Senior Data Analyst

TORONTO (TRO) OFFICE

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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 Analyst

Job Summary

We 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.

Responsibilities

Data Analysis and Insights

  • Analyze complex datasets to uncover trends, identify opportunities, and support automation initiatives

  • Build predictive and prescriptive models to inform decision-making and optimize workflows in managed services

  • Develop data-driven solutions to enhance operational efficiency, reduce costs, and improve service delivery

Collaboration with Automation Teams

  • Partner with automation architects, engineers, and product managers to identify data requirements for AI/automation projects

  • Provide data insights to inform automation strategy, including process selection and performance tracking

  • Assist in the design and testing of data pipelines and workflows to support automation use cases

Reporting and Visualization

  • Design and deliver intuitive dashboards, reports, and visualizations using tools such as Power BI, Big Query, Tableau, or equivalent

  • Track and report KPIs and metrics for automation initiatives, providing actionable recommendations for improvement

  • Present findings to technical and non-technical stakeholders, ensuring insights are clear and impactful

Data Governance and Quality

  • Ensure the accuracy, completeness, and reliability of data used in analysis and reporting

  • Establish data validation processes to maintain high-quality datasets for automation projects

  • Collaborate with IT and data engineering teams to enhance data accessibility and integrity

Continuous Improvement

  • Stay updated on the latest trends in data analytics, machine learning, and automation technologies

  • Proactively identify areas for improvement in existing analytical processes and propose innovative solutions

  • Mentor junior analysts and contribute to building a data-driven culture within the organization

Qualifications

  • Minimum 7–10 years of experience in data analysis, with at least 5 years supporting automation, AI, or IT infrastructure teams

  • Proven track record of working in a similar role within a managed services, IT, or automation-focused organization

  • Demonstrable experience in delivering actionable insights and measurable improvements through data analytics

Technical Skills

  • Proficiency in data analysis tools and languages, such as SQL, Python, or R

  • Expertise in visualization tools like Power BI, Tableau, or equivalenT

  • Strong understanding of data modeling, ETL processes, and big data platforms

  • Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud) and their data services is a plus

  • Knowledge of automation tools (e.g., Ansible, ServiceNow, UiPath) and AI/ML frameworks is an advantage

Soft Skills

  • Must be fluent in English, with excellent verbal and written communication skills

  • Strong problem-solving abilities, with a detail-oriented and analytical mindset

  • Ability to work collaboratively in a fast-paced, matrixed environment

  • Confidence in presenting complex findings to both technical and business stakeholders

Education

  • Bachelor’s degree in Data Science, Computer Science, Engineering, or a related field

  • Certifications in data analytics, visualization, or cloud platforms (e.g., Google Data Engineer, Microsoft Certified Data Analyst) are a plus

What We Offer

  • A collaborative and innovative work environment with opportunities to shape the future of automation in managed services.

  • Competitive compensation and benefits package

  • Access to cutting-edge tools, technologies, and professional development programs

  • The chance to work on impactful projects that drive organizational transformation

Equinix 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 this form.

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. 

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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Category: Analyst Jobs

Tags: Ansible Architecture AWS Azure Big Data BigQuery Computer Science Data analysis Data Analytics Data governance Data pipelines Data visualization Engineering ETL GCP Google Cloud KPIs Machine Learning Pipelines Power BI Python R SQL Tableau Testing

Perks/benefits: Career development Competitive pay Startup environment

Region: North America
Country: Canada

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