Sr. Data Analyst

Arch Capital Group Ltd
Greensboro, NC, United States
7 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
3 years minimum
Working hours
Regular working hours

Tech stack

Artificial Intelligence Business Analytics Applications Data Analysis Microsoft Azure Big Data Cloud Database Information Systems Information Engineering Data Integration Data Security Data Systems Data Visualization
+11 more
Data Warehousing Digital Assets Python (Programming Language) SQL Databases Cloud Platform System Snowflake Data Analytics Tools for Reporting Software Version Control Data Pipelines Databricks

Job description

Experteer Overview In this role you will serve as a hands-on data analyst and technical contributor within Arch Mortgage Data, Reporting and Insights, building reliable data pipelines, analytics-ready data assets, and dashboards on Databricks, Snowflake, and Azure. You will partner with stakeholders to translate needs into scalable data solutions, delivering accurate, reusable, and well-documented work that enables data-driven decisions and business growth. The position emphasizes collaboration, modern cloud platforms, and continuous improvement with a focus on impact and actionable insights. Compensation / Benefits * Design, develop, and support data pipelines, datasets, reports, dashboards, and automation to enable decision-making. * Ingest, transform, validate, and secure data from diverse sources for accuracy and accessibility. * Perform data analysis, modeling, reconciliation, and trend evaluation to identify insights and recommendations. * Collaborate with stakeholders to understand objectives and translate needs into scalable data solutions. * Manage multiple priorities and communicate progress, risks, and dependencies to leadership. * Leverage cloud-based platforms and automation to improve delivery speed and solution quality. * Apply development practices such as testing, documentation, version control, peer review, and change management. * Troubleshoot data, process, and performance issues and implement effective resolutions while improving existing solutions. * Support knowledge sharing, documentation, collaboration, and informal mentoring within the team. Tasks * Strong analytical and problem-solving skills with the ability to identify trends and risks 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. * Experience with cloud-based data ecosystems and scalable solutions on modern platforms. * Experience using business intelligence, data visualization, and analytical tools to support decision-making. * Familiarity with AI-assisted productivity and analytics tools to improve quality and efficiency. * Ability to translate business requirements into effective data solutions and communicate to technical and non-technical audiences. * Strong organizational, prioritization, and collaboration skills to manage multiple initiatives. * 3+ years of progressive experience in data analytics, reporting, BI, or data engineering with stakeholder collaboration. * Bachelor’s degree in Information Systems or related discipline; or equivalent experience. Key requirements * comprehensive benefits package * medical plans, dental, vision * 401k with generous matching * PTO 20 days per year * up to 12 paid holidays * Volunteer Time Off

Requirements

that objectives and translate needs into scalable data solutions. * Manage multiple priorities and communicate progress, risks, and dependencies to leadership. * Leverage cloud-based platforms and automation to improve delivery speed and solution quality. * Apply development practices such as testing, documentation, version control, peer review, and change management. * Troubleshoot data, process, and performance issues and implement effective resolutions while improving existing solutions. * Support knowledge sharing, documentation, collaboration, and informal mentoring within the team. Tasks * Strong analytical and problem-solving skills with the ability to identify trends and risks 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. * Experience with cloud-based data ecosystems and scalable solutions on modern platforms. * aaaaa aaaA_ using business intelligence, data visualization, and analytical tools to support decision-making. * Familiarity with AI-assisted productivity and analytics tools to improve quality and efficiency. * Ability to translate business requirements into effective data solutions and communicate to technical and non-technical audiences. * Strong organizational, prioritization, and collaboration skills to manage multiple initiatives. * 3+ years of progressive experience in data analytics, reporting, BI, or data engineering with stakeholder collaboration. * Bachelor’s degree in Information Systems or related discipline; or equivalent experience. Key requirements * comprehensive benefits package * medical plans, dental, vision * 401k with generous matching * PTO 20 days per year * up to 12 paid holidays * Volunteer Time Off

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