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Business Intelligence & Vendor Data Analyst

Job in Denver, Denver County, Colorado, 80285, USA
Listing for: Zynex-Medical,-Inc.
Full Time position
Listed on 2026-09-12
Job specializations:
  • Business
    Business Intelligence, Data Analyst
  • IT/Tech
    Business Intelligence, Data Analyst
Salary/Wage Range or Industry Benchmark: 85000 - 120000 USD Yearly USD 85000.00 120000.00 YEAR
Job Description & How to Apply Below

Business Intelligence & Vendor Data Analyst

Job Category: Regulatory & Compliance

Requisition Number: BUSIN
001214

  • Posted :
    August 5, 2026
  • Full-Time
Locations

Showing 1 location

Altivera Corporate Office
8181 E Tufts Ave
Denver, CO 80237, USA

Description

Working with a high degree of ownership and attention to detail, the Clinical Documentation Specialist reviews documentation for completeness, identifies gaps or inconsistencies, communicates documentation requirements, and helps resolve documentation barriers that may delay patient care or reimbursement.

Core Competencies

  • Analytical Thinking & Problem Solving Evaluates complex datasets, identifies trends and root causes, and develops actionable recommendations.
  • Vendor Data Curiosity – Identifies data gaps and partners with vendors to define, validate, and operationalize new data fields.
  • Self-Initiative – Prioritizes work, investigates issues independently, and proactively brings forward solutions without requiring detailed direction.
  • Adaptability – Thrives in dynamic environments where workflows, systems, reporting requirements, and business priorities evolve rapidly.
  • Quality & Accuracy – Ensures data integrity through validation, proactively identifies discrepancies, and delivers reporting leaders can trust.
  • Business Partnership – Collaborates effectively across Operations, Revenue Cycle, Order Management, Patient Access, Patient Experience, Sales, Finance, IT, and external vendor partners.
  • Communication & Strategic Insight – Translates complex data into clear, actionable insights through dashboards, reports, presentations, and executive-level recommendations.
  • Change Leadership – Challenges existing processes, identifies opportunities for improvement, and helps drive organizational change through data-driven insights.

Business Intelligence & Reporting

  • Develop and maintain dashboards, KPI scorecards, operational reports, and recurring reporting packages.
  • Build reporting for Patient Access, Intake, Post-Ship Support, Order Management, Revenue Cycle, Patient Experience, Workers’ Compensation, Personal Injury, Sales, Finance, and Leadership.
  • Monitor organizational and departmental performance against established KPIs, operational goals, service levels, and productivity expectations.
  • Analyze data to identify trends, risks, opportunities, bottlenecks, and root causes; translate findings into practical recommendations.

Vendor Data Field Identification & Capture

  • Identify missing or incomplete data fields needed for KPI tracking, workflow management, reporting, and business decisions.
  • Partner with vendors, system owners, and stakeholders to define, request, validate, and implement new data fields.
  • Document field definitions, expected values, reporting purpose, downstream operational impact, and data collection requirements.
  • Create interim tracking methods when required data is not available through existing systems or vendor platforms.

Data Management & Analytics

  • Write, maintain, and validate SQL queries to extract and analyze operational, vendor, and enterprise data.
  • Ensure data accuracy, consistency, and reporting integrity across multiple systems.
  • Support KPI standardization, metric definitions, reporting governance, and data quality improvement.
  • Use Excel, SQL, Tableau, Power BI, and similar tools to extract, transform, analyze, and visualize business data.
  • Leverage AI and automation tools to improve reporting efficiency, reduce manual reporting, and generate insights.
  • Report on referral volume, intake productivity, call performance, conversion rates, order completion, and intake turnaround times.
  • Monitor individual and team performance metrics such as service levels, speed to answer, abandonment rate, first call resolution, handle time, quality, and work queues.
  • Evaluate…
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