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Sedgwick

Senior Business Analyst – Data & Insights

Sedgwick

Senior Data Analyst at Sedgwick delivering technology solutions and transforming data into actionable insights. Collaborating with business leaders to drive decision making and operational improvements.

Posted 6/2/2026full-timeRemote • 🇺🇸 United StatesSenior💰 $75,000 - $85,000 per yearWebsite

Tech Stack

Tools & technologies
PythonSQL

About the role

Key responsibilities & impact
  • Analyze complex datasets to identify trends, patterns, and performance opportunities, translating findings into clear business insights and recommendations.
  • Partner with business leaders and subject‑matter experts to define problems, shape analytical approaches, and influence strategic decisions.
  • Design, develop, and optimize analytical datasets and data models in Snowflake to support scalable reporting and insight generation.
  • Write complex SQL queries and leverage Python to extract, transform, and analyze data, enabling deeper business understanding.
  • Build and maintain Power BI dashboards that not only report metrics but highlight key insights, risks, and opportunities.
  • Use modern analytics tools (e.g., Hex) to perform exploratory analysis and develop repeatable workflows that support ongoing business evaluation.
  • Translate analytical findings into clear, concise, and actionable recommendations for leadership and cross‑functional teams.
  • Ensure data accuracy and integrity through validation, documentation, and adherence to governance standards.
  • Act as a trusted advisor by connecting data insights to business strategy and operational improvements.
  • Mentor junior analysts on both technical skills and insight generation best practices.

Requirements

What you’ll need
  • Bachelor’s degree in Analytics, Statistics, Computer Science, Business, or a related quantitative field.
  • 5+ years of experience in data analytics, business intelligence, or business analysis–focused roles.
  • Strong hands‑on experience with Snowflake (data modeling, analytics use cases).
  • Advanced SQL skills for querying and data transformation.
  • Python experience for data analysis, automation, and modeling.
  • Power BI expertise in creating dashboards that drive business understanding and decision‑making.
  • Proven ability to work with large, complex datasets and translate findings into business insights.
  • Strong analytical thinking with the ability to connect data to real‑world business impact.
  • Demonstrated experience providing recommendations that influence outcomes.

Benefits

Comp & perks
  • A diverse and comprehensive benefits offering including medical, dental, vision, 401k, PTO and more.
  • Career development and promotional growth opportunities.

ATS Keywords

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Hard Skills & Tools
SQLPythondata modelingdata analysisdata transformationdata validationdata integrityanalyticsbusiness intelligenceexploratory analysis
Soft Skills
analytical thinkingcommunicationmentoringproblem-solvinginfluencingcollaborationstrategic decision-makingattention to detailbusiness insight generationtrustworthiness