Product Data Analytics Manager

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.  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. Job SummaryEquinix is experiencing unprecedented growth and the People Team is seeking to take the friction out of work and maximize engagement for our employees so that they can do their best work deliver amazing solutions for our customers.We are looking for a Product Data Analytics Manager for our Digital Employee Experience to join our Workforce Insights Team. The role is responsible for driving answers to questions on all stages of product life-cycle for our Intranet and employee facing tools, from ideation to launch and end-of-life, including feature enhancements, updates, and optimizing for performance and scalability, and own status reports and dashboards tracking product project progress.The ideal candidate for this position will be product analytics professional, or similar, with strong demonstrable knowledge of the role that digital employee experience plays in driving workforce and business performance.Reporting to the Director of Workforce Insights, this role will partner closely with our Experience Delivery Team, to proactively deliver and manage business-ready insights that inform our employee-facing product strategy. You will be expected to be deeply understand employee experience problems and opportunities, and leverage your expertise in data analysis, statistical modeling, and data visualization to provide actionable insights and drive data-driven decision-making.ResponsibilitiesProduct Analytics StrategyBuild the analytics foundation, rhythms the team, and trusted relationships with key stakeholders to leverage to scale product analytics effectivenessDefine key metrics for measuring product successBuild dashboards and ongoing reports to surface insights and drive decision-makingDeepen understanding of user behaviors through predictive analytics and experimentation to uncover strategic business opportunitiesEnable hypothesis driven testing to ensure new features and interventions are achieving the intended impact with users and the businessInfluence roadmap development and the strategic decision-making processesEnsure that our insight products address the requirements and pain-points of our stakeholderImplement relevant tactics, approaches and practices that make it easier for our stakeholders to get to the critical insights they need including the ‘so-what?’ recommendation or actionCultivate product-mindset, design-thinking and agile development practices in the development and maintenance of our people insight products, including implementing continual improvement opportunities to ensure our products remain relevant to the needs of our stakeholdersPartnership & CollaborationCollaborate closely with product, engineering, research, and design teams to translate data insights into features and continuous improvementGuide the team in standardizing analytical processes and evangelize these methods across different functionsCoordinate and collaborate with team members to define and build work, ensuring consistent delivery of high-quality outputsLead experimentation by providing mentorship on selecting experiments, guiding their execution, and assessing their impact on our key metricsProvided mentorship in using experimentation and statistical/predictive analysis to advise decision-makingCollaborate closely with our key delivery partners (in HR and IT), seeking buy-in and commitment to deliver against our insight product vision and roadmapOversee and manage your product portfolio and delivery roadmapDrive regular interlocks with IT delivery partners to ensure continued alignment and successful delivery against planned activitiesQualificationsBachelor’s degree in quantitative field or equivalent practical experience7+ years in product analytics with exposure to both consumer and enterprise facing applicationsExperience in data analysis, statistical modeling, and data visualization, preferably in the product analytics spaceExcellent quantitative skills, including data manipulation, statistical analysis, and visualizationMastered building metric frameworks to understand user behaviorsProficiency in statistical analysis tools (e.g. R, Python, SAS, or similar), querying techniques (e.g. advanced SQL), and visualization tools (e.g. Tableau, Power BI, or similar)Advanced MS Excel skillsA high level of comfort delivering reporting and insights within a data visualization platformExperience in the enterprise systems and SaaS spaceExcellent communication and storytelling skills, a record of working cross-functionally to achieve resultsPreferred qualificationsExperience implementing technical solutions, driving product strategy, and managing the product development lifecycleKnowledge of the architecture of a solution, including platforms, data, integrations and constraintsAbility to lead cross-functional alignment sessions, manage conflicting stakeholders, and drive conflict resolutionEquinix 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.