Python Job: Associate Data Analyst, Product Led Growth

Job added on

Company

Equinix
Canada

Location

Remote Position
(From Everywhere/No Office Location)

Job type

Full-Time

Python Job Details

Associate Data Analyst, Product Led Growth

Equinix is the world’s digital infrastructure company, operating 245+ 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

As Data Analyst, Product, you will serve a critical role as an individual contributor, a key domain expert, and you will spearhead and implement opportunities for bringing actionable insights to our Product team. Your task is to gather and prepare data from multiple sources, run statistical analyses, and communicate your findings in a clear and objective way.


You will report to the Director of Product Management – Self-Serve at Equinix Metal.


Responsibilities

  • Bring data insights to Product team: you will build and maintain critical dashboards for the product team. You will work with each Product Lead to collect the top metrics for each product, assist with the instrumentation requirements and unlock actionable insights. Examples of deliverables include capacity reports, product adoption reports, growth reports, and ad hoc reports

  • Partner with Analytics & Business Intelligence teams: analytics takes a village where you will play a central role. You will accelerate our time to insights by partnering with other BI teams within the organization. They will assist you to unlock data from various sources

  • Partner with the Product Led Growth team: you will partner closely with our Product Manager, Growth, on a wide range of experiments. From improving product adoption to increasing monetization to nailing retention, your work will have a direct impact on our north star metrics

  • Identify, analyze, and interpret trends or patterns in complex data sets: you will be the guide for people to understand and make sense of the insights buried across complex and various data sources. You will be our Michelangelo and unlock the sculpture (aka the “signal”) by chiseling away the superfluous material (aka the “noise”)

  • Improve instrumentation, tooling, and data collection processes: more than a destination, we’re promising you a journey. You will play a critical part in keeping our product analytics tooling and reporting top-notch


Qualifications

This is a highly analytical role that requires the ability to answer complex questions with data.


The ideal candidate will have the ability to embrace grey areas, switch gears quickly, and share findings with internal stakeholders. You should apply to this role if you are:

  • 3+ years of professional experience

  • 1+ years of experience as a Data Analyst or Business Data Analyst for Enterprise XaaS/ B2B technology company

  • BS in Mathematics, Economics, Computer Science, Information Management or Statistics

  • Expert at querying databases or datasets with SQL

  • Expert in modeling with Excel

  • Expert with data warehouses

  • Experience with BI tools such as Tableau and PowerBI

  • Technical expertise regarding data models, database design development, data mining and segmentation techniques

  • Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy

  • Adept at queries, report writing and presenting findings

  • Strong communication skills and the ability to work in a team


Preferred Qualifications

  • Understanding of data analytics for product led growth

  • Knowledge of Python and experience using libraries from Python's data science ecosystem (e.g., pandas, scikit-learn, matplotlib, bokeh, flask, streamlit)

  • Experience with popular statistical and machine learning techniques, such as clustering, linear regression, KNN, decision trees, etc

  • Experience with ML tools (AutoML, SageMaker, etc.)

  • Experience with A/B Testing and Pre/Post

We offer Medical, TeleMedicine, Dental, Vision, Life and AD&D insurance, 401K, Leave of absence & disability benefits, paid time off & holidays and more.


For CO residents: In accordance with Colorado State Law, the salary range for this role is $67,000 – $94,000 per year with 15% bonus target.


For NYC residents: In accordance with NYC Pay Transparency Law, the salary range for this role is $74,000 – $134,000 per year with 15% bonus target.

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 [email protected]. Please provide your contact information and let us know how we can assist you.

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. (Equal Opportunity / AA / Disabled / Veterans Employer (U.S.)).