Data Analyst in Abanaka, Ohio at MAYVON

We are seeking a meticulous and highly analytical Data Analyst to join our dynamic team. In this role, you will be responsible for transforming data into actionable insights that drive strategic decision-making and business growth. The ideal candidate will have a strong foundation in data analytics, excellent problem-solving skills, and the ability to work collaboratively across departments. You will be tasked with collecting, processing, and performing statistical analyses on large datasets, creating comprehensive reports and dashboards that inform operational performance. This position offers a unique opportunity to work in a fast-paced environment, leveraging data to identify trends, improve processes, and enhance overall business intelligence. If you are passionate about data, enjoy uncovering patterns, and have a keen eye for detail, this role will allow you to make a significant impact. We value innovative thinking, strategic analysis, and a commitment to continuous learning, and we are excited to welcome a new team member who shares these values and is eager to contribute to our success.

• Collect, clean, and validate data from multiple sources to ensure accuracy and completeness.
• Analyze large datasets to identify trends, patterns, and insights that support business objectives.
• Develop, maintain, and improve dashboards and visualizations for tracking key performance indicators.
• Collaborate with cross-functional teams to understand data needs and provide analytical support.
• Prepare detailed reports and presentations to communicate findings to stakeholders and leadership.
• Identify opportunities for process improvements and provide data-driven recommendations.
• Stay up-to-date with industry trends, tools, and best practices in data analysis and visualization.

• Bachelor’s degree in Data Science, Statistics, Computer Science, Economics, or a related field.
• Proven experience as a Data Analyst or in a similar analytical role.
• Proficiency in SQL for data extraction and manipulation.
• Strong skills in data visualization tools such as Tableau, Power BI, or similar platforms.
• Experience with statistical analysis and familiarity with programming languages like Python or R.
• Excellent critical thinking, problem-solving, and communication skills.
• Ability to work independently and collaboratively in a fast-paced, team-oriented environment.