Senior Data Analyst

Company Description Scentopia Singapore (jetaime pte. ltd) is a fragrance-focused company that blends creativity, science, and technology to deliver customized scent experiences for consumers and corporate clients. The organization emphasizes innovation in perfumery, data-driven customer insights, and personalized offerings across events, retail, and digital channels. Team members collaborate across functions to build unique products and services that enhance brand engagement and customer satisfaction. The company values curiosity, experimentation, and collaboration, providing opportunities to contribute to business growth through data and analytics.
Role Description This is a full-time, on-site Senior Data Analyst role based in Hyderabad. The Senior Data Analyst will collect, clean, and analyze data from multiple sources, including customer interactions, sales, marketing campaigns, and operational systems. The role involves building dashboards and reports, developing data models, and applying statistical techniques to uncover patterns, trends, and opportunities that support decision-making. The Senior Data Analyst will work closely with cross-functional teams to translate business questions into analytical tasks, present findings in clear narratives, and recommend actions that improve performance. Day-to-day responsibilities include validating data quality, designing metrics, performing exploratory data analysis, and collaborating with stakeholders to implement data-driven initiatives.
Qualifications
Candidates should possess strong Analytical Skills and proven experience in Data Analytics.
Candidates should possess practical knowledge of Statistics and experience applying statistical methods to business problems.
Candidates should possess robust Data Modeling skills, including designing and maintaining data structures for reporting and analysis.
Candidates should possess clear and effective Communication skills, with the ability to present complex insights to non-technical stakeholders.
Proficiency in SQL and at least one analytics or scripting language (e.g., Python, R) is preferred.
Experience with BI and visualization tools (e.g., Tableau, Power BI, Looker) is beneficial.
Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science, Engineering, or a related quantitative field is preferred.
Experience in consumer products, retail, or marketing analytics, and familiarity with A/B testing and customer segmentation, is an advantage.

Work arrangement
No