(Only 24h Left) Data Analyst

Job Description About Nua Nua is a venture-funded, direct-to-consumer (D2C) brand transforming women's wellness in India. Starting with our innovative, chemical-free and India's only fully customisable sanitary pads, we are on a mission to develop holistic and personalized solutions for solving real problems that women face. We do this by building a wellness platform with great products, an impactful community and a personalized customer experience. With a growing community of over 10 lakh women, we are already India's largest and most engaged digital-first FemTech brand. Our story began with a pad. And not just any pad that could be picked off the shelves but one that was truly thought around a woman's needs. Since then, we have grown multi-fold with innovative, inclusive and effective products that are Made Safe certified and backed by science. We continue to co-create products with our community and fuel the D2C revolution through deep consumer insights and investments in technology. Nua has raised over $22 million in venture funding, backed by marquee investors including Lightbox Ventures, Kae Capital, Mirabilis Investment Trust, Deepika Padukone and Vindi Singh Banga, and Kamini Banga of the Banga family office. If you are as passionate as we are in making a difference and creating real impact in a fast-paced and wildly creative environment, then you might just be the person we are looking for. Key Responsibilities Build and maintain Customer Lifetime Value models. Develop analytics capabilities and models for customer acquisition and retention including but not limited to the website. Collaborate with business and marketing teams to refine our user acquisition and retention strategies through developing marketing attribution analytics. Collect requirements, develop technical strategy, and build the data products and services that power Nua. Responsible for analyzing large data sets to develop multiple custom models and algorithms to drive innovative business solutions. Collaborate with cross-functional partners across the business. Conduct advanced statistical analysis to determine trends and significant data relationships. Serve data models as a product to the entire organization, including design, implementation and debugging. Develop models of current state in order to determine improvements needed. Research new techniques and best practices within the industry. What we look for: 2+ years of B2C Analytics experience Tier-1 engineering college graduate/MBA Experience in creating, collecting, analyzing and communicating business insights from data Experience working on metrics such as retention, churn, engagement and marketing analytics Excellent SQL and data warehouse skills; experience writing complex queries on large data sets and deriving actionable insights Experience in Python Experience in Statistical techniques (R, hypothesis testing) Experience in data modelling and warehousing Expertise with data visualization, report building, and dashboard tools (e.g. Tableau, Google Analytics and Clevertap) Ability to work effectively and independently in a fast-paced environment with tight deadlines Strong written and oral communication skills Outstanding attention to detail Preferred Qualifications : Bachelor's / Master's Degree in Information Technology, Computer Science, Operations Research, Economics, Mathematics or related field. Background in hands on statistical analysis and familiarity with core statistical functions, including multivariate regression, correlation models, and analysis of variance. Knows correlation from causation, can identify and manage biases in data, and understands the implications of sample size on the interpretation of results.