Business Context and Opportunities
A global conglomerate, the Aditya Birla Group is in the League of Fortune 500. Anchored by an extraordinary force of over 140,000 employees belonging to 100 nationalities, the Group is built on a strong foundation of stakeholder value creation. With over seven decades of responsible business practices, our businesses have grown into global powerhouses in a wide range of sectors – metals, pulp and fibre, chemicals, textiles, carbon black, telecom, cement, financial services, fashion retail and renewable energy. Today, over 50% of Group revenues flow from overseas operations that span 36 countries in North and South America, Africa, Asia and Europe.
The Group would like to expand its Retail Footprint and leverage the trust and synergy built over the years in luxury retail by launching a Jewellery Business in India. India's gems and jewellery market contributed around 7% to GDP and 14% to India’s total merchandize export in February’21 with a market size was at US$ 78.50 billion in FY21. The jewellery industry in India is largely driven by individual family owned small to medium size businesses. Thus, the Group anticipates that there is scope of development of large retailers / brand in jewellery industry in near future. The venture will benefit from the retail experience, knowhow and trust build over the years with various ABG Luxury Retail Brands. It will also be able to harness the people, technical and operational capabilities from Group’s retail arms. The range will be developed as a proof of concept for an integrated offering and may be diversified with multiple brands post establishment of a commercially viable business model.
Key Responsibilities:
•Design, develop, and maintain the data architecture, models, and pipelines that enable data ingestion, storage, processing, and analysis across the organization.
•Design, Implement and optimize the data lake/warehouse, data-marts, and data cubes using Azure and other cloud-based technologies for advanced analytics.
•Develop and maintain a data-mart (Gold layer) to support the organization’s data needs.
•Develop and implement the data governance framework, policies, and procedures to ensure data quality, accuracy, consistency, and security.
•Ensure data governance and compliance with relevant data protection regulations.
•Lead the data integration and transformation processes using ETL/ELT tools and techniques.
•Create and manage the business and operation control towers, dashboards, reports using Power BI and other visualization tools to visualize key metrics and insights for stakeholders.
•Provide business analytics and insights to support decision making, performance measurement, and process improvement.
•Collaborate with cross-functional teams to identify opportunities for leveraging data to drive business solutions.
•Manage and mentor a team of data analysts and engineers, and foster a culture of collaboration, innovation, and excellence.
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