Senior Manager - Data

Upraisal People Productivity Performance - Best executive search firm; Mumbai; On-site; INR 2,200,000 - 3,800,000; Full time

Job summary

Upraisal People Productivity Performance - Best executive search firm is seeking a senior data/BI leader to transform raw business data into actionable insights for a multi-location retail operation. You will own data infrastructure, BI, and analytics, driving data-driven decision making across pricing, CRM and operations.

Ideal candidates have 7–10 years in data analytics/BI, strong SQL, Power BI/Tableau, and Python, with experience in data pipelines and warehousing.

Qualifications

• 7-10 years of experience in data analytics, BI, or data engineering.
• Strong SQL, Power BI and Python skills.
• Experience in data pipelines, warehousing and BI.
• Retail / high-volume transaction experience preferred.
• Strong business analytics and decision-making skills.
• Degree in Data Science, Statistics, Engineering, Mathematics or related field.

Responsibilities

• Lead the data infrastructure, BI and analytics function to convert business and customer data into insights.
• Build data pipelines & warehouse across ERP, POS, CRM and digital platforms.
• Develop dashboards for revenue, margins, conversion and inventory.
• Automate reporting and manage data/analytics partners.

Skills

SQL

Power BI

Tableau

Python

Data analytics

Education

Data Science

Statistics

Engineering

Mathematics

Tools

ERP

CRM

Digital platforms

Job description

Lead the data infrastructure, BI and analytics function, converting business and customer data into actionable insights for a growing multi-location retail business.

Key Responsibilities

• Build data pipelines & warehouse across ERP, POS, CRM and digital platforms.
• Develop dashboards for revenue, margins, conversion and inventory.
• Support pricing, CRM and business decisions through data.
• Automate reporting and manage data/analytics partners.

Ideal Profile

• 7-10 years in Data Analytics, BI or Data Engineering.
• Strong SQL, Power BI/Tableau and Python skills.
• Experience in data pipelines, warehousing and BI.
• Retail / high-volume transaction experience preferred.
• Strong business analytics and decision-making skills.
• Degree in Data Science, Statistics, Engineering, Mathematics or related field.