"Tell me about a time you automated a manual process in your analytics or business operations work. What was broken about the existing process, how did you decide what to automate, and what impact did it have on the team or product? If relevant, include how you worked with partners across teams or systems like Meta Ads Manager, Facebook Insights, or internal dashboards."
This question tests whether you go beyond identifying inefficiency and actually take ownership to improve it. For a Business Analyst role at Meta, interviewers want to see that you can spot repetitive work, quantify the cost of keeping it manual, prioritize the right automation opportunity, and drive adoption even when you do not directly own the upstream systems or stakeholder roadmap.
They are also looking for judgment: not every manual process should be automated. Strong candidates show how they evaluated trade-offs, handled ambiguity in requirements, and influenced others to trust and use the new workflow.
A strong answer uses a specific example with clear stakes, explains the manual baseline, walks through the automation approach step by step, and quantifies the business impact. The best responses also mention adoption, reliability, and one lesson learned about scaling process improvements rather than just building a one-off script.