Operational Insights Specialist

Daily Pay

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
Minneapolis, MN
Salary
$86,000–$131,000 / yr
Posted
11 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $145k
This role $108k
$76k most similar roles pay here $183k

This role pays less than 85% of similar roles. Most pay $119,525–$170,000 — the shaded band above. At the midpoint, this role pays about $108k versus about $145k for comparable roles.

Based on 239 similar postings.

Employer

About Daily Pay

DailyPay is an employee financial wellness platform that allows workers to access their earned wages before payday, helping employers improve retention and financial well-being for their employees. Industry: Financial Technology & Employee Benefits

Daily Pay currently has 4 open roles on FindRole.

Most-posted roles

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At a glance

TL;DR · Operational Insights Specialist

The Operational Insights Specialist supports daily contact center analytics by embedding generative AI tools into routine operational and reporting workflows. You will be responsible for executing automated AI prompt pipelines to process unstructured customer interaction data, such as logs and transcripts, to identify trends in sentiment and agent performance. The role involves transforming this data into structured metrics, maintaining visual dashboards, and auditing AI-generated outputs to ensure accuracy. To succeed, you must possess experience with LLM workflows using models like Anthropic Claude, Google Gemini, or OpenAI, alongside proficiency in SQL, Tableau, Snowflake, and scripting languages like Python or R. You will solve operational challenges by automating manual reporting tasks and providing actionable insights on contact center metrics such as AHT, CSAT, and FCR to drive continuous service improvements across the department.

What you'll do

  • Execute and monitor automated AI prompt pipelines to analyze contact center logs and customer sentiment metrics.
  • Transform unstructured interaction data into structured summary metrics regarding operational bottlenecks and agent performance.
  • Maintain recurring visual dashboards and executive scorecards using SQL and BI platforms like Tableau or Snowflake.
  • Audit AI-generated outputs and apply prompt refinement frameworks to ensure accuracy and minimize hallucinations.
  • Identify manual reporting tasks and implement standard AI tools to automate routine data collection processes.
  • Coordinate with IT and Data Engineering teams to maintain data pipelines and ensure secure AI integration.
  • Document AI analytics workflows and train team members on adopting generative AI tools for daily tasks.
  • Prepare trend analyses and respond to ad hoc data requests from leadership to support decision-making.

What we're looking for

  • Bachelor’s degree in Data Analytics, Computer Science, Information Systems, Business Intelligence, or a related quantitative field.
  • 2-3 years of experience in data analytics, business intelligence, or operational analysis.
  • Active exposure to AI platforms or LLM workflows.
  • Practical experience utilizing top-tier AI models and low-code/API automation tools for data processing.
  • Proficiency in SQL and data visualization tools such as Tableau or Snowflake.
  • Familiarity with scripting languages like Python or R for data manipulation.
  • Strong understanding of Contact Center and Customer Experience (CX) metrics.
  • Proven ability to synthesize complex datasets into clear, structured narratives and actionable recommendations.

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