Deskripsi Pekerjaan
Join DFI Retail Group as a Data Analyst and transform raw business data into actionable insights that drive strategic decision-making. We're seeking a detail-oriented professional to create compelling reports and interactive dashboards that illuminate opportunities across our retail operations. Collaborate closely with stakeholders in marketing, sales, and supply chain to translate complex data into clear visual narratives. This role offers the chance to work with cutting-edge analytics tools while contributing to a company that values data-driven innovation in Southeast Asia's competitive retail landscape.
As a key member of our analytics team, you'll help uncover hidden patterns in customer behavior, optimize inventory management, and identify growth opportunities. Your work will directly impact business strategy and operational efficiency. We offer a dynamic environment where your analytical skills will be challenged and nurtured, with opportunities for professional growth and exposure to diverse retail datasets.
Tanggung Jawab
- Analyze complex datasets to identify trends, patterns, and actionable business insights
- Design and maintain interactive dashboards using Tableau/Power BI for key stakeholders
- Partner with cross-functional teams to understand business requirements and deliver tailored analytics solutions
- Develop automated reporting pipelines to ensure timely delivery of performance metrics
- Conduct A/B tests and statistical analysis to support data-driven decision making
- Present findings to leadership through clear visualizations and executive summaries
- Monitor data quality and implement data governance best practices
Kualifikasi
- Bachelor's degree in Data Science, Statistics, Computer Science, or related field
- 3+ years of experience in data analysis or business intelligence role
- Proficiency in SQL and database management (MySQL/PostgreSQL preferred)
- Advanced skills in data visualization tools (Tableau, Power BI, or Looker)
- Strong knowledge of statistical analysis and hypothesis testing
- Experience with Python (Pandas, NumPy) or R for data manipulation
- Excellent communication skills to translate technical findings for non-technical audiences
- Proven track record of delivering analytics projects in retail or e-commerce