About Workato

Workato is the only integration and automation platform that is as simple as it is powerful — and because it’s built to power the largest enterprises, it is quite powerful. 

Simultaneously, it’s a low-code/no-code platform. This empowers any user (dev/non-dev) to painlessly automate workflows across any apps and databases.

We’re proud to be named a leader by both Forrester and Gartner and trusted by 7,000+ of the world's top brands such as Box, Grab, Slack, and more. But what is most exciting is that this is only the beginning. 

Why join us?

Ultimately, Workato believes in fostering a flexible, trust-oriented culture that empowers everyone to take full ownership of their roles. We are driven by innovation and looking for team players who want to actively build our company. 

But, we also believe in balancing productivity with self-care. That’s why we offer all of our employees a vibrant and dynamic work environment along with a multitude of benefits they can enjoy inside and outside of their work lives. 

If this sounds right up your alley, please submit an application. We look forward to getting to know you!

Also, feel free to check out why Business Insider named us an ‘enterprise startup to bet your career on”! #WeAreBlushing

All full-time regular employees will be eligible for the following benefits:

  • Workato Stock Options at one of Silicon Valley’s fastest growing startups

  • Health benefits: Medical, dental, vision for yourself and covered dependents/domestic partners

  • Pre-tax benefits: Medical and dependent care flexible spending accounts, health savings account, 401k, and commuter benefits

  • Company-paid life insurance and short/long-term disability insurance

  • Paid maternity/parental leave benefits for new parents

  • Enhanced employee assistance program for mental wellness


We are looking for a Director of Product Analytics and Data Science. This is a remote role, and candidates based anywhere in USA, Russia, Portugal, Barcelona or Singapore are welcome to apply! In this role, you will be responsible fo:

Reliable billing metrics usage reporting for customers 

  • Ensure the accurate reporting of product consumption data vis-a-vis tasks, recipes, connections across workspaces, environments, and customers 

  • Deliver full visibility of subscription plans, add-ons purchased, reporting and visualizations for trends, and tools for usage analytics 

  • Develop product communication for usage trends and alerts for anomalies to keep customers up-to-date 

Reliable billing metrics usage reporting for internal GTM and CS teams

  • Serve Workato actionable data insights, experiments, and quantitative research across product, marketing, growth, revenue, engineering, and support. 

  • Partner with GTM team leaders and BT teams to understand their product usage data needs and challenges 

  • Work with the engineering, product analytics, and BT teams to manage the end-to-end process: 

  • Create a roadmap and define the scope of projects for product usage insights - Work with product/engineering to ensure we’re collecting the right data and organizing analytical schemas for self-service reporting 

  • Drive the development of the required data pipelines, data models, and datasets

  • Implement rigorous checks and processes to deliver high-quality data to give GTM teams utmost confidence in the insights 

Analytical infrastructure for experimentation 

  • Create full-cycle analytics experiments, reports, and dashboards using SQL, R, Python, or other scripting and statistical tools 

  • Present in key meetings and business reviews with our executive team and founders 

  • Create the required data pipelines for collecting data from multiple sources like Salesforce, Pendo, Google Analytics, and product DB 

  • Build a self-service analytic infrastructure using Snowflake, Thoughtspot, and other tools for PMs to run experiments, and analyze results 

Reliable product usage metrics for PM and Engineering teams 

  • Join a cross-functional leadership team of Design, Tech, and Product leaders and deliver sophisticated learning strategies focused on driving growth through content experiences 

  • Build datasets and analytical reports that provide insights on the usage of product features, capabilities, trends 

  • Lead integrated requirements and build a system of record for product usage insights 

  • Support our machine learning efforts to enable more personalization, engagement, and growth so we can better serve our customers 

  • Identify emerging trends in work automation, and share with leaders, GTM teams for strategic impact


Qualifications / Experience / Technical Skills

  • Bachelors or above degree in Math, Economics, Statistics, Engineering, Computer Science, or other quantitative fields

  • Experience collaborating with and understanding the needs of stakeholders from a variety of business functions. work most closely with Product, Customer Success and Engineering, Sales, Marketing, and Finance organizations. 

  • 10+ years of experience in product analytics, data science, or data engineering roles. (Experience leading more than one of these functions is highly preferred.)

  • Experience in SaaS companies, an expert in SaaS metrics, collaborate, influence Execs in defining the right metrics 

  • Demonstrable functional knowledge of data engineering has proven practices including domain definition, data pipeline development (event streams and extracts), data warehousing 

  • Expertise with SQL queries, ETL, A/B Testing, and statistical analysis (e.g. hypothesis testing, experimentation, regressions) with statistical packages, such as Matlab, R, SAS or Python 

  • Proficiency in one or more analytics & visualization tools (e.g. Chartio, Looker, Tableau) - Comfortable at influencing without authority and coaching your team. Capable of taking analytical insights and tying them to effective framing to drive high-quality decisions within Product and across the business. 

Soft Skills / Personal Characteristics

  • Driving hiring; establishing team culture, vision, strategy, roadmap, and sub-team charters; providing coaching and mentorship to managers and individual contributors; tightly aligning Workato's data goals to effectively serve and enable the business. 

  • Ability to build clear and concise presentations, and communicate effectively at every level of the organization 

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