Data Analyst

6 months ago

Toronto, Canada Equinix Full time

**Who are we?**

Equinix is the world’s digital infrastructure company®, operating over 250 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.

A career at Equinix means you will collaborate on work that impacts the world and be surrounded by endless opportunities to learn new skills and grow in varied directions. 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.

Data Analyst

**Job Summary**

The Business Insights and Performance team delivers value to Equinix through data-driven analysis, product reporting, recommendations, forecasts, and product/pricing data modeling for our Data Center Services product platform. This team sits under the Data Center Services Business Operations organization, supporting a $7B global business unit. As a Data Analyst for this team, you will help support several insights and analytics programs.

**Responsibilities**
- Wrangle data from many different data sources and do deep dive analysis to deliver business insights to drive business decisions and optimize company performance
- Work closely with DCS Product stakeholders to understand the business and use available data to effectively answer questions, solve problems and perform ad-hoc data analysis
- Maintain an existing suite of Tableau product dashboards and perform dashboard updates as needed
- Assist the team with automating reporting/project tasks where applicable

Business Modeling
- Understand product value and customer behavior
- Demonstrate strong business and financial knowledge / modeling experience, where you can highlight risks, opportunities, and issues
- You know what questions to ask and how to interpret the answers

Data Analysis
- Understand the data structure, ensure accuracy, automate where possible
- Ability to self-serve from data repositories or bespoke data pulls
- Experience creating and publishing product dashboards
- You know how to find the answers

Visualization
- Can visually or textually display the data in ways that are meaningful to the end user
- You know how to tell the story

Statistics
- Use statistical analysis to discover the real influencers vs what are simply data points
- You know how to identify trends and predict future results

**Qualifications**
- 3+ years as data analyst, product analyst or similar role
- Bachelor’s degree required, preferably in an analytical field (math, computer science, statistics, engineering etc)
- Advanced Tableau development experience required, including Tableau Server experience
- Advanced SQL skills
- Experience working with Python, R or similar to perform analysis and create models
- Advanced Excel Skills
- Advanced statistics knowledge and experience with data science an asset
- Excellent critical thinking skills
- Excellent communication skills
- Project management skills an asset
- Highly proactive, with the ability to work independently
- Enthusiastic and passionate about learning and developing both technical and business acumen skills
- Fluent English language skills (both verbal and written)
- Demonstrated experience as a collaborative team player

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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