ADCI

Project/Program/Product Management--Non-Tech, Planning/Development, selling partner services

BusinessAnalyst

₹8–11L ~AI est. Bengaluru, Karnataka, India FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Mid+ candidates.

The Brief

“Business Analyst at ADCI. Skills: Metrics framework, Data sources, Actionable insights. Define and own metrics framework. Identify gaps in measurement”

What You'll Achieve.

Protect customers from deceptive claims; Enable trustworthy shopping experiences; Measure program effectiveness; Shape program direction; Influence roadmaps; Prioritize enforcement strategies; Measure effectiveness of ML/AI models; Identify root causes; Recommend program improvements; Reduce dependency on ad-hoc analysis; Enable faster, data-informed decisions

Industry & Context.

Project/Program/Product Management Non Tech, Planning/Development, selling partner services
Problems you'll solve

Identify underlying data sources; Design new metrics frameworks; Deliver actionable insights; Identify root causes; Recommend program improvements

What They're Looking For.

Must Have

2+ years of business analyst experience, Experience with data visualization, Experience with Excel, Experience with SQL

Nice to Have

Experience defining requirements, Experience using data and metrics to draw business insights, Experience partnering with executive-level leaders

What You'll Do.

Define and own metrics framework

Identify gaps in measurement

Establish baselines and targets

and onboard data sources

Build data foundation for analytics

Design and build dashboards

Provide real-time visibility

Collaborate across cross-functional teams

Align on metric definitions

Align on data requirements

Align on reporting cadences

Provide data-driven insights

Prioritize enforcement strategies

Measure effectiveness of ML/AI models

Develop key performance indicators

Track progress against business objectives

Conduct deep-dive analyses

Recommend program improvements

Build scalable analytical processes

Build repeatable analytical processes

Build self-service tools

Enable faster decisions

Enable data-informed decisions

How You'll Work.

Team & Collaboration

Cross-functional teams; Risk, Legal, Operations; Science, Tech, Finance

Communication Scope

Senior stakeholder communication

Full Job Description

Misleading Claims is part of the Regulatory Intelligence Safety and Compliance (RISC) organization. We are on a mission to protect customers from false and deceptive claims on products, enabling trustworthy shopping experiences at Amazon. We are seeking an experienced Business Analyst to drive the metrics strategy and data infrastructure for Amazon's Misleading Claims program. This role will define, build, and own the key performance metrics that measure program effectiveness in protecting customers from deceptive product claims across our marketplace. The ideal candidate will independently identify underlying data sources, design new metrics frameworks where none exist, and deliver actionable insights that shape program direction. You will partner with Risk Management, Tech, Science, and Ops teams to translate complex enforcement outcomes into measurable business indicators. Strong analytical judgment, deep SQL proficiency, and experience working with trust and safety or compliance programs are essential. This role requires the ability to operate independently in ambiguous, fast-moving environments where data definitions and measurement approaches must be built from the ground up. Key job responsibilities The successful candidate will: - Define and own the end-to-end metrics framework for the Misleading Claims program, including identifying gaps in existing measurement, creating new metrics, and establishing baselines and targets for program performance - Independently identify, evaluate, and onboard underlying data sources across enforcement, detection, and seller behavior systems to build a comprehensive data foundation for program analytics - Design and build dashboards and reporting mechanisms that provide real-time visibility into program health, enforcement accuracy, detection coverage, and seller impact - Independently collaborate across cross-functional teams – Risk, Legal, Operations, Science, Tech, and Finance – to align on metric definitions, data requir

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