Join Workato as an Analytics Engineer

Workato is the leading integration and automation platform that combines simplicity and power. Built to support large enterprises, our low-code/no-code solution empowers all users, whether they are developers or not, to seamlessly automate workflows across apps and databases.

Trusted by more than 7,000 top brands, such as Box, Grab, and Slack, Workato is an industry leader recognized by Forrester and Gartner. The exciting part? We’re just getting started.

Why You Should Join Us

At Workato, we cultivate a flexible, trust-oriented culture, encouraging every team member to take full ownership of their role. Innovation drives us, and we seek team players who are passionate about building our company together.

Balancing productivity with self-care, we provide a dynamic work environment and numerous benefits that enhance our employees' professional and personal lives. If this sounds like what you're looking for, submit an application. We’re eager to get to know you!

Also, see why:

• Business Insider named us an “enterprise startup to bet your career on.”
• Forbes’ Cloud 100 listed us among the top 100 private cloud companies globally.
• Deloitte Tech Fast 500 ranked us 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.

Job Responsibilities

We are looking for a motivated Analytics Engineer / Data Analyst to join our data team. This position is pivotal in developing and maintaining scalable data pipelines and deriving actionable insights through advanced data analysis and visualization.

In this role, you will:

• Design, build, and maintain robust and scalable data pipelines to support data integration and flow within the organization.
• Create new ELT-based data models using SQL and DBT.
• Collaborate with various teams to understand their data needs and translate these into technical implementations.
• Develop and maintain impactful dashboards and reports using business intelligence tools such as Sigma, Looker, Tableau, or Power BI.
• Perform complex data analysis to guide business decisions and optimize processes.
• Implement data validation and testing to ensure the accuracy and quality of analytics outputs.
• Work with cross-functional teams to ensure data security and privacy compliance.
• Continuously explore and integrate new tools, technologies, and techniques to improve data efficiency and insights.
• Build advanced monitoring and alerting systems.
• Review and interpret business requirements, translating them into data models for ad-hoc reporting capabilities.

Job Requirements

The ideal candidate will have:

• Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, Statistics, or a related field.
• 7+ years of industry experience in data engineering, BI analysis, or an analytics engineer role.
• Strong SQL and Python development skills with hands-on experience in ETL development and data warehousing, including Star Schema and Snowflake Schema models.
• Proficiency in SQL and relational databases.
• Strong programming skills in Python, including data libraries like Pandas and NumPy.
• Experience with ETL tools such as Workato, FiveTran, Matillion, Informatica, and understanding of data integration challenges.
• Experience with data warehouse technologies like Snowflake, Redshift, and BigQuery.
• Familiarity with database tools like DBT and SQLMesh.
• Proficiency in business intelligence tools like Sigma, Looker, Tableau, or Power BI.
• Strong analytical skills with the ability to gather, organize, analyze, and disseminate vast amounts of information with great attention to detail and accuracy.
• Excellent communication skills and the ability to work effectively in a dynamic, collaborative team environment.
• Familiarity with data warehouse technologies and concepts.

Nice to Have

• Experience with cloud platforms (AWS, Google Cloud, or Azure).
• Knowledge of automation platforms like Workato.