Workflow Automation Analyst

Ethos Life · Bangalore, India · Data

Posted 2026-11-12

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About the role

Creating a world-class customer experience is critical to Ethos’s mission. We’re looking for a Workflow Automations Analyst to help our Revenue teams improve how work gets done across Ethos. In this role, you’ll map and redesign business processes, then build the workflows and AI-enabled data pipelines that make them more efficient and scalable. You’ll be tasked with solutioning and enabling internal systems, with a focus on reliable operations and measurable customer impact.

Duties and Responsibilities:

Partner with cross-functional leaders to map, analyze, and redesign business processes for efficiency, scale, and customer impact.

Translate operational needs into workflow requirements, including business logic, data flows, integrations, and success criteria.

Use analytics to drive decisions, prioritize solutions, measure automation impact, investigate failures, and identify opportunities to improve or extend existing workflows.

Build, test, and deploy workflow automations using tools such as Zapier, n8n, CRM workflows, and AI-driven components.

Build AI-enabled data pipelines for use cases such as intent tagging and transcript summarization across products.

Establish QA, UAT, monitoring, and documentation practices so automations run reliably and securely.

Manage a Jira sprint board with epics, stories, tasks and dependencies.

Maintain clear documentation of requirements, data flows, implemented automations, and their outcomes.

Mentor more junior team members and regularly review automations.

Qualifications and Skills:

3+ years hands-on experience designing, building, testing, and maintaining workflow automations using Zapier, n8n, Make, CRM workflows, or similar tools.

Experience mapping business processes and translating operational problems into requirements, business logic, data flows, and measurable outcomes.

History of leading process redesign across teams.

Experience building or contributing to data pipelines and AI-enabled workflows; examples could include intent tagging, transcript summarization, scheduled workflow automations, or routing.

Strong analytical skills, including the ability to use data to diagnose process issues, measure impact, and improve automations after launch. Experience with Snowflake and Hex preferred.

Familiarity with APIs, webhooks, and data integrations. Working knowledge of SQL or Python is preferred.

Experience testing, monitoring, troubleshooting, and documenting workflows that others depend on.

Ability to manage multiple builds, communicate tradeoffs, and explain technical workflows to non-technical partners.

Proactive ownership and sound judgment when handling ambiguous requirements or operational issues

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