Business Analyst AI & Analytics - IMMEDIATE JOINER

Job Overview

We are seeking a Business Analyst – AI & Analytics to act as the critical bridge between Analytics Product Management (discovery) and Delivery teams (execution). This role focuses on translating business needs into actionable delivery artifacts across data science, data engineering, and visualization teams within a fast-paced analytics environment.

Role Operating Model

Analytics Product Manager: Leads and owns the discovery phase, manages the product lifecycle, and is accountable for delivering business value and driving adoption post go-live. Defines the vision, prioritizes the backlog, and articulates what the solution needs to achieve and how it should behave.

Business Analyst (This Role): Translates prioritized requirements into detailed, actionable work items (user stories, tasks, acceptance criteria) across data science, data engineering, and visualization. Ensures backlog readiness and supports effort estimation in close partnership with the Product Manager. Partners with the Product Manager to support product lifecycle activities, including measuring value realization and driving adoption post go-live.

Delivery Manager: Organizes work into sprints, ensures delivery commitments are met, manages project budgets, leads daily delivery standups, oversees stakeholder communication during delivery, and works with the delivery team to provide alternatives, address technical challenges, and remove roadblocks.

Key Responsibilities

Business Requirements & Translation

- Partner with Product Managers to translate discovery outputs into execution-ready backlog

- Create detailed user stories, epics, and acceptance criteria

- Ensure backlog clarity, completeness, and prioritization readiness

Stakeholder Management

- Act as liaison between business, product, and delivery teams

- Facilitate workshops and requirement sessions

- Ensure alignment across stakeholders

AI/ML & Data Science Enablement

- Translate business problems into AI/ML/LLM use cases

- Define features, KPIs, and evaluation metrics with data science teams

- Support model testing, validation, and business adoption

Data & Platform Collaboration

- Work with Data Engineering to define data pipelines and transformations

- Ensure clarity around data sources, lineage, and quality

- Support development in Databricks and visualization tools such as Power BI

Visualization & Insights

- Design and validate dashboards and reporting solutions

- Translate analytics into actionable insights and recommendations

- Drive adoption through business storytelling and enablement

Supply Chain Analytics

- Support use cases in demand forecasting, inventory, logistics, and planning

Required Skills & Experience

- 3–6+ years of experience as a Business Analyst in analytics/data-driven environments

- Strong supply chain domain knowledge

- Experience working in Agile/Scrum environments

- Strong requirements elicitation and user story writing skills

- Understanding of AI/ML concepts and lifecycle

- SQL and data analysis capabilities

- Experience with Power BI and/or Databricks

- Excel (Power User level)

- SharePoint proficiency

Preferred Qualifications

- MBA or relevant certifications (CBAP, PMI-PBA, Agile BA, etc.) are advantageous

- Experience working on analytics, machine learning, AI, or digital transformation projects preferred

- Background in Analytics / MIS (Management Information Systems) preferred

Nice to Have

- Python programming

- Familiarity with data science workflows

- Experience with Power Automate

Success Metrics

- High-quality, delivery-ready backlog with minimal rework

- Strong alignment between product intent and delivered solution

- Timely and predictable delivery cycles

- Stakeholder satisfaction and adoption of analytics solutions

- Measurable impact on business KPIs

What We Value

- Ability to operate in ambiguity and translate it into clarity

- Strong collaboration across technical and business teams

- Delivery-focused mindset

- Structured problem-solving and systems thinking

- Strong communication and storytelling skills