Lorven Technologies Inc.

Data Business Analyst (Consumer Experience Analytics)

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Business Analyst (Consumer Experience Analytics) in Minneapolis, MN, for 12-14+ years of experience in healthcare analytics. Requires expertise in SQL, Snowflake, and consumer experience metrics. Pay rate is unspecified.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
June 12, 2026
🕒 - Duration
Unknown
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🏝️ - Location
On-site
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Minnesota, United States
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🧠 - Skills detailed
#"ETL (Extract #Transform #Load)" #Data Extraction #Storytelling #Visualization #Datasets #Consulting #Leadership #Monitoring #Data Analysis #Business Analysis #SQL (Structured Query Language) #Statistics #Agile #Automation #Python #Snowflake
Role description
Hi , Our client is looking for an Data Business Analyst (Consumer Experience Analytics) for a project and below is the detailed requirement. Job Title: Data Business Analyst (Consumer Experience Analytics) Location: Minneapolis, MN Domain: Healthcare / Health Insurance / Payer Qualifications & Experience: • Bachelor's degree in Business Administration, Information Systems, Data Analytics, Healthcare Management, Statistics, or a related field with 12-14+ years of overall experience. • 8+ years of experience as a Business Analyst, Data Analyst, or Data Business Analyst with strong expertise in operational and consumer experience analytics. • Proven experience analyzing large datasets to identify trends, process improvement opportunities, cost optimization initiatives, and business performance insights. • Strong hands-on experience with SQL, Snowflake, and advanced Excel for data extraction, analysis, reporting, and dashboard development. • Experience working with consumer/customer experience metrics such as NPS (Net Promoter Score), Voice of Customer (VoC), customer feedback analysis, consumer journey analytics, and digital interaction data. • Strong knowledge of reporting, KPI development, operational performance monitoring, and executive-level dashboarding. • Experience collaborating with cross-functional business teams including Operations, Claims, Contact Centers, Product Management, Enrollment, Sales, IT, and Provider Services. • Ability to analyze operational incidents, service disruptions, consumer complaints, and emerging trends to proactively identify business impacts. • Experience creating executive presentations, business recommendations, and data-driven storytelling using PowerPoint and visualization tools. • Healthcare Payer, Managed Care, Medicare, Medicaid, or Health Insurance industry experience is highly preferred. • Exposure to Python-based automation, data transformation, or reporting automation is a plus. • Excellent communication, stakeholder management, problem-solving, and business consulting skills. • Experience working in Agile, fast-paced, and cross-functional environments. Key Responsibilities: • Analyze consumer experience, operational, and business performance data to identify trends, risks, opportunities, and actionable recommendations. • Monitor and evaluate key consumer experience metrics including NPS, customer feedback, digital interactions, service performance, and operational KPIs. • Develop and maintain reports, dashboards, scorecards, and performance tracking mechanisms using SQL, Snowflake, Excel, and reporting tools. • Partner with business stakeholders to identify process improvement opportunities that enhance consumer satisfaction, operational efficiency, and business outcomes. • Collaborate with Consumer Resolution Centers, Contact Center Operations, Product Teams, Claims, Enrollment, Sales, Provider Operations, IT, and other business units to support strategic initiatives. • Monitor operational events, service disruptions, consumer issues, and emerging trends that may impact customer experience and business performance. • Conduct root cause analysis and provide data-driven recommendations to address operational challenges and improve service delivery. • Translate complex datasets into meaningful business insights and executive-level presentations for leadership decision-making.