Data Analyst, Commercial Analytics

Swooped; United States; Remote; USD 105,000 - 136,000; Full time

Benefits offered by this job

Comprehensive Benefits

Remote-first

Job summary

Swooped is seeking a Data Analyst, Commercial Analytics to measure and communicate client value. You will partner with Client Success, Commercial, Finance, Product, and Analytics teams to ensure metrics reflect value and inform strategic decisions.

This hands‑on role executes recurring measurement and reporting workflows, while improving supporting systems for a growing client base and translating commercial requirements into scalable analytics solutions.

Qualifications

• 3–5 years in a business analytics or data‑focused role.
• Strong SQL usage to explore data, validate metrics, and produce audit‑ready outputs.
• Ability to define metrics clearly and ensure consistency through documentation and governance.
• Experience automating repeatable analytics and reporting workflows.
• Excellent communication skills for internal and external audiences.

Responsibilities

• Execute recurring analyses across client reporting, dashboards, and commercial priorities.
• Develop an understanding of the value model and apply measurement frameworks to calculate and communicate outcomes.
• Build dashboards and analyses to surface trends and inform client and commercial decisions.
• Collaborate with cross‑functional teams to translate questions into analytical approaches and insights.
• Improve data quality, metric definitions, and workflows using automation and AI where applicable.

Skills

SQL proficiency

Data governance

Automation

Communication

Dashboards

Looker experience

Tools

Looker

dbt

Data modeling

Job description

The hiring organization is seeking a Data Analyst, Commercial Analytics to focus on analytics that measure and communicate value to clients. In this role, you will partner closely with Client Success, Commercial, Finance, Product, and Analytics teams to ensure organizational value is measured accurately, communicated clearly, and utilized to strengthen client relationships and inform strategic decisions.

This is a hands‑on position centered on executing recurring measurement and reporting workflows while enhancing the underlying systems that support an expanding client base. You will also collaborate with Client Product teams to streamline workflows, strengthen measurement frameworks, and translate commercial requirements into scalable product and analytics solutions.

Responsibilities

• Execute recurring and ad hoc analyses across client reporting, performance guarantees, dashboards, and other commercial priorities.
• Develop an understanding of the organization's value model and apply measurement frameworks to accurately calculate, validate, and communicate client outcomes.
• Build dashboards and analyses that surface trends, answer business questions, and inform client and commercial decision‑making.
• Work directly with Client Success and cross‑functional partners to translate complex questions into clear analytical approaches, insights, and client‑ready narratives.
• Strengthen metric definitions, documentation, data quality, and repeatable workflows while utilizing automation and artificial intelligence to improve operational speed and reliability.

First 90 Days

• First 30 days: Develop an understanding of the commercial model, client value frameworks, products, and core analytics workflows; review existing client reports, dashboards, performance‑guarantee calculations, and metric definitions; build relationships across Analytics, Client Success, and Product teams; and begin supporting recurring reporting cycles while learning internal systems and expectations.
• Days 31–60: Begin owning one recurring commercial analytics workflow to ensure deliverables are accurate, timely, and clearly communicated; support client‑specific analyses and participate in stakeholder and client‑facing discussions; and identify opportunities to improve dashboards, documentation, data quality, or workflow efficiency.
• Days 61–90: Independently manage multiple commercial analytics workflows from question definition through final delivery; implement an improvement that increases the scalability, reliability, or usefulness of an existing analysis or reporting process; and utilize analytical findings to provide clear recommendations or insights supporting Product or Commercial decisions.

Required Qualifications

• 3 to 5 years of experience in a business analyst, analytics, or data‑focused role.
• Strong SQL skills to explore data, validate metrics, and support rigorous, audit‑ready outputs.
• Ability to define metrics clearly and ensure consistency through documentation and data governance.
• Systems‑oriented mindset with a demonstrated track record of improving or automating repeatable processes.
• Strong communication skills, with experience translating complex data into clear insights for internal and external audiences.

Preferred Qualifications

• Experience building dashboards in business intelligence tools, such as Looker or similar platforms.
• Experience supporting client‑facing analytics or value reporting.
• Familiarity with modern data stack tools, such as dbt, data modeling concepts, and version‑controlled analytics workflows.

Compensation and Work Location

• Employment type: Full time.
• Work location: United States (Remote‑first role).
• Geographic restrictions: Applications are currently not accepted from residents of AK, AR, DE, HI, ME, MS, NM, OK, SD, VT, or WI for corporate positions.
• Base salary: $105,000 to $136,000 per year. Starting pay is determined by location and a variety of factors commensurate with qualifications and experience.
• Comprehensive benefits are provided by the organization.

Compliance and Hiring Notices

• As part of the duties for this role, you may come into contact with sensitive patient information governed by HIPAA. Adherence to strict security and privacy procedures is required to maintain confidentiality. Security and privacy training will be provided.
• The organization utilizes an applicant tracking system that incorporates artificial intelligence tools to support certain aspects of the recruiting process, including application review, candidate screening, and interview note‑taking. Candidate data is not used to train AI models, and all final hiring decisions are made exclusively by human personnel.