DATAECONOMY is one of the fastest-growing Data & Analytics company with global presence. We are well-differentiated and are known for our Thought leadership, out-of-the-box products, cutting-edge solutions, accelerators, innovative use cases, and cost-effective service offerings. We offer products and solutions in Cloud, Data Engineering, Data Governance, AI/ML, DevOps and Blockchain to large corporates across the globe. Strategic Partners with AWS, Collibra, cloudera, neo4j, DataRobot, Global IDs, tableau, MuleSoft and Talend. Data Analyst Charlotte, NC Full-time Insurance Domain Analytics & Reporting • Turn business questions from underwriting, claims, actuarial, and finance teams into well-structured analyses and repeatable reports. • Build and maintain dashboards and scorecards for KPIs such as loss ratio, combined ratio, premium growth, retention/lapse, and claims cycle time. • Perform exploratory analysis to surface trends, anomalies, and opportunities (e.g., emerging loss patterns, fraud indicators, leakage). • Document assumptions, definitions, and methodology so results are transparent and auditable. Insurance Domain Analytics • Analyze policy, premium, claims, and billing data to support pricing, reserving, and portfolio management discussions. • Support loss-ratio, frequency/severity, and retention/churn analyses for P&C and/or L&A lines of business. • Partner with actuarial and underwriting teams to validate data and interpret results in business context. Data Preparation & SQL • Write and optimize SQL to extract, join, and aggregate data from the lakehouse / data warehouse. • Profile, clean, and validate datasets; flag and help resolve data quality issues with engineering. • Build reusable, well-documented queries, views, and semantic-layer definitions. Visualization & Stakeholder Enablement • Design clear, decision-oriented visualizations in Power BI / Tableau (or equivalent). • Translate analysis into concise narratives and recommendations for non-technical business stakeholders. • Enable self-service by documenting metrics and curating trusted data sources. Technology Stack • Strong SQL across cloud data warehouse / lakehouse environments (Databricks SQL, Snowflake, BigQuery, or similar). • BI/visualization tools Power BI and/or Tableau. • Spreadsheet modeling (Excel) for ad-hoc analysis. • Working knowledge of Python (pandas) for data wrangling is a plus. Required Qualifications • 4–7+ years of experience in data analysis, business intelligence, or reporting. • Strong, demonstrable SQL skills (complex joins, window functions, aggregations, query tuning). • Proven experience building dashboards and reports in Power BI and/or Tableau. • Solid understanding of data modeling concepts (dimensional / star schema) from a consumer's perspective. • Ability to translate ambiguous business questions into structured analysis and clear deliverables. • Strong written and verbal communication with business stakeholders. Preferred Skills • Insurance domain knowledge P&C and/or Life & Annuities; familiarity with premium, claims, and loss-ratio concepts. • Experience with cloud data platforms (Databricks, Snowflake, Azure/AWS/GCP). • Python (pandas) or R for analysis and automation. • Statistical analysis fundamentals and A/B or cohort analysis experience. • Exposure to data governance, metadata, and trusted-source / semantic-layer practices. • Awareness of PII/PHI handling and regulated-data sensitivity. Requirements • Strong SQL complex joins, window functions, aggregation, query tuning • Power BI and/or Tableau dashboard and report development • Data modeling literacy dimensional / star schema (consumer perspective) • Ability to translate business questions into structured analysis • Strong stakeholder communication and storytelling • 4–7+ years in data analysis / BI / reporting Benefits Standard full-time benefits.