Senior Analyst
Senior Analyst
Employer Active
Job Alert
You will be updated with latest job alerts via email
Share
Job Alert
You will be updated with latest job alerts via email
4years
Not Disclosed
Salary Not Disclosed
1 Vacancy
Job Description
- Partner with business stakeholders across retail operations to identify key questions and data needs.
- Design and execute complex data queries using SQL to extract and analyze data from various internal and external sources.
- Develop clear and compelling reports and interactive dashboards using Power BI to communicate data insights effectively.
- Utilize basic Python scripting to automate data manipulation and analysis tasks for increased efficiency.
- Analyze trends identify opportunities and develop datadriven recommendations to improve retail performance across areas like marketing merchandising and inventory management.
- Collaborate with crossfunctional teams (e.g. marketing IT) to ensure data accuracy and accessibility.
- Present findings and recommendations to stakeholders in a clear concise and impactful manner.
- Stay uptodate on industry trends and best practices in retail analytics.
Requirements
- Experience as a Business Analyst or similar role preferably within the retail industry.
- Strong proficiency in SQL for data querying and manipulation.
- Expertise in building and maintaining interactive reports and dashboards using Power BI.
- Working knowledge of Python for basic data manipulation and analysis tasks.
- Excellent analytical thinking and problemsolving skills.
- Strong communication and presentation skills with the ability to tailor insights for diverse audiences.
- Ability to work independently and manage multiple projects simultaneously.
- A passion for retail and a strong understanding of key retail metrics.
- Experience collaborating with crossfunctional teams.
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.
Employment Type
Full Time
