Enter a job title or keyword
Data Analyst
Job Location:
Job Location:
Charlotte, VT - USA
Monthly Salary:
Not provided by the employer
Monthly Salary:
Experience Required:
8years
Experience Required:
Posted:
18 June 2026 (30+ days ago)
Posted:
Application Deadline:
15 September 2026
Application Deadline:
Vacancies:
1 Vacancy
Vacancies:
Job Summary
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
- 47 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 consumers 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
- 47 years in data analysis / BI / reporting
Benefits
Standard full-time benefits.
Required Skills:
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 47 years in data analysis / BI / reporting
