Senior Data Analyst – Finance

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Consensus Cloud Solutions

WebsiteLinkedInAll Job Openings

501 - 1000 employees

🏥 Healthcare

☁️ SaaS

🤖 Artificial Intelligence

💰 $225M Post-IPO Debt - Consensus Cloud Solutions on 2025-07

Healthcare • SaaS • Artificial Intelligence

Consensus Cloud Solutions is a public company (NASDAQ: CCSI) that started as a digital cloud faxing organization over 20 years ago and spun off from J2 Global (Ziff Davis) in October 2021. It is described as the global leader of digital cloud fax technology and provides solutions that transform unstructured digital documents into secure, advanced healthcare standard HL7/FHIR structured data. The company leverages Natural Language Processing and AI to create analytics-ready data for clinicians, enabling secure handling of healthcare documents and integration with healthcare data standards. It focuses on the healthcare industry, emphasizing secure cloud fax and document-to-data transformation.

📋 Description

• Maintain Data Sets: Design, build, and maintain scalable data models from our data lake that power financial forecasting, budgeting, and ad-hoc analysis. • SQL Queries: Develop and optimize SQL queries for data retrieval, transformation, and analysis. • Dashboarding & BI: Develop, launch, and maintain automated, executive-ready BI dashboards (Tableau, PowerBI, or Looker). • Cross-Functional Collaboration: Partner closely with Sales Operations, Data Engineering, and Product teams to align disparate data sources (e.g., Salesforce, Stripe, Oracle) into a single source of truth for Finance. • Data Governance: Ensure the absolute integrity and accuracy of financial data used for board meetings, investor relations, and regulatory reporting. • Perform other duties and responsibilities as required, assigned, or requested. Consensus reserves the right to add or change duties at any time.

🎯 Requirements

• 3 to 5 years of experience in data analytics, business intelligence, or financial analytics, ideally within a B2B SaaS environment. • Advanced SQL skills are non-negotiable. You can write complex, optimized queries, handle window functions, and manage large-scale data manipulation with ease. • Support automation and process improvements to increase efficiency, scalability, and self-service analytics within the organization. • Proven solid analytical and problem-solving skills, with the ability to independently investigate issues and deliver insights. • Experience with modern data stacks including cloud-based databases. Hands on experience with data warehousing tools (e.g., Snowflake, BigQuery, Redshift). Experience with data visualization and BI tools for creating intuitive dashboards (Tableau strongly preferred). Proven ability to build and manage data pipelines independently, from ingestion to reporting. • Proven excellent communication skills with the ability to explain complex data findings to both technical and non-technical stakeholders.

🏖️ Benefits

• Annual performance bonus • ESPP • Enhanced time off packages