Junior Data Analyst

indē wild; Mumbai; Hybrid; INR 600,000 - 900,000; Full time

Job summary

indē wild in Mumbai seeks a data-driven analyst to transform complex datasets into actionable insights for growth and digital strategy. You will create dashboards to monitor e-commerce and marketing KPIs, and deliver analyses to guide decision-making.

The ideal candidate has 1–2 years of analytics experience, strong SQL and Excel skills, and hands-on BI tool proficiency (Tableau/PowerBI/Looker). Python/R is a plus.

Qualifications

• 1–2 years of experience in data analytics, BI, or related field.
• Strong SQL and Advanced Excel skills; BI platforms like Tableau/PowerBI/Looker experience.
• Data storytelling ability and effective communication with non-technical stakeholders.

Responsibilities

• Design, build, and maintain interactive dashboards to track KPIs across e-commerce and marketing.
• Fulfill ad-hoc data requests and perform deep-dive analyses to answer business questions.
• Ensure data accuracy and consistency across reporting platforms through validation checks.

Skills

Analytical thinking

Data storytelling

Communication

Problem-solving

Attention to detail

Education

Bachelor's degree in Statistics, Mathematics, Economics, Computer Science

Tools

SQL

Excel

Tableau

PowerBI

Looker

Python

R

Job description

Join our dynamic and innovative startup skincare brand that is committed to redefining beauty standards with clean, effective, and sustainable products. Founded by beauty influencer Diipa Büller-Khosla, the brand emphasizes authenticity, and transparency, offering vegan and cruelty-free products that cater to diverse skin types while celebrating cultural heritage. We believe in empowering our customers with science-backed skincare solutions, and we're looking for a data-driven problem solver with a passion for uncovering insights to help us take our brand to the next level.

Brand: https://india.indewild.com/

About the Role:

The primary objective of this role is to drive data-informed decision-making by analyzing complex datasets, building intuitive dashboards, and uncovering actionable business insights to support our growth and digital strategies.

Key Responsibilities:

1. Data Analysis & Reporting

• Dashboard Development: Design, build, and maintain interactive dashboards and reports using BI tools to track KPIs across e-commerce and marketing.
• Ad-Hoc Analysis: Fulfill complex data requests and perform deep-dive analyses to answer specific business questions and identify trends.
• Data Storytelling: Translate raw data into clear, actionable insights and present findings to non-technical stakeholders to guide strategic initiatives.

2. Data Quality & Business Support

• Metric Monitoring: Continuously monitor e-commerce and marketing performance metrics, proactively identifying anomalies or opportunities for optimization.
• Cross-functional Collaboration: Partner closely with the digital, marketing, and procurement teams to align data strategies with overarching business goals.
• Quality Assurance: Ensure data accuracy and consistency across all reporting platforms by conducting regular data validation checks.

Ideal Candidate Profile:

• Experience: 1-2 years in data analytics, business intelligence, or a related field, ideally within the e-commerce, beauty, or lifestyle sectors.
• Technical Expertise: Solid understanding of data analysis techniques, statistical concepts, and data visualization best practices.
• Education: Bachelor's degree in Statistics, Mathematics, Economics, Computer Science, or a related quantitative field.
• Skills: Strong analytical and problem-solving skills, excellent communication, and high attention to detail.
• Tools: Proficiency in SQL and Advanced Excel; strong experience with BI platforms (e.g., Tableau, PowerBI, Looker); basic knowledge of Python or R is a plus.

Why Join Us?

• Opportunity to shape the data strategy of a high-potential skincare startup.
• Work in a creative and collaborative environment with a passionate team.
• Access to the latest skincare products and industry insights.
• Working days: Monday to Friday
• Working from office: 4 days in office, 1 day WFH