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Business Insights Analyst

Job in Boise, Ada County, Idaho, 83701, USA
Listing for: TaskUs
Full Time position
Listed on 2026-11-01
Job specializations:
  • IT/Tech
    Data Analyst
Salary/Wage Range or Industry Benchmark: 90000 - 130000 USD Yearly USD 90000.00 130000.00 YEAR
Job Description & How to Apply Below

About Task Us:
Task Us is a provider of outsourced digital services and next-generation customer experience to fast-growing technology companies, helping its clients represent, protect and grow their brands. Leveraging a cloud-based infrastructure, Task Us serves clients in the fastest-growing sectors, including social media, e-commerce, gaming, streaming media, food delivery, ride-sharing, HiTech, Fin Tech, and Health Tech.

The People First culture at Task Us has enabled the company to expand its workforce to approximately 60,000 employees globally. Presently, we have a presence in twenty-three locations across twelve countries, which include the Philippines, India, and the United States.

It started with one ridiculously good idea to create a different breed of Business Processing Outsourcing (BPO)! We at Task Us understand that achieving growth for our partners requires a culture of constant motion, exploring new technologies, being ready to handle any challenge at a moment’s notice, and mastering consistency in an ever-changing world.

What We Offer:

At Task Us, we prioritize our employees’ well-being by offering competitive industry salaries and comprehensive benefits packages. Our commitment to a People First culture is reflected in the various departments we have established, including Total Rewards, Wellness, HR, and Diversity. We take pride in our inclusive environment and positive impact on the community. Moreover, we actively encourage internal mobility and professional growth at all stages of an employee’s career within Task Us.

Join our team today and experience firsthand our dedication to supporting People First.

As aBusiness Insights & Automation Analyst, you will be responsible for turning complex operational telemetry, task logs, and model evaluation data into actionable business intelligence and automated workflows. You will work primarily within the Google Ecosystem (Big Query, Google Sheets, Looker Studio, Google Apps Script) alongside Amazon Redshift, querying massive datasets, building lightweight internal web tools/automations, and reporting on operational performance, Service Level Agreements (SLAs), and machine learning classifier quality.

Focus

Area and Core Responsibilities Data Extraction & Warehousing:

Write optimized, robust SQL queries across Google Big Query and Amazon Redshift to extract, aggregate, and transform large-scale operational records.

Workflow Automation & Tooling

Develop, deploy, and maintain custom automations, triggers, and lightweight internal web apps using Google Apps Script to eliminate manual reporting friction.

Operational & SLA Analytics

Track and analyze key throughput metrics, including queue latency, handle times, reassignment ratios, and SLA compliance across operations teams.

Reporting & Dashboards

Design and maintain executive-ready, automated dashboards strictly in Looker Studio and advanced Google Sheets.

AI/ML Quality & Classification

Evaluate ground-truth labeling accuracy and classifier outputs using standard metrics (Precision, Recall, F1-Score, Confusion Matrices).

Root Cause Analysis (RCA)

Conduct deep-dive statistical investigations into performance bottlenecks, triage errors, and data discrepancies.

Required Qualifications & Core Competencies Must-Have Technical Skills (Strict Requirements)
Demonstrated Experience in Google Apps Script (GAS)
  • Proven experience writing JavaScript-based scripts in Google Apps Script to automate data pipelines, sync data across Google Sheets, trigger email alerts, and interact with external APIs or Big Query.
  • Experience developing custom functions, scheduled triggers, and interactive Google Sheets tools.
Advanced SQL (Big Query & Amazon Redshift)
  • Hands-on proficiency querying columnar and cloud data…
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