DI Analyst

Job description

DI Anaylst Location: Mumbai Employment Type: Full-time Role Overview

We are looking for a Data Intelligence (DI) Analytics Manager who will be responsible for transforming data into actionable insights to support business decision-making. The ideal candidate will have strong analytical skills, hands-on experience with data tools, and the ability to manage stakeholders while driving data-driven strategies.

Key Responsibilities

• Analyze large datasets to identify trends, patterns, and actionable insights
• Design, develop, and maintain dashboards and reports for business stakeholders
• Work with cross-functional teams to understand business requirements and translate them into analytics solutions
• Develop and optimize data models, KPIs, and performance metrics
• Support business planning through forecasting, trend analysis, and performance tracking
• Ensure data accuracy, integrity, and consistency across reports
• Automate repetitive reporting processes using tools and scripts
• Present insights and recommendations to management in a clear and actionable manner
• Mentor junior analysts (if applicable) and ensure best practices in analytics

Required Skills & Qualifications

• Bachelor s degree in Engineering, Statistics, Mathematics, Economics, or related field
• 2 5 years of experience in analytics, business intelligence, or data roles
• Strong proficiency in:
  • SQL, Python, Pyspark
  • Excel (advanced functions, pivot tables, etc.)
  • Data visualization tools (Power BI, Tableau, or similar)
• Good understanding of data modeling and ETL processes
• Working knowledge of Python or R for data analysis (preferred)
• Ability to interpret data and provide business insights
• Strong communication and stakeholder management skills

Preferred Qualifications

• Experience in Data Intelligence / Business Intelligence environments
• Exposure to cloud platforms (Azure, AWS, or GCP)
• Experience working with large datasets and data warehousing concepts
• Basic understanding of machine learning concepts (optional but desirable)

Key Competencies

• Analytical thinking
• Problem-solving mindset
• Attention to detail
• Business acumen
• Communication & presentation skills

Growth Opportunities

• Opportunity to lead larger analytics projects and teams
• Career progression into Senior Analytics Manager / Data Lead roles

Qualifications

• Bachelor s degree in Engineering, Statistics, Mathematics, Economics, or related field
• 2 5 years of experience in analytics, business intelligence, or data roles