Data Analyst

4 days ago

Bengaluru, Karnataka, India Styli Full time

Data Analyst

Location: Bangalore

About STYLI

STYLI is an e-commerce brand founded in 2019 by Landmark Group, emerging as one of the largest fashion and beauty platforms in the GCC and India. With a strong focus on trendy, affordable fashion and beauty products, STYLI brings over 40,000 styles to men, women, kids, and beauty enthusiasts, offering them the latest global trends delivered directly to their doorsteps.

Our vision is to be the most aspirational value fast fashion and lifestyle destination, delivering seamless service excellence. We aim to create personalized experiences, engaging customers across all touchpoints, and continually expanding our curated selection to meet their evolving need states. STYLI has quickly become a leading player in the e-commerce fashion space across the GCC - Saudi Arabia, UAE, Bahrain, and Kuwait and in India

About the Role

We are seeking a Data Analyst who is passionate about using advanced analytics to solve business and product challenges. You will work across teams to build models, forecasts, and optimization tools that drive smarter decision-making and operational efficiency.

Responsibilities


• Write complex SQL queries to analyze large datasets across product, operations, and customer domains.


• Build forecasting models for demand, supply, and operational KPIs.


• Conduct regression and statistical analyses to understand key performance drivers.


• Support optimization of pricing, promotions, and inventory with analytical models.


• Create dashboards and reports to enable self-serve analytics across teams.


• Work closely with business and product stakeholders to deliver actionable insights.

Qualifications


• 3–5 years' experience in Data Analytics or a related role.


• Strong SQL and Excel skills; experience with BI tools (Looker, Tableau, PowerBI).


• Knowledge of regression, forecasting, and optimization techniques.


• Exposure to ML concepts is a plus (e.g., scikit-learn, Python/R).


• Strong problem-solving skills and business acumen.

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