Lead Product Analyst

Iris Software; Dadri; On-site; INR 800,000 - 1,200,000; Full time

Job summary

Iris Software is looking for a Lead Product Analyst in Dadri, Uttar Pradesh, to manage data products and analytics strategies. This role requires collaboration with various business stakeholders to translate needs into effective data solutions. Ideal candidates will possess strong analytical skills with a focus on leveraging technology like AWS and Databricks.

The position demands expertise in data operations and analytics with a preference for experience in supply chain. Candidates should have a proven track record in leading data teams and developing analytics frameworks that drive business outcomes.

Qualifications

• Experience in data product design and delivery.
• Strong background in data analytics and operations.
• Ability to translate business needs into data solutions.

Responsibilities

• Define and manage the roadmap for data products.
• Collaborate with teams for stakeholder engagement.
• Deliver scalable data solutions on AWS and Databricks.

Skills

Business Analysis

Data Operations

Data Analytics

Communication

Collaboration

SQL

Education

Relevant degree or equivalent experience

Tools

AWS Cloud

Databricks

Sigma BI

SQL Server

Job description

Lead Product Analyst

Location: Noida, UP, India

Job Description

Job Summary

• We are seeking a Business Analyst with experience in Data, Data Operations, and Data Analytics program to lead the design, delivery, and adoption of data products, dashboards, and insights platforms within business operations teams.
• This role sits at the intersection of product management, data analytics, with expertise in supply chain domain (preferred), helping business understand data capabilities, translate their needs into tangible requirements for the data engineering and data analytics team and build a robust data services ecosystem for the business & end customers.
• You will work with business stakeholders, data engineering teams, BI developers, and architects to build scalable data solutions leveraging AWS Cloud, Databricks Lakehouse, Sigma BI, SQL Server, and DataGalaxy governance platform.

Key Responsibilities

• 1. Data Product Strategy & Ownership
  • Help define and manage the roadmap for data products, analytics platforms, and BI dashboards supporting logistics operations.
  • Develop domain-focused data products for:
    • LTL pricing & quoting optimization
    • Carrier performance & route efficiency
    • Warehouse operations & inventory visibility
    • End-to-end shipment tracking & KPIs
  • Drive adoption of data as a product mindset, aligning analytics outputs to measurable business outcomes.
• 2. Stakeholder Engagement & Business Translation
  • Partner with operations, pricing, supply chain, and leadership teams to define:
    • KPIs and metrics frameworks
    • Reporting and dashboard requirements
    • Advanced analytics use cases
  • Act as the bridge between business and data/engineering teams, ensuring clarity and alignment.
• 3. Data & Analytics Delivery (AWS + Databricks + Sigma)
  • Translate business requirements into:
    • Databricks-based data models (Lakehouse architecture)
    • Scalable data pipelines on AWS (S3, Glue, Redshift/Synapse equivalent patterns)
    • Semantic datasets and curated layers for BI
  • Partner with BI teams to deliver interactive dashboards using Sigma, enabling:
    • Self-service analytics
    • Spreadsheet-like exploration for business users
    • Real-time querying on governed data
  • Ensure seamless integration of SQL Server-based data sources into the enterprise analytics ecosystem.

Mandatory Competencies

• BA – Business Analyst – Requirement Gathering
• BA – Business Analyst – Business Process Modelling
• BA – Business Analyst – Root Cause Analysis (RCA)
• BA – Domain knowledge
• BA – SQL
• BA – Business Analyst – GAP Analysis
• BA – Business Analyst – SWOT Analysis
• Beh – Communication and collaboration