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Principal, IT Analytics & Data Science

 

Principal, IT Analytics & Data Science

  • JR-126945
  • Tampa
  • Chicago
  • Ashburn
  • Product
  • Full time
Principal, IT Analytics & Data Science

Equinix is the world’s digital infrastructure company, operating 240 data centers across the globe and providing interconnections to all the key clouds and networks. Businesses need one place to simplify and bring together fragmented, complex infrastructure that spans private and public cloud environments. Our global platform allows customers to place infrastructure wherever they need it and connect it to everything they need to succeed.

At Equinix, we help the world’s digital leaders scale with agility, speed the launch of digital services, deliver world-class experiences, and transform people’s lives. 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.

Job Summary: Design, plan and execute exploratory data analysis (EDA) studies resulting in actionable insights for key decision makers to improve business outcomes.

Responsibilities:

  • Define and document scope, schedule and success criteria of the EDA studies
  • Perform exploratory and diagnostic analysis while engaging with subject matter experts for context
  • Identify optimal data sources and appropriate sampling strategies
  • Create or adequately communicate technical specifications of data queries
  • Perform or provide directional inputs for data wrangling (clean up, validation, transformation) as needed
  • Perform and interpret descriptive statistics and data profiling on associated data sets
  • Perform statistical/hypothesis testing to identify, validate or invalidate correlations between key input and output variables
  • Utilize technical approaches to reduce large variable sets to the critical few
  • Utilize inferential statistics to test subject matter expert cause and effect theories
  • Create effective visualizations to represent data relationships and key insights
  • Create concise, compelling narratives or "stories" from the data with a bias for actionable insights
  • Deliver results of the study orally and in written form as needed

Secondary Responsibilities

  • Deliver EDA related training and mentoring to peers
  • Participate in the identification and selection of methods and technologies to advance the capability of EDA across the enterprise
  • Collaborate with data engineering, data product owners and business stakeholders to establish requirements and data models for follow up projects to act on or sustain insights discovered in initial study
  • Collaborate with Data Scientists to assist their intake and design when a study results in a valid AI/ML use case
  • Perform routine project management skills (backlog planning, intake, status updates, logistics planning, stakeholder management, escalation, etc.) for the EDA scope

Qualifications:

  • Masters in Degree in a Quantitative field including but not limited to Engineering, Computer Science, Mathematics, Statistics, Economics or other applicable STEM field would be a huge plus
  • 10+ years’ experience of overall experience with minimum 3+ yrs in Data Analysis including experience with Data Science related projects 
  • Demonstrated experience with Exploratory Data Analysis using statistical techniques like regressions, correlations, classification, anomaly detection or hypothesis testing to drive insights 
  • Strong analytical skills in analyzing complex problems, processes, and systems and ability to relate with business goals and/or opportunities
  • Ability to document and prototype business use cases and data flows 
  • Experience in producing delightful and intuitive data visualization using Tableau or similar tools that provide key insights to drive business decisions.  
  • Understanding of data structures and SQL 
  • Experience in a wide variety data domains and applications with end to end enterprise scope
  • Preferred: Experience with scripting language like Python, R, or other scripting language for exploratory analysis
  • Preferred: Experience or conversant familiarity with process mining and automation technologies
  • Preferred: Intermediate graphic design capability (color theory, infographics, typography, iconography, etc.)
  • Preferred: Experience as a member or leader in structured process improvement initiatives (i.e. Six Sigma projects or similar)

Equinix is committed to ensuring that our employment process is open to all individuals, including those with a disability.  If you need assistance in applying for an open position, you may send an email to Staffing@equinix.com. Please provide your contact information and let us know how we can assist you. 

 

Learn more about Equinix: 

Stay connected: LinkedIn , YouTube , Facebook , Twitter  

 

Equinix is an equal opportunity employer. All applicants will receive consideration for employment without regard to race, religion, color, national origin, sex, sexual orientation, gender identity, age, status as a protected veteran, or status as a qualified individual with disability. 

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Equal Employment Opportunity: 
Equinix is an Equal Employment Opportunity and Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, sex, sexual orientation, gender identity, age, status as a protected veteran, or status as a qualified individual with disability.

(US Applicants)

Please click here to see the “EEO is the Law” poster and supplement.

Please click here to see our EEO Policy Statement.

Please click here to see our Pay Transparency Policy Statement.