-paced, matrixed environmentConfidence in presenting complex findings to both technical and business stakeholdersEducationBachelor’s degree in Data Science, Computer Science, Engineering, or a related fieldCertifications in data analytics, visualization, or cloud platforms (e.g., Google Data Engineer, Microsoft Certified Data Analyst) are a plusWhat We OfferA collaborative and innovative work environment with opportunities to shape the future of automation in managed services.Competitive compensation and benefits packageAccess to cutting-edge tools, technologies, and professional development programsThe chance to work on impactful projects that drive organizational transformationEquinix is committed to ensuring that our employment process is open to all individuals, including those with a disability. If you are a qualified candidate and need assistance or an accommodation, please let us know by completing .Equinix is an Equal Employment Opportunity and, in the U.S., an Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to unlawful consideration of race, color, religion, creed, national or ethnic origin, ancestry, place of birth, citizenship, sex, pregnancy / childbirth or related medical conditions, sexual orientation, gender identity or expression, marital or domestic partnership status, age, veteran or military status, physical or mental disability, medical condition, genetic information, political / organizational affiliation, status as a victim or family member of a victim of crime or abuse, or any other status protected by applicable law.
Company Name: Equinix
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