S&P Global Market Intelligence

The Role: Lead Data Analyst

The Team: People Data team is responsible to collect data about the Officers and Directors of companies i.e. People associated with the companies we cover across the globe. Our team is a mix of Candidates from different parts of India, and we are operating from 2 locations to name Ahmedabad and Hyderabad.

The Impact: In this role the person would be working to support our team’s efforts to automate our processes in partnership with Data Transformation team. The outcome of efforts would have an impact on our team’s data delivery and accuracy while optimizing the cost and as a result the person will be generating huge value for the clients and the company.

What’s in it for you:

The current opening is with one of the company’s Content Team that works on to collect data from company filed documents & websites which is then published on our Product.

Currently, data collection process is manual to a larger extent which we want to automate using Python models and hence this role will offer you to work on different tools for data extraction and will also require cross collaboration between content & Data Transformation team. The role will also involve working on the existing queue of automation projects.

This position will provide an opportunity to work on different tools for extraction and ingestion which will enhance your experience and understanding of the tool and techniques along with practical exposure as you will also be coordinating with experts who will work on the tools

Responsibilities:

Working as a liaison between Content team and the Data Transformation team to develop models for extraction and ingestion of Data from different sources like company filed documents and websites along with creating RPA Bots.

This job will be a mix of getting the knowledge of data collection and creating models for data extraction-ingestion

Creating & implementing a variety of efficient, cost-effective & automated data-extraction and data-ingestion solutions, based on the department’s needs

Collaborating with relevant stakeholders and internal teams to research, plan, design and implement refined and improvised data collection processes

Troubleshooting the automated content collection challenges faced by the team and providing relevant solutions requiring minimal manual intervention

Reviewing the models prepared by technical teams and evaluating the same based on the acceptance criteria.