- Collaborate with business units and enterprise functions to conduct research and analysis on less complex topics.
- Apply functional expertise to assist in the development of nonmodel quantitative tools that support strategic decisionmaking.
- Analyze data to identify trends and insights utilizing statistical techniques and document the process.
- Present actionable recommendations to enhance revenue minimize expenses and optimize operational efficiency quality and compliance.
- Gather and define business requirements translating them into datadriven insights and recommendations to improve operational efficiency.
- Participate in the design and implementation of database structures analytics software and storage and processing solutions as part of group technology initiatives.
- Develop custom reports and conduct ad hoc analyses to provide insights and mentor less experienced staff.
- Ensure compliance with relevant data governance and risk management policies and regulations.
- Contribute to companywide initiatives aimed at achieving strategic goals such as risk management and capital objectives.
- Collaborate with senior consultants and other business and technology teams to achieve project objectives.
Requirements
- Strong SQL experience along with proficiency in Advanced Excel.
- Expertise in BI tools such as Tableau or Power BI for data visualization.
- Solid numerical aptitude and handson dashboarding and business analytics experience.
- Ability to quickly adapt and work independently with minimal guidance while collaborating effectively with CXOlevel stakeholders.
- Strong grasp of statistical analysis techniques.
- Exceptional analytical problemsolving and troubleshooting skills.
- Preferably experienced in the ecommerce or retail domain
Benefits
- Competitive salary and performancebased bonuses.
- Comprehensive insurance plans.
- Collaborative and supportive work environment.
- Chance to learn and grow with a talented team.
- A positive and fun work environment.
Proven experience as a Data Scientist or similar role. Strong knowledge of data analysis, statistics, and machine learning. Proficiency in data science tools and programming languages such as Python, R, Azure Data-bricks, SQL, etc. Familiarity with: Supervised and unsupervised learning techniques Deep learning and reinforcement learning Evaluation metrics, feature engineering, model selection and validation, ensemble methods, and explainable AI Category/Product Analytics,Store Analytics,Marketing and Promotion Analytics,Customer Analytics Expertise in visualization tools such as Power BI, Spot fire, or similar. Excellent storytelling skills to explain complex data to non-technical/business teams Experience in analytics, preferably within Retail, CPG, or E-commerce domains. Excellent communication and collaboration skills with the ability to work effectively in a team environment.