Sr. Data Analyst

Arch Capital Group•Greensboro, NC

1d•Hybrid

About The Position

The Senior Data Analyst is a hands-on analytical and technical contributor on Arch Mortgage’s Data, Reporting and Insights team. The role supports the team’s mission to unlock the power of data through accurate, timely, actionable reporting and analytics that help stakeholders make data-driven decisions. The analyst builds reliable data pipelines, analytics-ready data assets, reports, dashboards, and data-driven insights using modern platforms such as Databricks, Snowflake, and Azure. The role partners with business stakeholders to understand needs, translate requirements into practical data solutions, and deliver work that is accurate, reusable, and well documented. The position is hybrid, with two days in the office and three days working remotely, in a normal office environment. Attendance and punctuality are expected, and work responsibilities should be covered when absent. Reasonable accommodation will be made for qualified individuals with disabilities to perform the essential functions of the job. The incumbent may be asked to perform other duties as required. The position is incentive eligible. The posted base salary range is $90,000–$120,000 per year. Total individual compensation, including base salary and short- and long-term incentives, depends on factors such as location, role scope and responsibilities, qualifications, talent availability and specialization, and business needs.

Requirements

Strong analytical, critical-thinking, and problem-solving skills, including the ability to identify trends, patterns, risks, and opportunities in 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 and the ability to develop and support scalable solutions using modern platforms and technologies.
Experience using 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 use them 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, including the ability to manage multiple initiatives and competing priorities.
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.
At least 3 years of progressive experience in data analytics, reporting, business intelligence, data engineering, or a related discipline, including independently delivering data and analytics solutions and partnering with business stakeholders.

Nice To Haves

Experience with Databricks, Snowflake, and modern cloud-based analytics platforms.

Responsibilities

Design, develop, and support data pipelines, analytical datasets, reports, dashboards, and automation that enable business decision-making.
Acquire, integrate, transform, and validate internal and external data, ensuring it is accurate, consistent, secure, and accessible.
Perform data analysis, modeling, reconciliation, and trend evaluation to identify insights, opportunities, risks, and recommendations.
Partner with business stakeholders to understand objectives, gather requirements, and translate needs into scalable data and analytics solutions.
Manage multiple priorities and communicate progress, risks, dependencies, and recommendations to stakeholders and leadership.
Use cloud-based data and analytics platforms, automation technologies, and AI-assisted development tools to improve productivity, delivery speed, and solution quality.
Apply testing, documentation, version control, peer review, and change management practices to support reliable, maintainable, scalable solutions.
Troubleshoot data, process, and performance issues, identify root causes, and implement resolutions while improving existing solutions.
Serve as a subject matter resource in assigned business domains and support the team through knowledge sharing, documentation, collaboration, and informal mentoring.