Specialist, Data Analytics

Pandora • English • Consumer Goods • Jewelry • Python • SQL • Power BI • Azure Data Factory • 14 days ago

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Salary

≈ $6k – $15k per year (Estimated)

Location

In office (Bangkok)

Seniority

Junior · 2+ years exp

Confirmed on the employer's own hiring board on Oct 12, 2026. First seen by Alion on Sep 29, 2026.

Overview

Company

Impact

Profile match

Pandora

Pandora is a Danish jewellery company headquartered in Copenhagen that designs, crafts and markets hand-finished jewellery such as charms, bracelets, rings and lab-grown diamond pieces under the Pandora brand. It sells in more than 100 countries through about 7,000 points of sale, including more than 2,800 concept stores, employs around 39,000 people and crafts its jewellery in Thailand and Vietnam. Its careers board lists store managers and sales assistants across Europe, North America and Australia, plus manufacturing, quality and lean engineering roles in Thailand.

pandoragroup.com • HQ: Copenhagen, Denmark • Jewelry • 5000+ employees • Est. 1982

Tech stack of Pandora

Data Analyst, Manufacturing Excellence

We are looking for a Data Analyst to join our Manufacturing Excellence team and turn manufacturing data into insights that drive better decisions and measurable improvements across our operations.

We love that you bring...

2-5 years of experience in Data Analytics, Business Intelligence, or Manufacturing Performance Analysis
Strong skills in Power BI, DAX, SQL, Excel, and data visualization
Experience building dashboards, analytical models, and automated reporting solutions
Strong analytical and problem-solving skills, with the ability to identify trends, root causes, and improvement opportunities
Understanding of manufacturing KPIs such as OEE, yield, scrap, downtime, cycle time, productivity, capacity, and plan vs. actual
Experience working with cross-functional teams and translating business questions into practical data solutions
Good communication skills in English and the ability to work with both Thai and international stakeholders
Experience with Python, R, Microsoft Fabric, Databricks, or Azure Data Factory is a plus
A curious, structured, collaborative, and proactive mindset

What you will do

Analyze production, quality, maintenance, material, labor, capacity, and cost data to identify performance gaps and improvement opportunities
Develop and maintain Power BI dashboards, data models, and standard reports
Perform root-cause, variance, correlation, forecasting, and scenario analysis to support business decisions
Build and maintain a trusted manufacturing data foundation, including KPI definitions, data models, data dictionaries, and data-quality controls
Partner with Production, Engineering, Quality, Maintenance, Planning, Finance, and Digital teams to turn data insights into improvement actions
Support strategic Manufacturing Excellence projects from data analysis and requirements gathering through implementation and benefit tracking
Help standardize manufacturing KPIs and improve data quality, reporting consistency, and data-driven decision making

If you are passionate about turning data into meaningful business impact and enjoy working closely with manufacturing teams, we would love to hear from you.

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