TCS has always been in the spotlight for being adept in “the next big technologies”. What we can offer you is a space to explore varied technologies and quench your techie soul.
The customer - LSEG (London Stock exchange group) is a leading global financial markets infrastructure and data group, also they are dedicated partners with a deep commitment to excellence, delivering value for their customers. They are leaders in data and analytics, risk, collateral and processing solutions, capital formation and trade execution. With them you get the level of influence and opportunity that you’d have at a startup, combined with the large-scale impact of working at a global company
LSEG is a global organization spanning 70 countries and one rooted in a culture of growth, opportunity, diversity, and innovation, this is a place where everyone can grow, develop, and fulfil your potential with purposeful careers.
Role Name: Data Analyst – Capital Markets Data Factory
Desired Experience Range: 6 years to 10 Years
Location of Requirement: Hyderabad
Tech Profile/Essential Skills
• Strong SQL skills for data query, extraction, and manipulation.
• Intermediate understanding of ETL, data lake and data warehousing concepts.
• Strong analytical skills with the ability to interpret complex datasets.
• Familiarity with statistical analysis techniques and tools like Python.
• Excellent attention to detail and problem-solving abilities.
• Effective communication skills to collaborate with cross functional teams and convey technical concepts to non-technical stakeholders.
• Proactive approach and ability to troubleshoot.
• Proactive mindset with a focus on continuous improvement and innovation
• Strong organizational skills to manage multiple tasks and priorities effectively.
• Customer-centric approach to providing support and assistance to users.
• Experience in manual or automated testing.
Detailed Responsibilities:
• Collect, clean and validate data from various sources.
• Develop and maintain reports, dashboards, and visualizations to present findings effectively.
• Communicate insights and recommendation to stakeholders in a clear and concise manner.
• Conduct ad-hoc analysis to address specific business questions or concerns.
• Driving the troubleshooting of data-related issues and queries, offering timely resolutions.
• Conduct user training sessions to promote self-service data access and utilization.
• Collaborate with cross functional teams to understand data requirements and provide analytical support.
• Data Lineage – Establish and maintain data lineage documentation to track the origin, movement, and transformation of data across systems.
• Data Quality Controls – Develop and implement data quality checks to identify anomalies, inconsistencies, and errors in datasets.
• Data Catalogue – Manage our data catalogue, including metadata, data dictionary, and data set documentation.
• Support – Provide technical support and guidance to users accessing and interpreting our
data.