Analytics and Automations Engineer - Supply & Demand, Scommerce

Hammerjack Pty Ltd

Philippines

On-site

PHP 400,000 - 700,000

Full time

3 days ago
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Job summary

Hammerjack Pty Ltd is seeking a data/analytics professional in the Philippines to build and maintain SQL- and Python-based solutions that automate reporting and workflows. You will design dashboards, improve data quality, and monitor KPIs to drive visibility for operations and business teams.

The role requires 2-3 years of experience, a quantitative degree, and a proven track record of creating internal tools and automations to solve real-world problems.

Qualifications

  • Bachelor's degree in Engineering, Computer Science, IT, Analytics, Economics, or related quantitative field.
  • 2-3 years of professional work experience.
  • Proven track record of building automations, scripts, or internal dashboards that solve real-world business problems.
  • Experience working in ambiguous or fast-changing environment.

Responsibilities

  • Build and maintain SQL- and Python-based solutions to drive reporting and automation.
  • Identify and execute opportunities to automate repetitive workflows and manual tasks.
  • Develop and refine scripts and internal tools to reduce manual data intervention.
  • Design and deploy dashboards and trackers for single source of truth visibility for operational and business teams.
  • Audit and improve data quality and reporting clarity across funnel stages (sourcing, onboarding, activation).
  • Monitor performance KPIs through robust reporting infrastructure.
  • Translate ambiguous business problems into structured technical requirements for reporting or automation.
  • Design scalable workflows balancing speed and accuracy for high-impact results.
  • Maintain a clear-headed approach to address long-term organizational goals.
  • Partner with Operations, Commercial, BI, and other stakeholders to resolve blockers and improve funnel performance.
  • Investigate root causes of issues to improve systems beyond symptoms.
  • Communicate complex technical concepts simply to align on priorities.

Skills

SQL
Python
Excel/Sheets
Data fundamentals
Strategic communication
Ownership mindset

Education

Bachelor's degree in quantitative field

Job description

Job Description:

Solution Development & Automation

  • Build and maintain sophisticated SQL- and Python-based solutions to drive departmental reporting and automation.
  • Identify and execute high-impact opportunities to automate repetitive workflows and manual operational tasks.
  • Develop and refine scripts and internal tools to reduce organizational dependency on manual data intervention.

Analytics & Visibility

  • Design and deploy advanced dashboards and trackers to provide single source of truth visibility for operational and business teams.
  • Audit and improve data quality and reporting clarity, ensuring that metrics across the funnel-including sourcing, onboarding, and activation stages-are actionable.
  • Monitor performance KPIs through a robust and reliable reporting infrastructure.

Process Optimization & Strategy

  • Translate ambiguous, messy business problems into structured technical requirements for reporting or automation.
  • Design scalable, long-term workflows that balance speed and accuracy to deliver high-impact results.
  • Maintain a clear-headed approach under pressure to ensure technical solutions address long-term organizational goals rather than short-term fixes.

Cross-Functional Collaboration & Root Cause Analysis

  • Partner with Operations, Commercial, BI, and other cross-functional stakeholders to resolve operational blockers and improve funnel performance.
  • Investigate and resolve the underlying root causes of operational issues, moving beyond merely reporting symptoms to proactively improving systems.
  • Communicate complex technical concepts simply and effectively to diverse stakeholders to align on priorities and deliverables.
Requirements:

Educational Background & Experiences:

  • Bachelor's degree in Engineering, Computer Science, IT, Analytics, Economics, or related quantitative field
  • 2-3 years of professional work experience
  • Proven track record of building automations, scripts, or internal dashboards that solve real-world business problems
  • Experience working in ambiguous or fast-changing environment

Knowledge and Skills:

  • Advanced SQL: Proficiency in complex data extraction and validation to transform unstructured data into clean, actionable reporting.
  • Python: Working knowledge for developing end-to-end automation, reporting, and data workflows.
  • Data Fundamentals: Strong mastery of Excel and Google Sheets for rapid prototyping and data management.
  • Strategic Communication: Ability to interface with diverse stakeholders and translate technical outputs into business value
  • Mindset: Highly self-driven, execution-focused, and possessing a strong ownership mindset to operate independently with minimal instruction.

Preferred but not required:

  • Experience in Operations, Logistics, E-commerce, BI, or Startups
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