About Cureskin:
Cureskin is a fast-growing D2C brand at the intersection of beauty, technology, and healthcare.
We leverage AI-driven skin diagnosis and personalized dermatological care to empower users across India.
We’re looking for a passionate Data Analyst who can turn complex data into actionable insights, helping us optimize user journeys, drive conversions, and accelerate growth.
Role Overview:
As a Data Analyst at Cureskin, you’ll be responsible for analyzing end-to-end business data — from order flows to user engagement — to derive insights that power our strategic decisions.
You’ll collaborate with marketing, operations, and product teams to build scalable dashboards, automate data processes, and support data-backed growth initiatives.
Key Responsibilities:
- Develop and manage data pipelines integrating SQL/MongoDB, and APIs for real-time business reporting.
- Design and maintain end-to-end data tracking systems across the D2C order journey, from order placement to refund completion.
- Fast complex DB query building abilities
- Build dashboards and MIS reports for leadership and cross-functional teams to monitor performance metrics and KPIs.
- Analyze customer behavior, cart abandonment trends, and marketing channel performance to recommend business optimizations.
- Partner with product and marketing teams to measure campaign effectiveness , offer utilization, and conversion rates.
- Automate manual reporting processes through scripting (Python) to improve efficiency and reduce human intervention.
- Maintain data quality and integrity , ensuring consistency across databases and visualization platforms.
- Support forecasting, growth modeling, and performance tracking for new initiatives.
- Bash script, power use of Linux command line tools like grep, cut is a plus.
Required Skills & Qualifications:
- 3–5 years of experience as a Business/Data Analyst, preferably in a D2C or eCommerce environment.
- Strong proficiency in SQL or MongoDB for data extraction, transformation, and analysis.
- Hands-on experience with data visualization tools such as Power BI, Tableau, Looker Studio, Kibana, or Plotly Dash.
- Proficiency in Python for automation, data cleaning, and dashboard integration.
- Strong analytical and problem-solving skills, with a data-first decision-making mindset.
- Excellent communication skills for translating data insights into business actions.
Preferred Qualifications:
- Experience in setting up real-time dashboards and automated alerts for business monitoring.
- Understanding of predictive analytics and machine learning models for growth forecasting is a plus.
Location: Bengaluru (On-site)
Experience: 3–5 years
Employment Type: Full-time