Rippling gives businesses one place to run HR, IT, and Finance. It brings together all of the workforce systems that are normally scattered across a company, like payroll, expenses, benefits, and computers. For the first time ever, you can manage and automate every part of the employee lifecycle in a single system.
Take onboarding, for example. With Rippling, you can hire a new employee anywhere in the world and set up their payroll, corporate card, computer, benefits, and even third-party apps like Slack and Microsoft 365—all within 90 seconds.
Based in San Francisco, CA, Rippling has raised $1.2B from the world's top investors—including Kleiner Perkins, Founders Fund, Sequoia, Greenoaks, and Bedrock—and was named one of America's best startup employers by Forbes.
We prioritize candidate safety. Please be aware that all official communication will only be sent from @Rippling.com addresses.
About The RoleAfter becoming one of the fastest growing startups in the United States ($0 ? $11B), Rippling is ready to up-level our operations to scale to $1B in ARR over the next couple years. We need someone who can take us from 1 to 10—and beyond, on a global scale.
We're looking for an expertise in Data Analytics to join the growing Support Operations team. You'll work in a fast-paced environment and your work will ensure we make the right decisions to grow exponentially, optimize our cost, and improve customer experience. As the only analytics expert in the department, you'll have the opportunity to help build the analytics foundation from scratch, influence the roadmap and tackle complex problems as we scale globally.
Reporting to the Support Operations Manager, the Data Analyst will be responsible to create a data culture within the department, streamline the analytics function, set up and maintain reports for daily operations of the department, run ad-hoc analysis to support projects and initiatives.
Note: This role will be a Hybrid Model of working three days a week from our Bangalore Office with shift timings being EST hours. What you will doPartner with cross-functional teams (Enablement, WFM, Systems, and Operations) to build out our data foundation for scale, define and standardize metrics, and promote cross-functional visibility into Support data.Own core Support dashboards and metrics, and track progress towards team goals.Develop and maintain high-visibility dashboards around support priorities and initiatives.Proactively identify strategic opportunities and provide recommendations through ad-hoc and deep dive analysis.Identify patterns and gaps in the daily operations using data and recommend interventions.Develop and maintain predictive models to forecast support volume by various attributes.What you will needBachelor's degree in Math, Analytics, Data Science, Economics, Statistics, Computer Science, Engineering, or other quantitative fields.A minimum of 5 years industry experience or Master's degree with a minimum of 4 years experience.Strong proficiency in Advanced Excel, SQL (Snowflake), Tableau (or other Business Intelligence tools), and Python/ R (to perform analysis and create predictive models).Experience with time series forecasting, optimisation, and predictive modeling.Ability to navigate a high-ambiguity environment.Strong attention to detail. You can dive into the weeds with the team and pick up on the seemingly small, yet important, details.Willing to roll up your sleeves. We're still a startup, and will expect you to roll up your sleeves and work hard to provide feedback and get the job done.Excellent verbal and written communication skills. You'll regularly communicate directly with executives and other senior leaders.
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