XTN-83D6214 | DATA SCIENTIST

As a Data Analyst / Data Scientist at Deco Marché, you will play a critical role in transforming complex data into actionable insights that drive our business strategies. Your work will directly influence decisions in Wholesale, Ecommerce, and Finance departments, enhancing operational efficiency and profitability.

Joining Deco Marché offers the unique opportunity to work at the intersection of technology, analytics, and home décor. You will gain exposure to advanced data analysis techniques and tools while contributing to high-impact projects in a dynamic, supportive environment. We offer competitive salaries, comprehensive benefits, and opportunities for professional growth in a thriving, innovative company.

• Analyze wholesale, ecommerce, and financial data to uncover trends, risks, and opportunities, facilitating strategic decision-making.
• Perform advanced quantitative analyses including forecasting, cohort analysis, and performance modeling to support various business functions.
• Evaluate product, category, and channel performance to aid in refining sales, merchandising, and ecommerce strategies.
• Develop, maintain, and enhance automated reporting tools and dashboards using Excel, SQL, and BI tools, ensuring data accessibility and visualization.
• Build robust data models and define metrics to improve the accuracy and consistency of business reporting.
• Produce both ad hoc analyses and recurring reports to keep leadership and cross-functional teams informed on key metrics and findings.
• Manage data cleaning, validation, and transformation processes to ensure high-quality datasets for analysis.
• Ensure all data reporting sources uphold a standard of accuracy and consistency, identifying and rectifying any discrepancies or inefficiencies.
• Work closely with various departments to translate business needs into practical data-driven solutions, supporting financial planning and performance tracking.
• Communicate complex analytical results clearly, making them understandable for both technical and non-technical stakeholders.

• Proven expertise in data analysis and statistical modeling with a strong analytical mindset.
• Proficient in SQL, Excel, and BI tools such as Tableau or Power BI for data manipulation and visualization.
• Experience in managing large datasets and performing complex quantitative analysis.
• Ability to develop clear and effective reports and data visualizations tailored to the needs of diverse audiences.
• Strong problem-solving skills and precision in handling and interpreting data.
• Excellent communication skills with the ability to present data and insights in a clear, concise manner.

• Knowledge of Python or R for data analysis is highly desirable.
• Experience in ecommerce or retail analytics would be advantageous.
• Familiarity with machine learning techniques and their application in business analytics.
• Project management skills or experience with cross-functional team collaboration.
• Capacity to thrive in a fast-paced environment and adapt to evolving business needs.