Data Analyst

Piquota Digital Inc; Chennai District; On-site; INR 1,800,000 - 3,200,000; Full time

Job summary

Piquota Digital Inc in Chennai is seeking a data products leader to shape the strategic direction and long-term vision of our data platforms. You will align with business goals and drive the product roadmap to prioritize impactful features.

You will collaborate with Data Engineering, BI and Data Science to translate stakeholder needs into clear requirements, uphold governance and security, and champion adoption through training and documentation.

Responsibilities

• Shape the strategic direction and long-term vision for data products alongside organizational objectives
• Build and maintain a detailed product roadmap that guides development and feature prioritisation
• Establish key performance indicators and metrics to measure product success and impact
• Work across Data Engineering, BI and Data Science teams to align technical capabilities with business goals
• Translate stakeholder needs into clear user stories and detailed technical specifications
• Oversee data quality standards, governance frameworks and security protocols across all product touchpoints
• Champion product adoption through training, documentation and cross-functional engagement
• Monitor product performance and user feedback to identify opportunities for enhancement
• Continuously refine features and workflows based on usage patterns and business outcomes
• Lead initiatives that improve system reliability, performance and user satisfaction
• Partner with teams to balance technical constraints with product objectives
• Document product requirements and decision rationale for team reference and future scaling

Job description

Batch: 2020/2021/2022/2023/2024/2025. About the role:

• Shape the strategic direction and long-term vision for data products alongside organizational objectives


• Build and maintain a detailed product roadmap that guides development and feature prioritisation


• Establish key performance indicators and metrics to measure product success and impact


• Work across Data Engineering, BI and Data Science teams to align technical capabilities with business goals


• Translate stakeholder needs into clear user stories and detailed technical specifications


• Oversee data quality standards, governance frameworks and security protocols across all product touchpoints


• Champion product adoption through training, documentation and cross-functional engagement


• Monitor product performance and user feedback to identify opportunities for enhancement


• Continuously refine features and workflows based on usage patterns and business outcomes


• Lead initiatives that improve system reliability, performance and user satisfaction


• Partner with teams to balance technical constraints with product objectives


• Document product requirements and decision rationale for team reference and future scaling