Data Analyst

Jasper South Corp.; Columbus (OH); Presencial; USD 65.000 - 90.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Health insurance

Retirement plans

Opportunities for professional develop

Descripción de la vacante

Jasper South Corp. is seeking a Data Analyst in Columbus, OH to analyze data, build models, and deliver actionable insights that influence operational decisions.

You will collect, clean, and interpret data, producing reports and dashboards with Tableau or Power BI to communicate findings to stakeholders. The role collaborates with engineers, production managers, and other teams in a modern Columbus workplace, offering a negotiable salary and a benefits package including health insurance,

Formación

• Bachelor's degree in a data-related field or equivalent
• Experience with data analysis and portfolio of projects
• Proficiency in SQL, Python, and R; strong data visualization skills

Responsabilidades

• Collect, clean, and analyze large datasets to identify trends and insights.
• Develop data models to support business decisions.
• Create reports and dashboards to visualize data for stakeholders.
• Collaborate with cross-functional teams to meet business needs.
• Stay updated with industry trends to enhance analytics capabilities.
• Ensure data accuracy and integrity through validation processes.

Conocimientos

Analytical thinking

Communication

Problem-solving

Educación

Bachelor's degree in Data Science/Statistics/Math

Herramientas

SQL

Python

R

Tableau

Power BI

Descripción del empleo

Jasper South Corp. is seeking a Data Analyst in Columbus, OH for a FULL_TIME position with a negotiable salary. This role involves analyzing data to support operational decisions and enhance excellence.

The Data Analyst will collect, process, and interpret complex data from various sources, such as databases, spreadsheets, and online platforms, to identify trends and patterns. They will use statistical methods and data analysis tools to clean, transform, and analyze the data, ensuring its accuracy and reliability. The Data Analyst will then create reports and dashboards using visualization tools like Tableau or Power BI to present the insights in a clear and compelling manner. These reports and dashboards will help stakeholders understand the data's implications and support decision-making processes by providing actionable insights and recommendations.

The Data Analyst will collaborate with cross-functional teams in a modern workplace in Columbus, OH. They will work closely with engineers, production managers, and other stakeholders to drive data-driven improvements.

The salary for this role is negotiable, reflecting the company's commitment to fair compensation and recognizing the value of the candidate's skills and experience. In addition to the base salary, employees are entitled to a comprehensive benefits package that includes health insurance, retirement plans, and opportunities for professional development. This package aims to support the overall well-being and career growth of the employees, fostering a positive and productive work environment.

• health insurance
• retirement plans
• opportunities for professional development

The ideal candidate will have a bachelor's degree in Data Science, Statistics, or a related field. They should have experience with data analysis tools like SQL, Python, or R. Familiarity with data visualization tools like Tableau or Power BI is a plus.

What you will do:

1. Collect, clean, and analyze large datasets to identify trends and insights.
2. Develop and maintain data models to support business decision-making.
3. Create reports and dashboards to visualize data and communicate findings to stakeholders.
4. Collaborate with cross-functional teams to understand business needs and provide data-driven solutions.
5. Stay up-to-date with industry trends and emerging technologies to enhance our data analytics capabilities.
6. Ensure data accuracy and integrity through rigorous validation processes.

What we need:

1. A bachelor's degree in Data Science, Statistics, Mathematics, or a related field.
2. Proven experience as a Data Analyst or similar role, with a strong portfolio of projects.
3. Proficiency in SQL, Python, and R, with experience in data visualization tools such as Tableau or Power BI.
4. Strong problem-solving skills and the ability to work independently and as part of a team.
5. Excellent communication and presentation skills to effectively convey insights to stakeholders.
6. Knowledge of manufacturing processes and industry standards is a plus.