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Intern, Analytics Engineer

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”

  • 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 are looking for an exceptional Analytics Engineer Intern to join our growing team. In this role, you will be involved in conceptualizing and building data models to be used by our internal stakeholders. Additionally, you are responsible for designing and producing visually compelling reporting solutions (reports, dashboards, interfaces, etc.) using reporting tools, applications, and scripts. Finally, you will also be helping to drive Data Governance initiatives.

  • Building efficient data models to drive analysis and key metrics.

  • Optimization of analytical workflows to improve productivity through the use of macros and packages.

  • Development of frontend analytics to support data-driven decision making.

  • Contribute to Data Governance initiatives by suggesting ideas to strengthen our processes.

  • Collaborate with internal business stakeholders to understand various data pain points and develop solutions to resolve those issues.

  • Support operational needs of various business units.

Requirements

Qualifications / Experience / Technical Skills

  • Currently pursuing a degree in Business Analytics, Information Systems, or other related field.

  • Able to commit for at least 6 months.

  • Good understanding of Database concepts such as ERD.

  • Intermediate SQL skills (e.g. Join, CTE, and window functions etc).

  • Experience in building frontend analytics using Business Intelligence Tools (Tableau, PowerBI, Sigma Computing etc).

  • Experience with Extract-Load-Transform (ELT) scripts in any language is a plus.

  • Experience in using data warehouses such as Snowflake and data transformation tools such as dbt Cloud is a plus.

Soft Skills / Personal Characteristics

  • Fast mover and comfortable navigating a fast-paced environment.

  • Excellent organizational skills and ability to juggle multiple projects simultaneously.

  • Strong analytical skills, verbal and written communication skills are required to present actionable insights to business leaders.

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Demographic and Self-Identification Questions (APJ)

Workato fosters an environment where diversity is celebrated and employees feel a sense of community and belonging. Our ability to win together as a team and to better each other is strengthened through our global perspectives, cultures, and identities. Your responses to the following questions are used (in aggregate only) for anonymized reporting related to our diversity and inclusion efforts. Your responses will not be associated with your specific application, will not be shared with the hiring team, and will not in any way be used in the hiring decision.

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