Advisory

Celestica International Taipei City, Taiwan

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Advisor, Product Data

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Date: Jul 8, 2026

Location: Taipei, TPQ, TW

Company: Celestica International LP

Advisor, Product Data

General Overview

Functional Area: FIN - Finance
Career Stream: ARC - System Support/Process Architecture
Role: Advisory
SAP Short Name: ADV
Job Title: Financial Systems Advisor
Job Code: ADV-FIN-SYS
Job Level: Band 09
Direct/Indirect Indicator: Indirect

Summary

We are seeking a detail-oriented Business Data Analyst to support our Hardware Platform Solutions - Product and Marketing team. The successful candidate will assist with data collection and dashboard creation to help drive business decisions, product strategy, and operational efficiency.

Detailed Description

Collect, validate, and analyze and interpret data from multiple systems and databases.
Develop and maintain reports, dashboards, and KPIs related to performance, revenue, profitability, pricing and market trends.
Perform data analysis to identify trends, opportunities, and business insights.
Develop financial dashboards including revenue tracking, profitability reporting, inventory and forecasting
Support product managers with product portfolio analyses, pricing strategies, demand forecasting and business case development.
Create and maintain Microsoft and Google-based tools, reports, and models using Pivot Tables and advanced formulas.
Assist in preparing business reviews, presentations, and management reports.
Ensure data accuracy and consistency across reporting platforms.
Collaborate with cross-functional teams including Sales, Finance, Operations, and Marketing.
Initiate process and data flow optimization, and drive change management toward continuous
improvement and leveraging AI and new systems

Knowledge/Skills/Competencies

Bachelor’s degree or diploma in Business, Data Analytics, Statistics, Economics, Computer Science, or a related field.
Experience in data analysis, financial analyses, business analytics or reporting.
Proficiency in SQL for data extraction, manipulation and analyses.
Advanced Microsoft Excel / Google sheets skills, including Pivot Tables, VLOOKUP/XLOOKUP,
INDEX/MATCH data validation, and financial modeling.
Experience with data visualization tools such as Power BI is an asset.
Strong analytical and problem-solving skills.
Excellent attention to detail and organizational abilities.
Effective written and verbal communication skills.

Preferred Skills

Understanding of revenue, gross margin, operating expenses, ROI and financial performing
metrics.
Experience working with ERP systems such as SAP, or CRM systems such as Microsoft
Dynamics 365 or Salesforce, or business intelligence systems.
Ability to translate complex financial and operational data into actionable business recommendations.
Familiarity with pricing analyses and market intelligence.

Physical Demands

Duties of this position are performed in a normal office environment
Duties may require extended periods of sitting and sustained visual concentration on a computer monitor or on numbers and other detailed data
Repetitive manual movements are frequently required (e.g. data entry, using a computer mouse, using a calculator, etc)
Occasional overnight travel may be required

Typical Experience

Six to eight years of relevant experience

Typical Education

Bachelor degree in related field (Accounting or IT), or consideration of an equivalent combination of education and experience
Strongly recommend combination of accounting and IT education
Education experience may vary by geography.

Notes

This job description is not intended to be an exhaustive list of all duties and responsibilities of the position. Employees are held accountable for all financial related duties of the job. Job duties and the % of time identified for any function are subject to change at any time.

Advisor, Product Data

Key Responsibilities

Collect, validate, and analyze and interpret data from multiple systems and databases.
Develop and maintain reports, dashboards, and KPIs related to performance, revenue, profitability, pricing and market trends.
Perform data analysis to identify trends, opportunities, and business insights.
Develop financial dashboards including revenue tracking, profitability reporting, inventory and forecasting
Support product managers with product portfolio analyses, pricing strategies, demand forecasting and business case development.
Create and maintain Microsoft and Google-based tools, reports, and models using Pivot Tables and advanced formulas.
Assist in preparing business reviews, presentations, and management reports.
Ensure data accuracy and consistency across reporting platforms.
Collaborate with cross-functional teams including Sales, Finance, Operations, and Marketing.
Initiate process and data flow optimization, and drive change management toward continuous improvement and leveraging AI and new systems.

Qualifications

Bachelor’s degree or diploma in Business, Data Analytics, Statistics, Economics, Computer Science, or a related field.
Experience in data analysis, financial analyses, business analytics or reporting.
Proficiency in SQL for data extraction, manipulation and analyses.
Advanced Microsoft Excel / Google sheets skills, including Pivot Tables, VLOOKUP/XLOOKUP, INDEX/MATCH data validation, and financial modeling.
Experience with data visualization tools such as Power BI is an asset.
Strong analytical and problem-solving skills.
Excellent attention to detail and organizational abilities.
Effective written and verbal communication skills.

Preferred Skills

Understanding of revenue, gross margin, operating expenses, ROI and financial performing metrics.
Experience working with ERP systems such as SAP, or CRM systems such as Microsoft Dynamics 365 or Salesforce, or business intelligence systems.
Ability to translate complex financial and operational data into actionable business recommendations.
Familiarity with pricing analyses and market intelligence.

Job Segment: Business Intelligence, CRM, SQL, Database, ERP, Technology

Apply Now
Start applying with LinkedIn Start applying with LinkedIn
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