Operational Insights Specialist
US$86,000 – US$131,000 / yr base salary
Posted 2 Oct 2026
BranchFactor Summary
The original posting with the fluff stripped out
- Expected experience
- 2–3 yrs
- Management level
- Individual contributor
- Employment
- Hybrid
- Contract
- Full-time
| Base salary | US$86,000 – US$131,000 / yr |
|---|
Field of studyBusiness Intelligence, Computer Science, Data Analytics, Information Systems (or related)
Study levelBachelor's
About Us:
DailyPay is the leader in On-Demand Pay, helping employers modernize how people get their pay. DailyPay serves more than 1,900 employers and over 6 million employees, including many of the world's most recognized brands. By providing real-time access to earned pay and financial wellness tools, DailyPay helps employees manage their finances and helps employers attract and retain talent. DailyPay is helping define the future of pay, where money moves at the speed of work. Learn more at DailyPay's Press Center.
***This role will be hybrid in our New York City or Minneapolis Office***
The Role:
The Operational Insights Specialist is responsible for supporting daily contact center analytics and embedding generative AI tools into routine operational and reporting workflows. Applying foundational analytical skills and professional expertise, this role utilizes established AI models and prompt pipelines to process unstructured customer interaction data. You will work within defined frameworks to generate actionable reports on customer sentiment, agent performance, and operational trends for management review. Through routine data validation and prompt execution, you will help improve analytical efficiency and drive continuous service improvements across the department.
How You Will Make an Impact:
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AI Workflow Execution: Execute and monitor automated AI prompt pipelines to analyze daily contact center interaction logs, transcripts, and customer sentiment metrics
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Data Synthesis & Insights: Transform unstructured contact center data into structured summary metrics highlighting operational bottlenecks, agent performance, and emerging trends
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Dashboard Maintenance: Maintain recurring visual dashboards, executive summaries, and performance scorecards using SQL and BI platforms like Tableau or Snowflake
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Process Automation Support: Partner with contact center management to identify manual reporting tasks and apply standard AI tools to streamline routine data collection
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Prompt Validation & Quality: Audit AI-generated outputs and apply prompt refinement frameworks to ensure high analytical accuracy and minimize model hallucinations
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Cross-Functional Coordination: Coordinate with IT and Data Engineering teams to support standard data pipeline maintenance and ensure secure AI integration practices
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Team Enablement: Assist in documenting AI analytics workflows and support peer team members in adopting generative AI tools within daily analytical tasks