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TaskUs

Business Insights Analyst

TaskUs

. Turn complex operational telemetry, task logs, and model evaluation data into actionable business intelligence and automated workflows .

Posted 10/22/2026full-timeRemote • ColombiaJuniorMid-LevelWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Proficient in SQL query optimization and workflow automation, with a strong ability to translate complex operational data into actionable business insights. Experienced in developing interactive dashboards and automating processes using Google Apps Script and Google Sheets.

Highest-signal resume keywords
SQL Query OptimizationGoogle Apps Script AutomationLooker Studio Dashboard DevelopmentStatistical Analysis and Metrics EvaluationData Storytelling and Stakeholder Recommendations

ATS Keywords

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Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
SQLGoogle BigQueryAmazon RedshiftJavaScriptGoogle SheetsCommon Table Expressions (CTEs)Precision and Recall MetricsF1-ScoreData NormalizationPython
Soft Skills
Proactive Problem SolvingAnalytical ThinkingEffective Communication
Tools & Technologies
Looker StudioGoogle Apps ScriptGoogle SheetsHTMLCSS
Industry Keywords
Operational TelemetryAutomated WorkflowsPerformance BottlenecksData DiscrepanciesAutonomous Vehicle Operations

Tech Stack

Tools & technologies
Amazon RedshiftBigQueryJavaScriptNumpyPandasPythonSQL

About the role

Key responsibilities & impact
  • Turn complex operational telemetry, task logs, and model evaluation data into actionable business intelligence and automated workflows
  • Write optimized SQL queries across Google BigQuery and Amazon Redshift to extract, aggregate, and transform large-scale operational records
  • Develop, deploy, and maintain custom automations, triggers, and lightweight internal Web Apps using Google Apps Script
  • Track and analyze throughput metrics, including queue latency, handle times, reassignment ratios, and SLA compliance across operations teams
  • Design and maintain executive-ready automated dashboards in Looker Studio and advanced Google Sheets
  • Evaluate ground-truth labeling accuracy and classifier outputs using Precision, Recall, F1-Score, and Confusion Matrices
  • Conduct statistical root cause investigations into performance bottlenecks, triage errors, and data discrepancies
  • Translate operational data into business stories and actionable stakeholder recommendations
  • Identify operational bottlenecks and build automated solutions to reduce manual reporting

Requirements

What you’ll need
  • Bachelor’s Degree in Computer Science, Computer Engineering, Electronics & Communications Engineering (ECE), Information Technology, or related quantitative field
  • 2+ years of professional analytics experience combining SQL, dashboarding, and workflow automation
  • 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 BigQuery
  • Experience developing custom functions, scheduled triggers, and interactive Google Sheets tools
  • Hands-on proficiency querying Google BigQuery and Amazon Redshift
  • Strong command of Common Table Expressions (CTEs), window functions, partitions, and query optimization techniques for high-volume datasets
  • Mastery of complex Google Sheets formulas, including QUERY, FILTER, ARRAYFORMULA, INDEX/MATCH, and regex functions, and data normalization
  • Deep experience building interactive dashboards in Looker Studio integrated with BigQuery and Google Sheets data sources
  • Solid understanding of classification metrics: Precision, Recall, F1-score, False Positives/Negatives
  • Ability to design sampling plans and statistical methods to audit labeling accuracy and task quality
  • Ability to translate raw operational data into high-level business stories and actionable recommendations for stakeholders
  • Proactive identification of operational bottlenecks and initiative to build automated solutions
  • Experience with Python (pandas, numpy) for exploratory data analysis is nice-to-have
  • Prior experience supporting autonomous vehicle (AV), geospatial, or large-scale AI annotation operations is nice-to-have
  • Familiarity with basic HTML/CSS front-ends via Google Apps Script Web Apps is nice-to-have

Benefits

Comp & perks
  • Competitive industry salaries
  • Comprehensive benefits packages
  • Employee well-being support
  • Inclusive environment
  • Professional growth opportunities
  • Internal mobility opportunities
  • Reasonable accommodations during the hiring process
  • Equal access to opportunities