E-Commerce Data Analyst

About Klub

Klub was founded to make capital accessible for founders (we know how taxing raising funds can get). As India’s largest Revenue Based Financing platform, we offer non-dilutive capital up to ₹30 crores for consumer brands across 35+ sectors (F&B, Fashion, Health & Wellness, Electronics, Cloud Kitchens & more) We have facilitated over 1000 investments in leading brands of India including BluSmart, Third Wave Coffee Roasters, SMOOR, Tagz Foods, Hero Electric, Bewakoof & more!

Klub is now embarking on a new journey by venturing into the world of cross-border commerce through our newly established E-Commerce Vertical. To drive this initiative forward, we are actively seeking dynamic individuals to join our dedicated Cross-Border E-Commerce Team in Ahmedabad. If you are passionate about e-commerce, global trade, and creating exceptional customer experiences, this is the perfect opportunity for you to be part of a pioneering team that will shape the future of Klub.

About The Role

As a Data Analyst for our eCommerce business, you will play a pivotal role in driving data-driven decision-making processes. You will be responsible for collecting, analysing, and interpreting data to provide actionable insights that support various departments, from marketing and sales to operations and partner/seller experience. Your work will contribute to optimising our eCommerce operations, enhancing seller experiences, and ultimately, driving business growth.

Responsibilities

• Data Collection and Integration:
• Gather data from various sources, including internal databases, third-party tools, and eCommerce platforms.
• Ensure data accuracy, consistency, and integrity by implementing data quality checks.
• Data Analysis:
• Analyse large datasets to identify trends, patterns, and opportunities.
• Use statistical and analytical techniques to extract meaningful insights.
• Develop and maintain data dashboards and reports for key stakeholders.
• Customer Behaviour Analysis:
• Analyse customer data to understand shopping behaviour, preferences, and segmentation.
• Identify opportunities to improve the customer journey and increase conversion rates.
  
• Sales and Inventory Analysis:
• Track product sales, inventory levels, and demand forecasts.
• Provide recommendations for inventory management and product pricing strategies.
• Marketing Effectiveness:
• Evaluate the performance of marketing campaigns, including PPC, email, and social media.
• Assess customer acquisition costs and ROI for marketing efforts.
• Competitive Analysis:
• Monitor competitor activities, pricing strategies, and product offerings.
• Provide insights to inform competitive positioning and market strategy.
• Operational Efficiency:
• Identify operational inefficiencies and bottlenecks in the eCommerce supply chain.
• Collaborate with operations teams to improve processes and reduce costs.
• Data Visualization:
• Create clear and impactful data visualisations to communicate findings effectively.
• Use tools like Tableau, Power BI, or Excel for data presentation.
• Reporting and Communication:
• Regularly communicate findings and insights to cross-functional teams and leadership.
• Translate technical insights into actionable recommendations for non-technical stakeholders.

Required Qualifications

• Bachelors degree in a relevant field (e.g., Data Science, Statistics, Computer Science).
• Proven experience as a data analyst, preferably in an eCommerce or retail environment.
• Proficiency in data analysis tools such as SQL, Python, R, or similar.
• Strong knowledge of data visualisation tools (e.g Metabase / Tableau / Power BI / MS Excel).
• Familiarity with eCommerce platforms and analytics tools (e.g., Google Analytics, Adobe Analytics).
• Excellent analytical, problem-solving, and critical-thinking skills.
• Strong communication and presentation skills
• Detail-oriented with a commitment to data accuracy and quality.

Preferred Skills

• Experience with machine learning or predictive analytics.
• Knowledge of data warehousing and ETL processes.
• Understanding of eCommerce KPIs and industry trends.

Skills: sales analysis,adobe analytics,data warehousing,google sheets,ecommerce platforms,data collection,data integration,customer behavior analysis,machine learning,ecommerce kpis,reporting,excel,google analytics,r,predictive analytics,data visualization tools,sql,marketing effectiveness,inventory analysis,data analysis,industry trends,etl processes,statistical analysis,data visualization,competitive analysis,operational efficiency,communication,python