Operational Insights Specialist

Daily Pay

Confirmed live today High trust
Remote

Quick summary

Work type
Remote
Location
New York, NYMinneapolis, MN
Salary
$86,000–$131,000 / yr
Employment
Full-time
Posted
57 days ago
Freshness
Confirmed live today

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $142k
This role $108k
$75k $191k
below market most similar roles pay here above market

This role pays less than 83% of similar roles. Most pay $115,000–$168,000 — the blue band above. At the midpoint, this role pays about $108k versus about $142k for comparable roles.

Based on 240 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 5 open roles on FindRole.

Listed pay typically runs $136,000–$190,000 across 5 roles with salary data.

Most-posted roles

View all roles at Daily Pay

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 execute and monitor automated AI prompt pipelines to analyze interaction logs, transcripts, and customer sentiment metrics. Your daily responsibilities include transforming unstructured data into structured summary metrics, maintaining visual dashboards, and auditing AI-generated outputs to ensure accuracy. You will use SQL, Snowflake, and Tableau to manage performance scorecards while utilizing models like Anthropic Claude, Google Gemini, and OpenAI. The role requires proficiency in Python or R for data manipulation and a strong understanding of contact center metrics like AHT, CSAT, and FCR. You will solve operational bottlenecks by automating manual reporting tasks and providing actionable trend analyses for leadership.

What you'll do

  • Execute and monitor automated AI prompt pipelines to analyze daily contact center interaction logs and sentiment metrics.
  • Transform unstructured contact center data into structured summary metrics highlighting operational bottlenecks and agent performance.
  • Maintain recurring visual dashboards, executive summaries, and performance scorecards using SQL and BI platforms.
  • Audit AI-generated outputs and apply prompt refinement frameworks to ensure high analytical accuracy.
  • Identify manual reporting tasks and apply standard AI tools to streamline routine data collection.
  • Coordinate with IT and Data Engineering teams to support data pipeline maintenance and secure AI integration.
  • Prepare and present routine trend analyses and respond to ad hoc data requests from leadership.

What we're looking for

  • 2-3 years of experience in data analytics, business intelligence, or operational analysis with 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 like Tableau or Snowflake.
  • Familiarity using scripting languages such as Python or R for data manipulation.
  • Strong understanding of Contact Center and Customer Experience metrics including AHT, CSAT, FCR, and QA scores.
  • Proven ability to synthesize complex datasets into clear, structured narratives and actionable recommendations.
  • Bachelor’s degree in Data Analytics, Computer Science, Information Systems, Business Intelligence, or a related quantitative field.

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