Data Analyst, Supply Chain (Hybrid)

iRhythm Technologies, Inc.; Metro Manila; On-site; PHP 500,000 - 900,000; Full time

Job summary

iRhythm Technologies, Inc. in Metro Manila is seeking a Data Analyst, Supply Chain to support data analytics, reporting, dashboards, and business insights across the end-to-end Supply Chain.

You will partner with P2P, Demand Planning, Order Management, Logistics, and Inventory teams to translate data into actionable decisions, monitor performance, and drive continuous improvement through automation and governance.

Qualifications

• Bachelor’s degree in mathematics, CS, economics, or statistics.
• 3+ years of experience mining data as a data analyst.
• Analytics skills in mining, evaluation, and visualization.
• Advanced Excel skills and ability to learn other analytics tools.
• Proficiency in Tableau; knowledge of data warehouses (Snowflake) is a plus.

Responsibilities

• Develop, maintain, and enhance reports, dashboards, and KPI tracking tools for Supply Chain.
• Analyze large datasets to identify trends, risks, and improvement opportunities.
• Generate recurring and ad hoc reports for stakeholders.
• Ensure data accuracy and consistency across reporting platforms.
• Support governance and data quality efforts; document processes.

Skills

Data analytics

Data visualization

Advanced Excel

Tableau

Data storytelling

Education

Bachelor's degree in mathematics, computer science, economics, or statistics

Tools

Snowflake

SQL

Job description

The Data Analyst, Supply Chain is responsible for supporting data analytics, reporting, dashboard development, and business insights across the end-to-end Supply Chain organization. This role serves as a key partner to Supply Chain stakeholders by transforming complex data into actionable insights that improve operational performance, support decision-making, and drive continuous improvement initiatives.

The position supports analytics and reporting requirements across Procure-to-Pay (P2P), Demand Planning, Order Management, Logistics, Inventory Management, Supplier Management, and broader Supply Chain functions. The ideal candidate is a self-starter with strong analytical capabilities, intellectual curiosity, and a passion for solving business challenges through data.

Key Responsibilities:

Data Analytics & Reporting

• Develop, maintain, and enhance reports, dashboards, scorecards, and KPI tracking tools for Supply Chain operations.
• Analyze large datasets to identify trends, opportunities, risks, and process improvement recommendations.
• Generate recurring and ad hoc reports that provide meaningful insights to business stakeholders.
• Ensure data accuracy, integrity, and consistency across reporting platforms.

Business Intelligence & Insights

• Translate business requirements into analytical solutions that support operational and strategic decision-making.
• Conduct root cause analyses and provide data-driven recommendations to improve performance and outcomes.
• Monitor key Supply Chain performance metrics and proactively identify anomalies or emerging trends.
• Support data storytelling by presenting insights in a clear and actionable manner.

Supply Chain Functional Support

• Partner with stakeholders across:
• Procure-to-Pay (P2P)
• Demand Planning
• Order Management
• Logistics & Distribution
• Inventory Management
• Supply Chain Planning & Analytics
• Support business reviews through the preparation of metrics, performance analyses, and executive reporting materials.

Process Improvement & Automation

• Identify opportunities to automate reporting and streamline analytical processes.
• Support continuous improvement initiatives through data analysis and process performance measurement.
• Collaborate with cross-functional teams to implement sustainable reporting and analytics solutions.

Data Governance & Quality

• Maintain data quality standards and assist in resolving data discrepancies.
• Support governance efforts related to reporting structures, data definitions, and KPI standardization.
• Document reporting processes, methodologies, and business rules.

Qualifications and Requirements:

• Bachelor’s degree (or equivalent) in mathematics, computer science, economics, or statistics
• Three or more years of experience mining data as a data analyst
• Proven analytics skills, including mining, evaluation, and visualization
• Technical writing experience in relevant areas, including queries, reports, and presentations
• Advanced Excel Skills, with aptitude for learning other analytics tools
• Proficiency in Tableau Ability to maintain confidentiality based on access to proprietary financial, operational and competitive information.
• Familiarity with data warehouse systems, specifically Snowflake, is a huge plus.