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Sales Operations Analyst

Alabang, Philippines

About Workato

Workato transforms technology complexity into business opportunity. As the leader in enterprise orchestration, Workato helps businesses globally streamline operations by connecting data, processes, applications, and experiences. Its AI-powered platform enables teams to navigate complex workflows in real-time, driving efficiency and agility.

Trusted by a community of 400,000 global customers, Workato empowers organizations of every size to unlock new value and lead in today’s fast-changing world. Learn how Workato helps businesses of all sizes achieve more at workato.com.

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”

  • Forbes’ Cloud 100 recognized us as one of the top 100 private cloud companies in the world

  • Deloitte Tech Fast 500 ranked us as the 17th fastest growing tech company in the Bay Area, and 96th in North America

  • Quartz ranked us the #1 best company for remote workers

Responsibilities

We're seeking a data-driven, business-savvy Sales Operations Data Analyst to own and enhance our dashboarding ecosystem using modern BI tools. This role will empower Workato’s Sales and Revenue Operations teams with actionable insights  that drive strategic and operational decision-making.

In this role, you will also be responsible to:

  • Build scalable, efficient, and easy-to-consume front-end dashboards within our BI application, Sigma Computing, that drive informed decision-making across Sales and Sales Ops teams.

  • Support and maintain core dashboards and reports, ensuring they remain accurate, relevant, and accessible as the business evolves.

  • Document dashboards to support self-service, troubleshooting, and long-term sustainability.

  • Balance short-term ad hoc requests with the development of longer-term analytics solutions.

  • Collaborate with data engineering to ensure dashboards are built on robust and future-proof data architectures.

  • Develop working knowledge of key Sales KPIs and become a go-to resource for the team.

  • Partner with SalesOps leaders to identify insights gaps and propose solutions that enhance sales productivity and process optimization.

  • Work cross-functionally with product and systems teams to improve data quality and availability.

  • Conduct exploratory analyses to uncover insights, highlight trends, and support strategic discussions.

Requirements

Qualifications / Experience / Technical Skills

  • 1-2 years of data analysis experience, or a recently completed degree in a relevant field (e.g. Data Science, Statistics, Business Analytics, Computer Science, or similar). Recent graduates are encouraged to apply.

  • Some exposure to BI tools such as Sigma, Tableau, Looker, or Power BI — whether through work, internships, or coursework.

  • Working knowledge of SQL; willingness to develop stronger data modeling skills on the job.

  • Experience or coursework in SaaS, sales, or business operations is a plus but not required.

  • Bachelor's degree in a relevant field, or equivalent practical experience.

Soft Skills / Personal Characteristics

  • Ability to communicate data clearly to non-technical stakeholders.

  • Detail-oriented with a sense of urgency and a proactive, problem-solving mindset.

  • Intellectually curious and eager to learn in a fast-paced environment.

  • Strong interpersonal skills and ability to manage multiple tasks and deadlines.

(REQ ID: 2687)

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