Intern, Product Insights Analytics
Intern, Product Insights Analytics
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Job Description
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 400000 global customers Workato empowers organizations of every size to unlock new value and lead in todays fast-changing world. Learn how Workato helps businesses of all sizes achieve more at .
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. Thats 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
Quartz ranked us the #1 best company for remote workers
Responsibilities
As an Intern Product Insights Analytics in the Product Management team you will play a key role in driving the success of our products by developing data models writing code monitoring data and communicating results. Youll work closely with Data Engineers and Product Analysts to support the delivery of high-quality reliable and accessible product usage get hands-on experience with modern data tools build data models and help turn raw data into actionable insights that drive product and business decisions. Moreover you will explore technologies like GenAI and their potential applications to augment our product usage datasets.
In this role you will also be responsible to:
DBT Modeling:
- Design develop and maintain data models using dbt (Data Build Tool) for data transformation and analysis providing accurate and consistent data for end users and stakeholders.
- Collaborate with Data Analysts and Business Stakeholders to understand their reporting and analysis needs and translate them into DBT models.
- Maintain our internal dbt conventions and best practices ensuring our code-base is clean and efficient.
Data Reliability and Completeness:
- Ensure data quality and consistency by implementing robust testing validation and cleaning processes on source tables to improve data reliability.
- Apply data monitoring solutions to ensure data flows and transformations are performing optimally and accurately.
- Create and maintain data documentation & definitions including data dictionaries and process flows.
Collaboration with Data & Engineering Teams:
- Partner with data engineers product analysts GTM data teams and other stakeholders to align data insights with product improvements.
- Communicate complex data patterns and conclusions effectively to internal and external stakeholders coworkers and end-users.
- Evangelize our teams data models to business users accelerating their time to insights.
Exploring Emerging Technologies:
- Actively research the applicability of new tools and technologies like GenAI for enhancing data engineering and analysis.
- Develop and test prototypes that showcase the potential impact of GenAI and similar technologies on our current product usage datasets.
Requirements
Qualifications / Experience / Soft Skills
Proficiency in SQL database knowledge and understanding of Python. Knowledge of using DBT is a plus.
Fast mover and comfortable navigating a fast-paced environmentCurrently pursuing a degree in Data Science Computer Science Engineering Business Analytics or a related field.
Resourceful in execution and results-oriented
Strong analytical skills and a passion for data-driven decision-making
Curious mindset with attention to detail.
Thoughtful team player a quick learner and have a can do attitude with a growth mindset
Excellent communication skills with the ability to articulate complex data models data-driven insights and issues stakeholders effectively
Interns who will be able to commit on a full-time basis for at least 6 months will be preferred.
(REQ ID: 2245)
Required Experience:
Intern
Employment Type
Intern
