Are you passionate about data and its potential to drive business solutions? If so, they have an exciting opportunity for you. Join the 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. They are looking for individuals with a keen eye for data integrity and the ability to present results clearly.
Eligibility:
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.
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.
