Lead Data Analyst

Partner with business stakeholders to understand analytical reporting and dashboard requirements Analyze large and complex datasets to identify trends patterns risks and business opportunities Design and develop interactive QlikView dashboards scorecards and reports that support strategic and operational decisionmaking Support highpriority initiatives including Redesign Dashboard Modernization and analytical work Translate business questions into actionable datadriven insights and recommendations Define monitor and enhance KPIs and business metrics Perform root cause analysis and data validation to ensure reporting accuracy and consistency Create ad hoc analysis and executivelevel presentations to support business decisions Collaborate with business technology and offshore teams to deliver analytical solutions within timelines Participate in requirement workshops solution design discussions effort estimation and prioritization activities Identify opportunities for reporting automation process improvement and enhanced data visualization Maintain documentation for business rules metrics definitions data lineage and reporting solutions

Technical Skills Primary Advanced SQL for data extraction transformation validation and analysis Data Analysis Trend Analysis and Business Insights Generation Strong experience in QlikView Dashboard Development and Data Visualization QlikView Data Modeling Scripting and Dashboard Optimization Requirements Gathering and Business Analysis KPI Development Metrics Definition and Reporting Frameworks Experience working with largescale enterprise datasets Data Quality Analysis and Data Reconciliation Strong understanding of Data Warehousing and Reporting Concepts Proficiency in Excel for analytical reporting and ad hoc analysis Using AI effectively for daytoday activities Technical Skills Secondary Nice to have NOT MANDATORY Qlik Sense Python for Data Analysis and Automation ETL and Data Integration Concepts AWS Analytics Services Insurance Data and Reporting Experience AgileScrum Methodology Statistical Analysis and Forecasting Techniques, Strong written and verbal communication skills as this is an onsite clientfacing role Insurance domain knowledge with the ability to understand policy claims billing and operational reporting concepts Excellent stakeholder management and relationshipbuilding skills Ability to gather clarify and document business requirements from multiple stakeholders Strong analytical thinking and problemsolving abilities Ability to tell a compelling story with data and present insights to business and leadership teams Experience in work effort estimation prioritization and delivery planning Ability to coordinate with offshore teams and review deliverables for quality and completeness Strong customercentric mindset with the ability to recommend datadriven solutions Selfmotivated proactive and capable of working independently in a fastpaced environment Skills: Mandatory Skills : MS Excel, QlikView Good to Have Skills : Python

• $108,000-162,000 per year Sr Analyst Model Risk Management - KM07AE Analyst Model Risk Management - KM08AE We’re determined to make a difference and are proud to be an insurance company that goes well b…

• 2 months ago +

LTM is an AI-centric global technology services company and the Business Creativity partner to the world’s largest and most disruptive enterprises. We bring human insights and intelligent systems together to help clients create greater value at the intersection of technology and domain expertise. Our capabilities span integrated operations, transformation, and business AI - enabling new ways of working, new productivity paradigms, and new roads to value. Together with over 87,000 employees across 40 countries and our global network of partners, LTM - a Larsen & Toubro company - owns business outcomes for our clients, helping them not just outperform the market, but to Outcreate it. Please also note that neither LTM nor any of its authorized recruitment agencies/partners charge any candidate registration fee or any other fees from talent (candidates) towards appearing for an interview or securing employment/internship. Candidates shall be solely responsible for verifying the