Hyderabad, Telangana, India
Information Technology
Full-Time
SUGAR Cosmetics
Overview
Role Title: Data Analyst
Role Expectations:
Build and automate robust data pipelines using Python and pandas
Manage, analyse, and visualize data leveraging AWS services (S3, Redshift, Lambda, etc.)
Create dashboards and insightful visualizations using tools like AWS QuickSight and other
visualization tools
Develop and maintain internal tools and dashboards using Python frameworks (preferably Django or Dash)
Write advanced SQL queries and create reports, alongside utilizing advanced Excel
functionalities
Design and deliver actionable business insights through analytics and visualization tools
Collaborate with business, marketing, and tech teams to support data-driven decision - making
Operate and automate tasks efficiently in Linux environments
Role Deliverables:
End-to-end automation of data pipelines for business processes
Creation of dashboards and insightful visualizations to support decision-making
Creation and maintenance of interactive dashboards and reporting solutions
Timely delivery of data analysis to solve key business challenges
Automated data workflows and tools that enhance team efficiency
Development and deployment of scalable analytics solutions in a high-growth D2C environment
Documentation and knowledge-sharing of automation best practices within the team
Reporting Relationships:
- Reporting To: BI Manager
Role Specifications:
Strong hands-on skills in Python (especially for automation; pandas required)
Advanced SQL expertise (Redshift or major RDBMS) and proficiency in Excel
Experience with AWS cloud services for data workflows
Proficiency in creating dashboards and data visualizations using tools such as AWS
QuickSight, Power BI, Tableau, etc.
Comfort working in Linux environments (bash, cron jobs, scripting, etc.)
Familiarity with Django or willingness to learn quickly
Experience building data visualizations and using tools such as AWS QuickSight, Power BI,or Tableau
Demonstrated ability to build full data pipelines from scratch, including deployment
Excellent logic, problem-solving, and communication skills
Previous experience in e-commerce, D2C, or retail analytics is a plus
Educational Qualifications:
- Graduate or Master’s degree in Statistics, Mathematics, Computer Science, Engineering or a
related field
- Post Graduation Diploma in Data Science or equivalent in Python preferred
- AWS Certified Cloud Practitioner is preferred
Experience Required:
2–5 years of hands-on experience in data analytics, automation, or a similar role
Prior experience working in high-growth, fast-paced environments such as e-commerce,D2C, or retail analytics preferred.
Tool Expected: AWS, Linux, Python including Pandas, MySQL, AWS Redshift, Django, Process automation and any BI tool.
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.
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