Data Analyst

DATAECONOMY Inc; Charlotte (NC); On-site; USD 75,000 - 110,000; Full time

Job summary

DATAECONOMY Inc. in Charlotte, NC, is hiring a Data Analyst to turn underwriting, claims, actuarial, and finance questions into structured analyses and repeatable reports.

You will build dashboards in Power BI and Tableau, and perform exploratory analyses to surface trends and opportunities. The role requires 4–7+ years of data analysis/BI experience, strong SQL, data modeling understanding, and ability to communicate findings to business stakeholders.

Qualifications

• 4–7+ years of experience in data analysis, BI, or reporting.
• Strong SQL skills with complex joins and window functions.
• Experience building dashboards in Power BI and Tableau.
• Understanding of dimensional data modeling from a consumer perspective.
• Ability to translate business questions into structured analysis.
• Excellent written and verbal communication with stakeholders.

Responsibilities

• Turn underwriting, claims, actuarial, and finance questions into analyses and reports.
• Build and maintain dashboards and scorecards for KPIs like loss ratio and premium growth.
• Perform exploratory analyses to surface trends and fraud indicators.
• Document assumptions and methodologies for transparency and auditability.
• Partner with actuarial and underwriting teams to validate data and interpret results.

Skills

SQL

Power BI

Tableau

Data modeling

Stakeholder communication

Python (pandas)

Tools

Databricks

Snowflake

BigQuery

Azure

Job description

Charlotte, United States | Posted on 06/04/2026

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.
• 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
  
• Ability to translate business questions into structured analysis
  
• Strong stakeholder communication and storytelling
  
• 4–7+ years in data analysis / BI / reporting