Senior Business Analyst
Senior Business Analyst
Posted on :
21-11-2024
Employer Active
1 Vacancy
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Job Description
- Analyze and interpret data to identify trends patterns and insights that inform business decisions.
- Collaborate with the Operations team to assess the impact and efficiency of new products and business processes.
- Build and maintain detailed models and dashboards for reporting at city regional and global levels.
- Develop analytical frameworks to support the company s expansion into new markets and products.
- Conduct A/B testing to evaluate the effectiveness of new products features and business strategies.
- Identify operational weaknesses and recommend improvements or innovative processes to enhance team efficiency.
- Ensure continuous optimization of support team processes to maximize operational effectiveness.
- Stay updated with industry trends and adapt to changing business needs by learning new tools and methodologies.
Requirements
- Analysis of both highlevel and granular (category and/or product specific) business trends
- Experience in data processing data analysis and automation.
- Strong proficiency in Excel SQL and data visualization tools.
- Experience in Python.
- Experience with A/B testing methodologies and the ability to design execute and interpret tests.
- Exposure to using Hive or Presto for data processing.
- Ability to analyze complex datasets and provide actionable insights.
- Strong communication skills and experience in documenting and presenting data findings.
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
Key Skills
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