Role Expectations: - Proven experience as a Data Analyst, preferably in Retail Industry. - Excellent problem-solving and critical-thinking skills. - Efficiently collect, clean, and preprocess datasets using Python, ensuring data quality and readiness for analysis - Demonstrate advanced proficiency in Python, utilizing libraries such as Pandas and NumPy for effective data manipulation and analysis. - Apply statistical methods and machine learning techniques to analyse data, extracting meaningful insights to inform decision-making. - Create clear and compelling visualizations and reports using Matplotlib, Seaborn, or similar tools to communicate data findings to diverse stakeholders. - Collaborate with cross-functional teams, translating complex analytical findings into actionable insights for both technical and non-technical audiences. - Stay current with Python libraries and data analysis trends, demonstrating a commitment to ongoing learning and adapting to evolving business needs. - Identify opportunities to streamline data analysis workflows through automation, improving efficiency and reducing manual efforts. - Should have Knowledge of SQL/ MySQL / Redshift etc. or similar databases - Knowledge of any cloud computing (AWS, GCP, Azure, etc.) is an added advantage Role Deliverables: - Provide well-prepared datasets with thorough cleaning and preprocessing, ensuring data quality for analysis. - Maintain a well-documented and efficient Python codebase for data manipulation, analysis, and visualization, facilitating reproducibility. - Create clear and insightful visualizations that effectively communicate key patterns, trends, and insights uncovered during data analysis. - Generate comprehensive reports summarizing data findings, actionable insights, and recommendations for stakeholders. - Actively participate in collaborative discussions, sharing data-driven insights with team members and contributing to informed decision-making processes - Always strive for automation to reduce human error and save time across organization Reporting Relationships: - Reporting To: Lead Data Scientist Role Specifications: Educational Qualifications: - Graduate or Master's from Science stream Experience Required: - 2 Year of Experience in Data analysis. About SUGAR Cosmetics (www.sugarcosmetics.com): SUGAR Cosmetics, a cult favorite amongst Gen Z and millennials, is one of the fastest-growing premium beauty brands in India. With its clutter-breaking persona, signature low-poly packaging and chart-topping products, SUGAR is the makeup of choice for bold, independent women who refuse to be stereotyped into roles. Crafted in state-of-the-art facilities across Germany, Italy, India, USA and Korea, the brand ships its bestselling products in Lips, Eyes, Face, Nails & Skin categories across the world. With a cruelty-free range that is high on style and higher on performance, the brand is obsessed with crafting products that are a perfect match for every Indian skin tone across seasons and around the calendar. Backed by the trust of marquee investors and the love of millions of makeup enthusiasts, SUGAR Cosmetics is rapidly scaling its physical presence with 50,000+ retail touchpoints across 550+ cities and a mission of reaching the doorstep of every makeup user in the country. Why Choose SUGAR for Your Career? At SUGAR Cosmetics, our culture is built on four core values that drive our success and shape the way we work. - HUNGER: We are driven by an unwavering ambition to build one of India's most profitable and enduring consumer unicorns, continuously innovating to set new industry benchmarks. - HUSTLE: Efficiency is at the heart of everything we do. With 2.2X revenue generated for every $1 of funding, we maximize impact while maintaining a sharp focus on sustainable growth. - HUMILITY: We believe that the best lessons come from experience-ours and others'. By learning from both successes and failures, we stay agile, competitive, and always open to growth. - HUMOR: Challenges are inevitable, but resilience comes from perspective. At SUGAR, we embrace experimentation and setbacks with optimism, knowing that each failure is a step closer to innovation. Join us in shaping the future of beauty, fueled by ambition, efficiency, learning, and a touch of humor.

Mumbai

Vellvette Lifestyle - Data Analyst 

Job Description for Vellvette Lifestyle - Data Analyst  in Vellvette Lifestyle Private Limited in  Mumbai for (2-3) years of experience. Apply Now!