Senior Data Analyst: Data Pipelines & Insights Leader

Arch Capital Group; Greensboro (NC); On-site; USD 90,000 - 120,000; Full time

Job summary

Arch Capital Group is seeking a Senior Data Analyst to design and deliver data pipelines, dashboards, and analytics assets that empower decision-making across the organization. You will collaborate with business stakeholders, leverage Databricks, Snowflake, and Azure, and apply robust development practices to ensure scalable, reliable solutions.

A strong foundation in SQL, Python, and data warehousing is essential.

Qualifications

• Strong analytical, critical thinking, and problem‑solving skills with the ability to identify trends, patterns, risks, and opportunities within complex datasets.
• Proficiency in SQL, Python, and modern data analytics, automation, and reporting techniques.
• Knowledge of data warehousing, data modeling, data integration, and analytics solution design principles.
• Strong understanding of cloud‑based data and analytics ecosystems, including the ability to develop and support scalable solutions using modern platforms and technologies.
• Experience utilizing business intelligence, data visualization, and analytical tools to communicate insights and support decision‑making.
• Familiarity with AI‑assisted productivity and analytics tools, and the ability to effectively leverage these technologies to improve quality, efficiency, and outcomes.
• Ability to translate business requirements into effective data and analytics solutions and communicate complex concepts to technical and non‑technical audiences.
• Strong organizational, prioritization, and collaboration skills with the ability to manage multiple initiatives and competing priorities.

Responsibilities

• Data & Analytics Solutions
• Design, develop, and support data solutions, including data pipelines, analytical datasets, reports, dashboards, and automation that enable business decision‑making.
• Acquire, integrate, transform, and validate data from a variety of internal and external sources, ensuring data is accurate, consistent, secure, and accessible.
• Perform data analysis, modeling, reconciliation, and trend evaluation to identify actionable insights, opportunities, risks, and recommendations.
• Business Partnership & Delivery
• Partner with business stakeholders to understand objectives, gather requirements, and translate business needs into scalable data and analytics solutions.
• Manage multiple priorities while effectively communicating progress, risks, dependencies, and recommendations to stakeholders and leadership.
• Technology, Innovation & Quality
• Leverage modern cloud‑based data and analytics platforms, automation technologies, and AI‑assisted development tools to improve productivity, accelerate solution delivery, and enhance solution quality.
• Apply established development practices, including testing, documentation, version control, peer review, and change management, to ensure reliable, maintainable, and scalable solutions.
• Troubleshoot data, process, and performance issues, identify root causes, and implement effective resolutions while continuously improving existing solutions.
• Collaboration & Knowledge Sharing
• Serve as a subject matter resource within assigned business domains and support team success through knowledge sharing, documentation, collaboration, and informal mentoring.

Skills

SQL

Python

Data analytics

Data visualization

Cloud data platforms

Education

Bachelor’s degree in Information Systems, Business Analytics, Data Science, Computer Science, Engineering, Mathematics, Statistics, Economics, Finance, or a related discipline

Tools

Databricks

Snowflake

Azure

Job description

Arch Capital Group is seeking a Senior Data Analyst to design and deliver data pipelines, dashboards, and analytics assets that empower decision-making across the organization. You will collaborate with business stakeholders, leverage Databricks, Snowflake, and Azure, and apply robust development practices to ensure scalable, reliable solutions.

A strong foundation in SQL, Python, and data warehousing is essential.