Senior Data Analyst - Insights & Dashboards Lead

Argo Group; New York (NY); On-site; USD 113,000 - 143,000; Full time

Benefits offered by this job

Health, dental, vision benefits

401(k) with company match

Paid time off

Job summary

Argo Group seeks a Sr Data Analyst to partner with stakeholders across P&C Operations to deliver advanced analytical insights and operational decision support. The role involves data conceptualization, mining/modeling, and presenting data-driven recommendations.

Responsibilities include building dashboards (Power BI), developing data pipelines, and ensuring data governance and quality. This is an on-site role requiring collaboration across underwriting, product, actuarial, claims, and marketing

Qualifications

• Bachelor’s degree in mathematics, computer science, data science, or related field (equivalent work experience considered).
• Proficient in Python/PySpark, SQL (CTE, window functions) and Power BI.
• Experience in data quality control/governance, data mining, and modeling.
• Working knowledge of emerging analytics technology (e.g., AI/ML concepts).
• Strong written and verbal communication skills.

Responsibilities

• Partners with stakeholders to define problems and translate data needs into analytical solutions.
• Develops and maintains dashboards, reports, and data products for P&C Operations using Power BI.
• Develops and optimizes SQL queries, Python/PySpark scripts, and data pipelines for analysis and reporting.
• Leads analytics initiatives, managing timelines and deliverables end-to-end.
• Ensures data governance standards and data quality across source systems and reports.

Skills

Python/PySpark

SQL

Power BI

Data governance

Data mining

ML concepts

Education

Bachelor’s degree in mathematics or CS or data science

Tools

Microsoft Fabric

Snowflake

Visual Studio Code

Job description

Argo Group seeks a Sr Data Analyst to partner with stakeholders across P&C Operations to deliver advanced analytical insights and operational decision support. The role involves data conceptualization, mining/modeling, and presenting data-driven recommendations.

Responsibilities include building dashboards (Power BI), developing data pipelines, and ensuring data governance and quality. This is an on-site role requiring collaboration across underwriting, product, actuarial, claims, and marketing