Lead Data Analyst - Data Operations

Job Description

About the Role: Grade Level (for internal use): 08 The Role: Lead Data Analyst - Data Operations The Impact: This role is essential for the Corporate Profiles team as it ensures the accuracy and reliability of corporate data, which is crucial for informed decision-making. By addressing queries and building subject matter expertise, the Lead Data Analyst enhances data quality, directly impacting client satisfaction and market competitiveness. This position improves internal processes while delivering high-quality data solutions that clients can trust. Whats in it for you: Opportunity to develop subject matter expertise in corporate profiles and industry classifications. Exposure to cross-functional teams and collaboration with data management professionals. A chance to contribute to innovative data collection methods and product enhancements. Growth potential through mentorship opportunities and professional development. Responsibilities: Act as the SME, addressing queries around collection methodologies from internal teams and clients. Build subject matter expertise in various workflows and processes within the dataset. Manage effective stakeholder relationships with Data Management and Quality teams. Understand the Corporate Profiles workflow and data structures to ensure seamless data flow across products and provide input and ideas for new collection methods and product enhancements. Extract, collect, standardize, and validate profiles and industry classification data for public and private companies from various sources per guidelines. Mentor and act as a QA for production researchers. Convert raw complex data into easy-to-understand information through data visualization. Analyse and uncover inconsistencies in large datasets (both in-house and from third-party vendors) using SQL knowledge and propose solutions to address them through automated/manual audits What Were Looking For: Post-Graduation: MBA/M. Com/PGDM Ability to multi-task and work in a team environment while following flexible schedules to meet deadlines. Capable of taking new initiatives and demonstrating resourcefulness and strong attention to detail and a persistent approach to work. Good technical skills, including SQL, Advanced Excel, and reporting tools. Ability to interact with various levels and handle issues in a mature and professional manner.