Senior Data Analyst

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 for Senior Data Analyst in Mumbai, India

• Develop and maintain Customer Lifetime Value (CLTV) models, and build analytics capabilities for customer acquisition and retention, including website-specific strategies.
• Collaborate with business and marketing teams to refine user acquisition and retention strategies through advanced marketing attribution analytics.
• Collect requirements, define technical strategy, and build data products and services that support Nua's operations.
• Analyze large datasets to develop custom models and algorithms for innovative business solutions.
• Partner with cross-functional teams across the organization to drive data-informed decisions.
• Conduct advanced statistical analysis to identify trends and significant data relationships.
• Serve data models as a product to the organization, overseeing their design, implementation, and debugging.
• Develop models of current business states to identify areas for improvement.
• Research and implement new techniques and best practices within the data analytics industry.

What we look for in a Senior Data Analyst:

• Minimum 2 years of experience in B2C Analytics.
• Graduate from a Tier-1 engineering college or hold an MBA.
• Proven experience in collecting, analyzing, and communicating business insights from data.
• Familiarity with key metrics such as retention, churn, engagement, and marketing analytics.
• Excellent SQL and data warehousing skills, with experience in complex queries on large datasets.
• Proficiency in Python for data analysis and modeling.
• Experience with statistical techniques (R, hypothesis testing).
• Knowledge of data modeling and warehousing principles.
• Expertise in data visualization, report building, and dashboard tools (e.g., Tableau, Google Analytics, Clevertap).
• Ability to work independently and effectively in a fast-paced environment with tight deadlines.
• Strong written and oral communication skills.
• Exceptional attention to detail.

Preferred Qualifications:

• Bachelor's or Master's Degree in Information Technology, Computer Science, Operations Research, Economics, Mathematics, or a related field.
• Hands-on experience in statistical analysis, including multivariate regression, correlation models, and analysis of variance.
• Understanding of correlation vs. causation, bias identification and management in data, and the implications of sample size on result interpretation.