Lead Data Analyst

Lead Data Analyst

Role Profile

· Experience: 8–10 years

· Location: United States, Eastern Time Zone

Primary Technical Skills

· Advanced SQL for data extraction, transformation, validation, and analysis.

· Data analysis, trend identification, and generation of actionable business insights.

· QlikView dashboard development, data visualization, data modeling, scripting, and performance optimization.

· Requirements gathering and business analysis.

· KPI development, metric definition, and reporting-framework design.

· Experience working with large-scale enterprise datasets.

· Data-quality analysis and data reconciliation.

· Strong understanding of data warehousing and reporting concepts.

· Advanced Excel skills for analytical reporting and ad hoc analysis.

· Effective use of AI tools to support day-to-day analytical activities.

Preferred Technical Skills

· Qlik Sense.

· Python for data analysis and automation.

· ETL and data-integration concepts.

· AWS analytics services.

· Insurance data and reporting experience.

· Agile and Scrum methodologies.

· Statistical analysis and forecasting techniques.

Key Responsibilities

· Partner with business stakeholders to define analytical, reporting, and dashboard requirements.

· Analyse large, complex datasets to identify trends, patterns, risks, and business opportunities.

· Design and develop interactive QlikView dashboards, scorecards, and reports that support strategic and operational decision-making.

· Support high-priority initiatives, including dashboard redesign, modernization, and advanced analytical work.

· Translate business questions into actionable, data-driven insights and recommendations.

· Define, monitor, and improve KPIs and business metrics.

· Perform root-cause analysis, data validation, and reconciliation to ensure reporting accuracy and consistency.

· Prepare ad hoc analyses and executive-level presentations to support business decisions.

· Collaborate with business, technology, and offshore teams to deliver analytical solutions on schedule.

· Participate in requirements 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, metric definitions, data lineage, and reporting solutions.

Professional and Domain Competencies

· Strong written and verbal communication skills suitable for an onsite, client-facing role.

· Insurance-domain knowledge, including policy, claims, billing, and operational reporting concepts.

· Excellent stakeholder-management and relationship-building skills.

· Ability to gather, clarify, and document business requirements from multiple stakeholders.

· Strong analytical thinking and problem-solving abilities.

· Ability to present compelling data stories and communicate insights to business and leadership teams.

· Experience with effort estimation, prioritization, and delivery planning.

· Ability to coordinate with offshore teams and review deliverables for quality and completeness.

· Customer-centric mindset with the ability to recommend data-driven solutions.

· Self-motivated, proactive, and able to work independently in a fast-paced environment.