Jobs in Mumbai, India

About the role

Portcast has already been used by global freight forwarding companies, manufacturers and cargo airlines. Our customers trust us to deliver fast, reliable and secure predictions, our engine answers when, where, why, and by how many days a container will be delayed. That trust lives or dies on data quality, and that's what you'll own. As our Data Analyst, you will be reporting directly to our Analytics Manager and work closely with our Data Science, Engineering, Product, and Commercial teams. You'll sit on a data-heavy product that gives customers end-to-end visibility of their cargo across the ocean journey, making sure the data we ingest into the models and share with customers is error-free and of the highest quality. You won't just run the query and close the ticket here. When an anomaly shows up, you'll chase why it's there, trace it to the real source, and fix the process so it doesn't come back. Curiosity isn't a nice-to-have on this team, it's how we build.

What you'll bring

• Bachelor's or Master's degree in Computer Science, Engineering, Information Technology, or a related field.
• At least 2-3+ years in a Data Analyst or Business Analyst role
• Exceptionally skilled in Python and SQL, with a demonstrated ability to consistently produce reusable and highly scalable code.
• An eye for detail: you go looking for anomalies in the system before a customer does, and proven experience turning messy data into clear visualizations.
• First Principles Thinker: when you explain a past decision, the trade-offs come out before the tools.
• You name the constraint, the alternatives you considered, and why you picked what you picked.
• You don't reach for a new tool when a tighter use of an existing one would do the job.
• Curious by Default: you dig deeper instead of following instructions to the letter.
• When the data surprises you, you chase the why, not just the fix, and you ask the good questions early.
• You own your output, AI included.
• You use AI tools (Claude, Copilot, etc.) where they make you faster on QA, automation, and analysis, and you know exactly where they fall short.
• You read and validate what they produce — you don't just paste it.

Locations