Data Analyst

ABOUT US

Livspace is Asiaʼs largest and fastest-growing omnichannel home interiors and renovation platform. Using its proprietary technology, Livspace provides a one-stop renovation solution for homeowners—from design to managed last mile fulfillment for all rooms in a home. The platform has organized a fragmented industry, bringing together designers, brands, manufacturers, and contractors to enable an eCommerce-like trusted, and predictable experience.

The company launched operations in Bengaluru, India in 2015. Since its inception, Livspace has organized a fragmented industry, bringing together a curated community of designers, brands, manufacturers and contractors. This has resulted in an e-commercelike trusted and predictable experience for the homeowners. Livspace boasts of a community of 50000+ satisfied customers and over 2000 interior designers.

The company is already the largest employer of interior designers in the country. Livspace currently serves Singapore, Malaysia, Saudi Arabia as well as 30 metro and non-metro areas in India including - Bengaluru, Chennai, Delhi, Noida, Gurgaon, Mumbai, Thane, Pune, Hyderabad, Kolkata, Ahmedabad, Kochi, Jaipur, Lucknow, Indore, Surat, Coimbatore, Mysore, Mangalore, Vizag, Vijayawada.

Livspace has showcased phenomenal growth since its launch, having delivered over 125,000 rooms and selling over 7.5 million SKUs through its platform. The company also delivered 50,000 homes across all our serviceable locations.

The founders - Anuj Srivastava and Ramakant Sharma are former Google and Myntra executives respectively, who are seasoned entrepreneurs and successful angel investors. Livspaceʼs leadership team combines world-class talent and entrepreneurial experience gathered at some of the best companies in the world.

Livspace has raised around USD 450 million in capital from some of the top global investors including KKR, Ingka Group Investments (part of largest IKEA retailer Ingka Group), TPG Growth, Goldman Sachs, Kharis Capital, Venturi Partners, FFP (Peugeot Groupʼs Holding Company), EDBI, Bessemer Venture Partners, Jungle Ventures, Helion Ventures and UC-RNT. For more information, please visit: "https://www.livspace.com/"

About the role:

We're looking for a skilled professional who will overlook the marketing technology stack and work closely with marketing, sales, product and data teams to plan and deliver ideas that drive customer acquisition, solution adoption and customer retention. This role combines strategic campaign planning with hands-on execution, focusing on multi-channel marketing automation, lead generation and lead qualification.

Key Responsibilities:

• Support delivery of the Data Quality Management and Data Architecture initiatives.

• Provide business analysis, data discovery, data architecture expertise to enable delivery of the Business Data Architecture

• Provide the Logical Data Model, Data Definitions, Data Standards and Data Quality rules for business-critical client data.

Lead the analysis of the data discovery work, identify enhancements to improve the quality of the data, and produce the data lineage artifacts required by data architecture.

• Ensures proposed data lineage designs align with the design work defined by Business Data Architecture.

• Manages key elements of one or more operational information and data projects. Assists in the gathering and evaluation of data. Evaluates data by interpretation, drawing practical conclusions from it and communicating data analysis results. Delivers on responsibilities for Sprint deliverables, when required.

•Guides stakeholders in understanding analyses / outcomes and using them. Helps the business find the right answer to solve their business problems; determines feasible solutions contributing to the development of new business models. Influential at team level through oral presentations, business cases and investment proposals.

EXPERTISE AND QUALIFICATIONS

• B.Tech/B.E. in Computers /BCA/MCA

• 1-2 years of overall work experience.

• 1-2 years of strong experience in Business Intelligence and Data Analytics

• Expert in SQL

• Working experience in R, Python Scipy, Matlab or any equivalent Statistical environment.

Experience with any of the standard BI Reporting/Visualisation tools like Quicksight/ Metabase/Tableau/Looker or any equivalent.