[Remote] Data Analyst
Note: The job is a remote job and is open to candidates in USA. Procter & Gamble is seeking a curious, thoughtful Data Analyst to turn business data into actionable insights. The role involves analyzing trends, building reports and dashboards, validating data, communicating findings, and supporting data-driven decisions across teams.
Responsibilities
- Analyze data to identify trends, patterns, opportunities, and areas that need attention
- Build and maintain reports, dashboards, and regular business insights
- Work with stakeholders to understand their questions and translate them into practical analysis
- Clean, organize, and validate data to make sure it is accurate and reliable
- Use SQL, Excel, and data visualization tools to explore and communicate findings
- Present your findings clearly to both technical and non-technical audiences
- Work closely with teams across the business to support data-driven decisions
- Look for ways to improve existing reports, processes, and how we use data
- Take ownership of your work while asking questions when you need context or clarification
Skills
- • Experience working as a Data Analyst or in a similar analytical role
- • Strong SQL and Excel skills
- • Experience with a visualization or BI tool such as Power BI, Tableau, or Looker
- • Strong attention to detail and a practical approach to problem-solving
- • The ability to explain complex information in a simple, clear way
- • Good communication skills and the confidence to work with people across different teams
- • A naturally curious mindset—you like to understand the “why” behind the numbers
- • The ability to manage multiple priorities and work independently
- • Experience with Python or another programming language used for data analysis
- • Experience working with large or complex datasets
- • Knowledge of statistics and basic analytical techniques
- • Experience working with cloud data platforms or data warehouses
- • Experience in our industry or with similar business problems
Company Overview
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