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 seeking a highly skilled and motivated Analytics Engineer / Data Analyst to join our data team. This individual will play a critical role in developing and maintaining scalable data pipelines and providing actionable insights through advanced data analysis and visualization. The ideal candidate will have a strong background in data analytics, expertise in SQL, DBT and Python, and experience with Business Intelligence tools. In this role, you will own and develop data models, data pipelines, tools and critical dashboards.

Design, build, and maintain robust and scalable data pipelines to support data integration and flow within the organization.
Design and build new ELT-based data models using SQL and DBT
Work closely with various teams to understand their data needs and translate these requirements into technical implementations.
Develop and maintain dashboards and reports using business intelligence tools (e.g., Sigma, Looker, Tableau, Power BI) to provide actionable insights.
Perform complex data analysis to help guide business decisions and improve processes.
Implement data validation and testing to ensure accuracy and quality of analytics outputs.
Collaborate with XFN Data teams to ensure compliance with data security and privacy policies.
Continuously explore new tools, technologies, and techniques to improve data efficiency and insights.
Build Advanced Monitoring and Alerting Systems.
Reviewing and interpreting business requirements and translating them into data models for catering to ad-hoc reporting capabilities.

Requirements

Bachelor’s or master’s degree in computer science, Data Science, Engineering, Statistics, or a related field.
7+ years of industry-related experience in a data engineering, BI analyst, or Analytics engineer role.
Should have strong SQL and Python development and with hands-on experience in ETL Development and building Star Schema/Snowflake Schema’s in Data Warehouse.
Proficiency in SQL and experience with relational databases.
Strong programming skills in Python, including experience with data libraries (e.g., Pandas, NumPy).
Experience with ETL tools like Workato, FiveTran, Matillion, Informatica and understanding of data integration challenges.
Experience with Data warehouse Technologies like Snowflake, Redshift, Big query.
Experience with Database tool like DBT, SQLMesh
Proficiency in business intelligence tools like Sigma, Looker, Tableau or Power BI.
Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with 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.
Experience with real-time analytics and data streaming technologies (Kafka, StreamSets).