Job Description

About the Role: A analyst is responsible for gathering, organizing, and analyzing data from various sources. They work closely with different teams to understand their data needs and develop efficient data collection processes. The analyst must have strong technical skills in data harvesting, data science, and automation. They should also be proficient in programming languages like Python and have experience with data structures and multi-threading. The analyst will collaborate with other developers, participate in requirement gathering, and contribute to project planning activities. They should be able to work independently, monitor project status, and identify any issues that may impact the project's goals. The analyst must continuously learn and expand their knowledge in their area of specialization. Overall, the role requires a strong aptitude for problem-solving, attention to detail, and the ability to work in a dynamic environment. The Team: The Sourcing Automation Team specializes in automating content extraction from various sources including web, APIs, SFTPs, and the cloud. We then transform and process this content to ensure its value and deliverability to end users through end-to-end automation. Our team has a strong expertise in Robotic Process Automation (RPA) and utilizes technologies such as Python, AWS, Azure, SharePoint, APIs, Kafka, data lakes, and advanced Excel functionalities to enhance our automation solutions. Responsibilities and Impact: Work as part of an RPA development team to design, estimate, develop and implement software solutions that satisfy the business requirements Strong technical skill for data harvesting for multiple regions and multilingual websites with ease of maintenance Strong programming skills in Python Automation preferably in Windows environment Exposure in OOPS, Data Structures, Multi- threading, and Selenium tool Working knowledge of Configuration Management systems like GIT and build tools Should be able to work on a different technology or adaptive enough to learn new technologies as per project need What Were Looking For: Basic Required Qualifications: BE degree in Computer Science, related field, and 1.5+ years of experience in programming skills Expertise with Python, Data harvesting, Data science, Data capture, NLP, Automation, JavaScript, Typescript, Html, JSON, OOPS, Data Structures, Multi- threading Experience with relational or SQL databases Experience with RESTful Web Services Additional Preferred Qualifications: Experience with C#, .NET Core, design patterns Capable of performing tasks in a dynamic/changing environment