Data Analyst, Supply Chain (Hybrid) 23 days ago

iRhythm; Metro Manila; On-site; PHP 500,000 - 800,000; Full time

Job summary

iRhythm seeks a Data Analyst for Supply Chain to support data analytics, reporting, dashboard development, and business insights across P2P, Demand Planning, Order Management, Logistics, and Inventory Management. You will transform complex data into actionable insights to improve operational performance and drive continuous improvement initiatives.

The ideal candidate is a self-starter with strong analytical capabilities and curiosity, capable of delivering data storytelling and executive

Qualifications

• Bachelor’s degree in a mathematical, CS, economics or statistics field.
• 3+ years of experience mining data as a data analyst.
• Proven analytics, evaluation and visualization skills.
• Advanced Excel with ability to learn other tools.

Responsibilities

• Perform data analytics & reporting across Supply Chain operations.
• Develop, maintain dashboards, scorecards and KPI trackers.
• Ensure data accuracy, integrity and consistency across platforms.
• Translate requirements into analytical solutions for decision-making.
• Conduct root cause analyses and present data-driven recommendations.

Skills

Data analysis

Dashboarding

Excel

Tableau

SQL

Snowflake

Education

Bachelor's degree

Tools

Snowflake

Job description

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 Supplier/Vendor 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.