Summary:
Typical day role will have data quality judgements, data extraction, updating data using tools, periodically creating updates by running tools, given the guidelines.
Responsibilities:
Apply knowledge and experience to create processes and methods for curating data depending on the kind of Segment, Entity and its attributes
Apply business logic for comparing data feeds in a multi-partner environment, algorithmically
Always focus on improving precision levels of a given feed effectively & efficiently
Create useful and productive tools in the management of data using any scripting language
Closely interact with program managers and the engineering teams. Support them with eliminating data quality issues earlier in the lifecycle
Follow project planning and milestone driven task completion
Breakdown the tasks to assignable chunks and make sure the team meets the overall timelines
Timely reporting of status for the team as well as self, as determined by the manager
Meaningful escalation of issues
Participating in client calls & Daily scrum
Requirements:
3 to 5 years of experience data analytics. Previous MS experience would be an advantage but not mandatory.
Candidate performance will be measured on types of challenges handled, people abilities, communication