Data Lead

RPSG Group; Kolkata District; On-site; INR 900,000 - 1,500,000; Full time

Job summary

RPSG Group is seeking an experienced Data Lead to guide its Group IT & Digital data strategy. You will drive data management, BI, and analytics to enable data-driven decisions and measurable business outcomes.

You will lead and mentor the analytics team, build scalable pipelines and data platforms, ensure governance and security, and deliver insights through dashboards and reports. Collaboration with stakeholders is essential for opportunities and improvements.

Qualifications

• 6-10 years of experience in Data Analytics, BI, Data Management, or related domains.
• Strong expertise in SQL, Python, Power BI/Tableau, and data visualization.
• Hands-on experience with data warehousing, ETL processes, and cloud platforms (AWS/GCP/Azure).
• Proven experience leading and mentoring analytics or data teams.
• Strong understanding of data governance, data quality, and data management best practices.

Responsibilities

• Lead the organization's data and analytics strategy to support business objectives.
• Manage and mentor the data analytics team, driving high performance and capability development.
• Develop and maintain scalable data pipelines, warehouses, and reporting solutions.
• Ensure data quality, governance, security, and compliance across systems.
• Deliver actionable insights through dashboards, reports, and advanced analytics.
• Collaborate with business stakeholders to identify data-driven opportunities and solutions.

Skills

SQL

Python

Power BI

Tableau

Data visualization

ETL

AWS

GCP

Azure

Data warehousing

Leadership

Education

Bachelor's degree in Engineering/CS/IT/Data Science

Master's degree preferred

Tools

AWS

GCP

Azure

ETL Tools

Data Warehousing

Job description

RPSG Group is looking for an experienced Data Lead to join its Group IT & Digital team. You will drive the organization's data and analytics strategy by leading data management, business intelligence, and data-driven decision-making initiatives to deliver measurable business outcomes.

Role & responsibilities

• Lead the organization's data and analytics strategy to support business objectives.
• Manage and mentor the data analytics team, driving high performance and capability development.
• Develop and maintain scalable data pipelines, warehouses, and reporting solutions.
• Ensure data quality, governance, security, and compliance across systems.
• Deliver actionable insights through dashboards, reports, and advanced analytics.
• Collaborate with business stakeholders to identify data-driven opportunities and solutions.
• Drive BI and analytics initiatives to improve operational efficiency and decision-making.
• Oversee the implementation and optimization of data platforms, tools, and technologies.
• Monitor key performance indicators (KPIs) and provide recommendations for business improvement.
• Evaluate emerging analytics, AI, and data management technologies to enhance organizational capabilities.
• Manage analytics projects, timelines, resources, and vendor engagements where applicable.
• Foster a culture of data-driven decision-making across the organization.

Preferred candidate profile

• 6-10 years of experience in Data Analytics, Business Intelligence, Data Management, or related domains.
• Strong expertise in SQL, Python, Power BI/Tableau, and data visualization.
• Hands-on experience with data warehousing, ETL processes, and cloud platforms (AWS/GCP/Azure).
• Proven experience leading and mentoring analytics or data teams.
• Strong understanding of data governance, data quality, and data management best practices.
• Experience translating business requirements into data-driven solutions and actionable insights.
• Excellent stakeholder management, communication, and problem-solving skills.
• Exposure to advanced analytics, predictive modelling, and AI/ML initiatives is preferred.
• Ability to manage multiple projects, prioritize effectively, and deliver results in a fast-paced environment.
• Bachelor's degree in Engineering, Computer Science, IT, Statistics, Mathematics, Data Science, or a related field; Master's degree preferred.