Data Analyst
Job in
Charlotte, Mecklenburg County, North Carolina, 28245, USA
Listed on 2026-06-26
Listing for:
DATAECONOMY Inc
Full Time
position Listed on 2026-06-26
Job specializations:
-
IT/Tech
Data Analyst, Business Systems/ Tech Analyst, Data Warehousing, Data Engineering
Job Description & How to Apply Below
Charlotte, United States | Posted on 06/04/2026
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.
- 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.
- 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.
- 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.
- Strong SQL across cloud data warehouse / lakehouse environments (Databricks SQL, Snowflake, Big Query, 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.
- 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.
- 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.
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