Executive/ Sr. Executive - CMI

Over the past 7 years, SUGAR has scaled to become one of the fastest-growing and most storied digitally- native brands. This has been built on the back of hard work, uncapped ambition, and relentless execution. As the company makes its journey from being a successful DTC startup to a multi-brand beauty and personal care conglomerate, this is an opportunity to learn from and help shape a bunch of passionate individuals who are looking to make this dream a reality.

Please read more about us:

• Our website - https://in.sugarcosmetics.com/
• Instagram - https://www.instagram.com/trysugar
• Twitter - https://twitter.com/trySUGAR

Why Sugar for Your Career?

Driven by deeply entrenched Values:

HUNGER: We believe that Sugar can be the most profitable consumer unicorns out of India 

HUSTLE: Hyper capital efficient, we generated 2.2X revenue for every $ of funding raised till date

HUMILITY: Learn from the best, compete with the rest - we’re huge fans of learning from other’s hits and misses 

HUMOUR: We experiment, we fail, but push each other to see the lighter side of things to get up and try again

New Pieces:

• https://www.business-standard.com/article/companies/actor-ranveer-singh-joins-indian-startup-story-invests-in-sugar-cosmetics-122090300522_1.html
• https://www.indiaretailing.com/2022/09/13/d2c-buzz/sugar-cosmetics-awarded-images-most-admired-retailer-of-the-year-for-their-aggressive-expansion/
• https://www.livemint.com/news/india/sugar-cosmetics-to-be-part-of-iim-s-case-study-kaushik-mukherjee-shark-tank-s-vineeta-singh-react-see-post-11660999674659.html

Responsibilities:

• Interpret data, analyze results using statistical techniques and provide ongoing reports
• Develop and implement databases, data collection systems, data analytics and other strategies that optimize statistical efficiency and quality
• Acquire data from primary or secondary data sources and maintain databases/data systems
• Identify, analyze, and interpret trends or patterns in complex data sets
• Filter and “clean” data by reviewing reports and performance indicators to locate and correct code problems
• Work with management to prioritize business and information needs
• Locate and define new process improvement opportunities

Skill requirements:

• Proven working experience as a Data Analyst or Business Data Analyst
• Technical expertise regarding data models, database design development, data mining and segmentation techniques
• Strong knowledge of and experience with reporting packages (Business Objects etc), databases (SQL etc), programming (XML, Javascript, or ETL frameworks)
• Knowledge of statistics and experience using statistical packages for analyzing datasets (Excel, SPSS, SAS etc)
• Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy
• Adept at queries, report writing and presenting findings
• Experience in working with PowerBI
• BS in Mathematics, Economics, Computer Science, Information Management or Statistics

Experience Required: 1-3Years