Analytics and Modeling Lead

Project Role : Analytics and Modeling Lead Project Role Description : Lead the effort to gather, analyze and model client data (customers, financials, operational, organizational, access channel), key performance indicators, and/or market data (competitors, products, suppliers), using a broad set of analytical tools and techniques to develop quantitative and qualitative business insights and improve decision-making. Must have skills : Databricks Unified Data Analytics Platform Good to have skills : NA Minimum 3 year(s) of experience is required Educational Qualification : 15 years full time education

Summary: As an Analytics and Modeling Lead, a typical day involves spearheading initiatives to collect and interpret diverse data sets related to clients and markets. This role requires synthesizing complex information from various sources to generate meaningful business insights. The position demands a proactive approach to understanding organizational dynamics and market trends, facilitating informed decision-making processes. Collaboration with multiple stakeholders to align analytical outcomes with business objectives is a key aspect of daily activities, ensuring that insights are actionable and strategically relevant.

Roles & Responsibilities:

• Expected to perform independently and become an SME.
• Required active participation/contribution in team discussions.
• Contribute in providing solutions to work related problems.
• Mentor junior team members to enhance their analytical capabilities and support their professional growth.
• Continuously monitor industry trends and emerging analytical methodologies to incorporate best practices into project work.
• Collaborate with cross-functional teams to ensure alignment of data strategies with organizational goals.
• Assist in the development and refinement of data models to improve accuracy and relevance of insights.

Professional & Technical Skills:

• Must To Have Skills: Proficiency in Databricks Unified Data Analytics Platform.
• Strong experience in data integration, transformation, and pipeline development within cloud-based environments.
• Ability to design and implement scalable data models and workflows to support complex analytics.
• Familiarity with data governance principles and best practices to ensure data quality and compliance.
• Experience in optimizing performance of data processing tasks and managing large datasets efficiently.
• Capability to troubleshoot and resolve technical issues related to data analytics platforms.