T
Require an Associate - Data Analyst in Bangalore
TestHiring · Bengaluru, Karnataka, India
IT Services and IT Consulting · 11-50 employees
18 h ago
Mid (2-5 yrs)
Full-time
India
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About the role
Collect, clean, and analyze large datasets from various platforms to inform merchandising and marketing strategies. Develop dashboards and automate reporting processes to provide actionable insights and monitor key performance indicators.
What they look for
Data Analysis
SQL
Tableau
Power BI
Google Data Studio
Python
R
Google Analytics
Adobe Analytics
Statistical Methods
A/B Testing
Data Visualization
Customer Segmentation
Reporting
Agile Methodology
Requirements
Requires a bachelor's degree in a quantitative field and 2-5 years of experience in data analysis within retail or e-commerce. Proficiency in SQL and data visualization tools is essential, along with strong communication and problem-solving skills.
Full description
- Collect, clean, and analyze large datasets from e-commerce platforms, CRM systems, POS terminals, and market research tools.
- Develop and maintain dashboards using tools such as Tableau, Power BI, or Google Data Studio to visualize key performance metrics.
- Conduct deep-dive analyses on customer segmentation, purchase behavior, and product performance to inform merchandising and marketing strategies.
- Collaborate with marketing, product, and supply chain teams to provide data-backed recommendations for campaign optimization and inventory planning.
- Monitor KPIs related to sales, conversion rates, customer retention, and campaign ROI, delivering regular reports and insights.
- Identify trends and anomalies in data to support proactive decision-making and risk mitigation.
- Automate routine reporting processes to improve efficiency and accuracy.
- Stay updated on emerging data analytics trends and tools relevant to the fashion and retail industry.
Requirements
- Bachelor’s degree in Statistics, Mathematics, Computer Science, Business Analytics, or a related field.
- 2–5 years of experience in data analysis, preferably within the fashion, retail, or e-commerce sector.
- Proficiency in SQL for data extraction and manipulation; experience with Python or R is a plus.
- Strong expertise in data visualization tools such as Tableau, Power BI, or Google Data Studio.
- Familiarity with Google Analytics, Adobe Analytics, or similar web analytics platforms.
- Solid understanding of statistical methods and A/B testing principles.
- Excellent problem-solving skills and the ability to translate complex data into clear, business-friendly insights.
- Strong communication skills to present findings to non-technical stakeholders.
- Experience working in agile environments with cross-functional teams.
- Willingness to work in a fast-paced, deadline-driven setting with a high degree of autonomy.
