Sr. Data Analyst

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

With a company culture rooted in collaboration, expertise and innovation, we aim to promote progress and inspire our clients, employees, investors and communities to achieve their greatest potential. Our work is the catalyst that helps others achieve their goals.

In short, We Enable Possibility℠.

Job Summary

The mission of Arch Mortgage Data, Reporting and Insights team is to unlock the power of data through insightful reporting and analytics, empowering stakeholders to confidently make data-driven decisions. The team strives to deliver accurate, timely, and actionable insights which drive business growth and success while continuously innovating and pushing the boundaries of what's possible in reporting and data analytics.

Senior Data Analyst

The Senior Data Analyst is a hands‑on analytical and technical contributor who supports this mission by building reliable data pipelines, analytics‑ready data assets, reports, dashboards, and data‑driven insights on modern platforms such as Databricks, Snowflake, and Azure. This role partners with business stakeholders to understand needs, translate requirements into practical data solutions, and deliver work that is accurate, reusable, and well documented.

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, modelling, 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.

Knowledge & Skills

• 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 modelling, 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 organisational, prioritisation, and collaboration skills with the ability to manage multiple initiatives and competing priorities.

Education & Experience

• Bachelor's degree in Information Systems, Business Analytics, Data Science, Computer Science, Engineering, Mathematics, Statistics, Economics, Finance, or a related discipline; or an equivalent combination of education and relevant experience.
• 3+ years of progressive experience in data analytics, reporting, business intelligence, data engineering, or related disciplines, including experience independently delivering data and analytics solutions and partnering with business stakeholders.
• Experience with Databricks, Snowflake, and modern cloud‑based analytics platforms is preferred.

WORKING CONDITIONS / ENVIRONMENT & PHYSICAL DEMANDS

Normal office environment. The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. Reasonable accommodation will be made to enable qualified individuals with disabilities to perform the essential functions of the job.