Senior Data Analyst Job at Quantzig in Deerfield

Base pay range

$140,000.00/yr - $150,000.00/yr

Job Title: Senior Data Analyst

Department: PAR Analytics Team

Role Overview

We are seeking a highly motivated Data Analyst to support the PAR Analytics team. The individual will work closely with cross-functional analytics and business teams to deliver ad-hoc analyses, generate insights, and support data-driven decision-making across various brands, with a particular focus on the Bone Business Unit. The analyst will be on-site in Deerfield twice per week and is expected to work autonomously, proactively addressing analytical needs and effectively communicating insights to stakeholders.

Key Responsibilities

• Partner with analytics and business teams to fulfill ad-hoc data and reporting requests across multiple brands.
• Analyze large, complex datasets (e.g., claims data, internal HUB data) to uncover actionable business insights.
• Develop and maintain Power BI dashboards and other data visualization tools to support business reporting needs.
• Write and optimize SQL queries for data extraction, transformation, and analysis.
• Prepare and deliver presentations and insights using PowerPoint, ensuring clear and concise communication to business stakeholders.
• Collaborate with cross-functional analytics teams to align methodologies, share learnings, and support broader organizational goals.
• Work independently to manage priorities, meet deadlines, and ensure high-quality deliverables.

Required Skills and Qualifications

• 3–5+ years of experience in data analysis, business analytics, or related roles.
• Strong proficiency in SQL for working with large datasets.
• Hands-on experience with Power BI (or similar BI tools such as Tableau).
• Strong skills in data storytelling and presentation development in PowerPoint.
• Proven ability to generate actionable insights from complex datasets.
• Excellent communication and stakeholder management skills; ability to interface effectively with both business and technical teams.
• Demonstrated ability to work independently and manage multiple priorities.
• Ability to learn quickly and adapt in a fast-paced environment.

Preferred Qualifications

• Experience with pharmaceutical, healthcare, or claims data analysis.
• Prior experience supporting commercial analytics or brand teams.
• Knowledge of data structures and reporting in large corporate environments.

Seniority level

• Mid-Senior level

Employment type

• Full-time

Job function

• Information Technology
• Industries
• Business Consulting and Services

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