Data Analyst

Procter & Gamble; Mason (OH); On-site; USD 60,000 - 80,000; Full time

Job summary

Procter & Gamble is seeking a Data Analyst located in Mason, Ohio. This role involves collecting, cleaning, and analyzing data to support business decisions. You'll employ statistical methods and data visualization tools to extract actionable insights and communicate complex data clearly to stakeholders.

The successful candidate must have strong analytical skills, proficiency in Python, R, SQL, and Excel, as well as knowledge of data modeling and cleaning techniques. This is a pivotal role that directly impacts business strategy.

Qualifications

• Proficient in using data analysis tools such as Python, R, SQL, and Excel.
• Experience in statistical methods and data modeling.
• Skilled in data cleaning and visualization techniques.

Responsibilities

• Collect and clean data from various sources.
• Perform data analysis and create reports.
• Develop data-driven solutions to business problems.

Skills

Strong analytical and problem-solving skills

Proficiency in data analysis tools such as Python, R, SQL, and Excel

Knowledge of statistical methods and data modeling

Expertise in data cleaning and preprocessing techniques

Data visualization proficiency using Tableau or Power BI

Excellent communication skills

Job description

Data Analyst

A Data Analyst collects, cleans, and analyzes data to identify trends and patterns that inform business decision‑making. They work with large datasets, employing statistical methods, data visualization techniques, and machine learning tools to uncover actionable insights. Data Analysts play a crucial role in helping businesses make informed decisions about their products, services, and marketing campaigns.

Job duties include collecting and cleaning data from various sources, performing data analysis using statistical methods and software, creating reports and presentations to communicate findings, and developing data‑driven solutions to business problems.

Skills and Qualifications

• Strong analytical and problem‑solving skills
• Proficiency in data analysis tools such as Python, R, SQL, and Excel
• Knowledge of statistical methods and data modeling
• Expertise in data cleaning and preprocessing techniques
• Data visualization proficiency using tools like Tableau or Power BI
• Excellent communication skills to convey complex data insights to non‑technical stakeholders

Optional skills that may be helpful for a Data Analyst include programming skills in languages such as Python or R, knowledge of machine learning and artificial intelligence techniques, experience with cloud computing platforms, and domain knowledge in specific industries.

A Data Analyst should have the ability to work independently and as part of a team, exhibit attention to detail, and possess a strong curiosity and passion for data analysis. They play a critical role in uncovering insights that drive effective decision‑making and business success.

Database Administrator

A Database Administrator (DBA) is responsible for the installation, configuration, maintenance, and security of database systems. They ensure databases are available, reliable, and performant. DBAs also work to protect databases from unauthorized access and data breaches.

• Strong understanding of database concepts and technologies, such as relational databases, SQL, and database management systems
• Experience with database administration tools and utilities
• Ability to work with large datasets and complex queries
• Excellent problem‑solving and troubleshooting skills
• Ability to work independently and as part of a team
• Programming skills (Python, R)
• Knowledge of cloud computing platforms
• Domain knowledge in relevant industries