Data Analyst at Procter & Gamble Company

Seoul, Seoul, South Korea

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Not SpecifiedCompensation

Junior (1 to 2 years), Mid-level (3 to 4 years)Experience Level

Full TimeJob Type

UnknownVisa

Consumer Goods, FMCGIndustries

Requirements

Data management and strong visualization skills/tools in one or more of the following: PowerBI, Databricks, SQL, KNIME, Tableau, MP/SPSS or similar
Minimum 1 year of full-time work experience
Bachelors or Master’s degree in quantitative field (Operation Research, Computer Science, Engineering, Applied Math, Statistics, Physics, Analytics, etc.) or equivalent work experience
Experience using analytics techniques (AI/Machine Learning, Econometrics, Operations Research, Statistics, Root Cause Diagnostics) to tackle defined business problems
Strong interpersonal skills and ability to engage multifunctional teams and leadership teams
Self-motivated to work with diverse business scenarios, prioritizing multiple priorities, and have a business and consultancy mind-set, while technically (data) savvy, and passionate about discovering new/innovative ways of doing things

Responsibilities

Develop business cases and insights within Data & Analytics
Build data & analytics solutions in Databricks, Power BI– craft technical solutions from approved architecture to acquire, process, store and provide insights based on the processed data
Data Collection and Cleaning: Gather data from various sources, ensuring its accuracy and completeness. This includes cleaning and preprocessing the data to remove inconsistencies and errors
Reporting and Visualization: Automate/Create reports and visualizations to effectively communicate findings to stakeholders. This may involve using tools like Tableau, Power BI, or Excel to present data in a clear and actionable format
Automation: Leverage technology for automated data fetching, processing, aggregation & syndication leading to real-time information flows and democratization of data access
Data Analysis and Interpretation: Analyze datasets using statistical techniques and tools to identify trends, patterns, and insights that can inform business decisions
Framing the Right Question: Assess business challenges with objectivity and identify the most important questions to be answered to drive the right business action. Look beyond the obvious and understand the real business issue
Influence Decision Makers: Influence decision makers and top management to act in a way that drives positive business change. You will take accountability for what you believe is right for shoppers and the business, even as a new hire
Collaboration with Teams: Work closely with cross-functional teams, such as marketing, finance, and operations, to understand their data needs and provide analytical support for strategic initiatives
Continuous Improvement: Stay updated on industry trends and emerging technologies in data analysis, and suggest improvements to data collection processes and analytical methodologies to enhance overall efficiency and effectiveness