Explore the opportunity to become a Data Analyst. Your role will involve data wrangling, analysis, and visualization to provide actionable insights, particularly in retail revenue leakage capture. Strong data skills are a must, and machine learning and BI tool exposure are desirable.
Introduction:
Are you passionate about data and its potential to drive business solutions? If so, we have an exciting opportunity for you. Join our team as a Data Analyst and work on data wrangling, analysis, and visualization to uncover valuable insights, with a specific focus on retail revenue leakage capture. We are looking for individuals with a keen eye for data integrity and the ability to present results clearly.
Key Responsibilities:
As a Data Analyst, your responsibilities will include:
- Data wrangling and data preparation.
- Processing, cleansing, and verifying the integrity of data used for analysis.
- Conducting ad-hoc analysis and presenting results in a clear and concise manner.
- Developing custom data models and algorithms to address business problems, particularly in the retail revenue leakage capture domain.
- Writing queries to mine data and extract key insights.
- Building insightful dashboards to visualize data effectively.
- Providing actionable insights by analyzing large volumes of data sets through efficient queries.
Requirements:
To excel in this role, you should have:
- Strong data wrangling and data preparation skills.
- The ability to process, cleanse, and ensure data integrity for analysis.
- Proficiency in conducting ad-hoc analysis and presenting findings clearly.
- Experience in developing custom data models and algorithms to solve business problems, especially in retail revenue leakage capture.
- Proficiency in writing queries to extract valuable insights from data.
- The capability to build informative dashboards for data visualization.
- The aptitude to offer actionable insights by efficiently analyzing large data sets.
Good-to-Have Skills:
While not mandatory, the following skills would be advantageous:
- Machine Learning expertise.
- Understanding of Object-Oriented Programming (OOPs) concepts.
- Exposure to Business Intelligence (BI) Tools.
How to Apply?
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Join Us:
If you are passionate about data, enjoy solving complex problems, and have a keen interest in retail revenue leakage capture, we encourage you to apply. Join our team and be part of a dynamic environment where your data skills can make a significant impact.
