Senior Data Analyst: Pipelines, Insights & Cloud Analytics

Arch Capital; Greensboro (NC); On-site; USD 90,000 - 130,000; Full time

Job summary

Arch Capital in Greensboro, NC is seeking a Senior Data Analyst to design and deliver data pipelines, analytics-ready assets, reports, and dashboards that empower business decisions.

You will partner with stakeholders to translate needs into scalable data solutions on modern platforms (Databricks, Snowflake, Azure), ensuring accuracy, documentation, and reusable components for ongoing value.

Qualifications

• Bachelor's degree in Information Systems, Business Analytics, Data Science, CS, Engineering, math, economics, or related field.
• 3+ years of progressive experience in data analytics, reporting, BI, data engineering, or related disciplines.
• Experience with Databricks, Snowflake, and modern cloud-based analytics platforms is preferred.

Responsibilities

• Design, develop, and support data solutions including data pipelines, datasets, reports, dashboards, and automation.
• Acquire, integrate, transform, and validate data from internal and external sources, ensuring accuracy and security.
• Perform data analysis, modelling, reconciliation, and trend evaluation to identify insights and recommendations.
• Partner with stakeholders to understand objectives and translate needs into scalable data solutions.
• Manage multiple priorities while communicating progress, risks, and dependencies to leadership.

Skills

SQL

Python

Data analysis

Data modelling

Data warehousing

Data integration

Reporting & dashboards

BI tools

Cloud platforms

AI-assisted tools

Education

Bachelor's degree or higher in Information Systems, Analytics, CS, or related field

Tools

Databricks

Snowflake

Azure

Job description

Arch Capital in Greensboro, NC is seeking a Senior Data Analyst to design and deliver data pipelines, analytics-ready assets, reports, and dashboards that empower business decisions.

You will partner with stakeholders to translate needs into scalable data solutions on modern platforms (Databricks, Snowflake, Azure), ensuring accuracy, documentation, and reusable components for ongoing value.