Apr 2021 – Present · 4 yrs 11 mos · New Delhi, Delhi, India · On-site

• Improve Workforce Efficiency - Using various techniques to empower the workforce to work more efficiently is one of the key job.
• Eliminating time-consuming administrative tasks - As a Data Analyst it is very important to understand which jobs take more time and how sales technology can be used more efficiently to automate them.
• Enabling accurate sales planning and predictions - As sales forecast plays a very important role in inventory management, it is imperial to understand and use predictive science models to automate it. • •Increasing job satisfaction - As the work gets more automated and technologically more efficient, which in turn increases the job satisfaction as it takes less time and effort to do the same job.
• Exploring and implementing new ways to automate systems - As a Data Analyst it is important to introduce new systems and softwares so that there is a more effective approach to the work which is being done.
• Designing and testing automation equipment and processes - Designing and testing plays a very important role as the data which is outputted depends on the parameters which are put in place while designing/testing the automated systems/softwares.
• Programming new automated components - Its is a niche element of the process to program the new automated components or softwares for a more efficient and effective output of data.
• Identifying quality issues and writing reports - It is a key element to identify and fix quality/performance issues with softwares which are employed for automation or automating systems. Writing reports to the team responsible, is also an important aspect of the process.
• Eliminating defects and errors with product and software development - Defects and Errors need to be eliminated (eg: rewriting of data) during development stage of softwares/systems, as the output data is as good as the inputs provided.