Senior Data Analyst

Arch Capital Group Ltd.

. Design, develop, and support data pipelines, analytical datasets, reports, dashboards, and automation .

Posted 11/12/2026full-timeUnited StatesSenior💰 $90,000 - $120,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and developing data pipelines, analytical datasets, and reporting solutions while leveraging cloud-based data platforms and automation technologies. Proficient in translating business requirements into scalable data analytics solutions and effectively communicating insights to diverse stakeholders.

Highest-signal resume keywords

SQL ProficiencyPython ProficiencyData Analytics Solutions DeliveryCloud-Based Data EcosystemsBusiness Intelligence Tools

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data AnalysisData ModelingData IntegrationData WarehousingAnalytical Solution DesignTrend EvaluationAutomation TechnologiesTesting PracticesVersion ControlChange Management

Soft Skills

Analytical SkillsCritical ThinkingProblem-SolvingOrganizational SkillsCollaboration Skills

Tools & Technologies

DatabricksSnowflakeAI-Assisted ToolsData Visualization ToolsBusiness Intelligence Tools

Industry Keywords

Data AnalyticsBusiness IntelligenceData EngineeringStakeholder EngagementKnowledge Sharing

Tech Stack

Tools & technologies

CloudPythonSnowflakeSQL

About the role

Key responsibilities & impact

Design, develop, and support data pipelines, analytical datasets, reports, dashboards, and automation
Acquire, integrate, transform, and validate data from internal and external sources
Perform data analysis, modeling, reconciliation, and trend evaluation
Identify actionable insights, opportunities, risks, and recommendations
Partner with business stakeholders to understand objectives and gather requirements
Translate business needs into scalable data and analytics solutions
Manage multiple priorities and communicate progress, risks, dependencies, and recommendations
Leverage cloud-based data and analytics platforms, automation technologies, and AI-assisted development tools
Apply testing, documentation, version control, peer review, and change management practices
Troubleshoot data, process, and performance issues and implement resolutions
Serve as a subject matter resource and support knowledge sharing, documentation, collaboration, and informal mentoring

Requirements

What you’ll need

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
Experience independently delivering data and analytics solutions and partnering with business stakeholders
Strong analytical, critical thinking, and problem-solving skills
Proficiency in SQL and Python
Knowledge of data warehousing, data modeling, data integration, and analytics solution design principles
Strong understanding of cloud-based data and analytics ecosystems
Experience utilizing business intelligence, data visualization, and analytical tools
Familiarity with AI-assisted productivity and analytics tools
Ability to translate business requirements into data and analytics solutions and communicate complex concepts to technical and non-technical audiences
Strong organizational, prioritization, and collaboration skills
Experience with Databricks, Snowflake, and modern cloud-based analytics platforms is preferred

Benefits

Comp & perks

Multiple medical plans
Dental, vision, and prescription drug coverage
Competitive 401(k) with generous matching
PTO beginning at 20 days per year
Up to 12 paid company holidays per year
2 paid days of Volunteer Time Off
Basic Life and AD&D Insurance
Short- and Long-Term Disability
Paid Parental Leave of up to 10 weeks
Student Loan Assistance
Tuition Reimbursement
Backup Child and Elder Care