Data Analyst

6 months ago

Kuala Lumpur, Malaysia Valiram Full time

As a Data Analyst, you will play a crucial role in optimizing the merchandising strategy of the brand through data-driven insights. You will be responsible for collecting, analyzing, and interpreting data related to product performance, sales trends, customer behavior, and market dynamics. By leveraging your analytical skills and business acumen, you will provide actionable recommendations to enhance product assortment, pricing strategies, and inventory management.

**Key Responsibilities**

Data Collection and Management:

- Gather and organize data from various sources, including sales reports, inventory databases, market research, and customer feedback.
- Ensure data accuracy, completeness, and consistency through regular validation and cleansing processes.

Analysis and Reporting:

- Analyze merchandising data to identify trends, patterns, and opportunities for improvement.
- Generate regular reports and dashboards to track key performance indicators (KPIs) such as sales, margin, inventory turnover, and product velocity.
- Provide insights into product performance by category, SKU, region, and customer segment.

Forecasting and Demand Planning:

- Develop statistical models and forecasting techniques to predict product demand and sales trends.
- Collaborate with the demand planning team to optimize inventory levels and minimize stockouts or overstock situations.

Merchandising Strategy Optimization:

- Work closely with merchandising managers to develop and refine product assortment strategies based on market trends and consumer preferences.
- Conduct competitive analysis to benchmark our product offerings against key competitors and identify areas for differentiation.

Pricing Analysis and Strategy:

- Analyze pricing data to determine optimal price points for different products, considering factors such as cost, competition, and customer willingness to pay.
- Recommend pricing adjustments and promotional strategies to maximize revenue and profitability.

Cross-Functional Collaboration:

- Collaborate with cross-functional teams, including marketing, sales, finance, and supply chain, to align merchandising strategies with overall business objectives.
- Communicate findings and recommendations effectively to stakeholders at all levels of the organization.

**Key Requirements**
- Bachelor’s degree in business, Economics, Statistics, Mathematics, or a related field. Advanced degree preferred.
- Proven experience in data analysis, preferably in a retail or merchandising environment.
- Proficiency in data manipulation and analysis tools such as SQL, Excel, Python, R, or Tableau.
- Strong analytical and problem-solving skills, with the ability to translate data into actionable insights.
- Excellent communication and presentation skills, with the ability to convey complex information in a clear and concise manner.
- Detail-oriented mindset with a passion for accuracy and quality.
- Ability to work independently and collaboratively in a fast-paced, dynamic environment.

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