Business Insights Analyst

TaskUs; Pasig; On-site; PHP 300,000 - 420,000; Full time

Job summary

TaskUs is seeking a Business Insights Analyst to influence executive strategy through data-driven storytelling. You will mentor stakeholders, oversee synthesis of complex data into actionable frameworks, and lead the design of reporting ecosystems in collaboration with Data Visualization and Engineering teams.

You will translate technical findings into strategic roadmaps for business partners and ensure reporting outputs align with core KPIs and long-term objectives.

Qualifications

• Must be able to run rigorous statistical analysis on labeling outputs and determine testing or sampling needed to improve classifiers.
• Ability to independently query and extract raw labeling data to support dashboards and reports.
• Translate complex statistical findings into clear, actionable dashboards using Looker Studio, Tableau, or Power BI.

Responsibilities

• Strategic storytelling to translate datasets into high-level business narratives influencing executive strategy.
• Oversee synthesis of data into actionable frameworks prioritised by business impact.
• Serve as primary consultant to business partners, translating findings into executive-ready steps and strategic roadmaps.
• Define roadmap for ad-hoc and automated reporting aligned with core KPIs and long-term objectives.
• Lead cross-functional collaborations with Data Visualization and Engineering to build scalable reporting ecosystems.

Skills

Statistical Modeling & Analysis

Intermediate SQL

Data Visualization

Education

Bachelor's Degree in ECE, Computer Engineering, Computer Science, IT or related

Tools

Looker Studio

Tableau

Power BI

Job description

What can you expect in a Business Insights Analyst role with TaskUs:

• Focus: Strategic influence, mentorship, and high-level stakeholder management.
• Strategic Storytelling: Architect data-driven narratives that translate complex datasets into high-level business stories, directly influencing executive strategy and pivoting organizational tactics.
• Decision Support Leadership: Oversee the synthesis of complex data into actionable frameworks, ensuring insights are prioritized based on their potential for business impact.
• Stakeholder Synthesis: Serve as the primary consultant to business partners, translating technical analytical findings into executive-ready next steps and strategic roadmaps.
• Reporting Strategy & Oversight: Define the roadmap for ad-hoc and automated reporting, ensuring all outputs align with core business KPIs and long-term objectives.
• Cross-Functional Orchestration: Lead collaborations with Data Visualization and Engineering teams to build scalable, repeatable reporting ecosystems that maintain high standards of data hygiene and trend discovery.
• Technical Liaison: Bridge the gap between technical teams and business units by translating high-level business requirements into robust technical specifications and vice versa.
• Insight Governance: Direct the integration of disparate data sources and the development of strategic assumptions to identify untapped market opportunities and business risks.

Must-Have Core Competencies:

• Statistical Modeling & Analysis: Ability to run rigorous statistical analysis on labeling outputs and determine the exact testing or sampling needed to improve the classifiers.
• Intermediate SQL: Ability to independently query and extract raw labeling data to serve as the source of our dashboards and reports.
• Data Visualization: Proficiency in tools like "Looker Studio", "Tableau", or "Power BI" to translate complex statistical findings into clear, actionable dashboards.

Optional Skills:

• Foundational ML / NLP Evaluation: Understanding of core machine learning metrics (Precision, Recall, F1 scores, etc.) to properly evaluate classifier performance and familiarity with the technical concepts and language.
• A/B Testing Framework Design: Experience setting up control groups for process changes.
• Root Cause Analysis: Ability to transition the role from simply reporting numbers to identifying the cause of errors.

Education / Certifications:

• Bachelor’s Degree in ECE, Computer Engineering, Computer Science, Information Technology, or any IT / Computer-related course.