Entry level Data Analyst

4 weeks ago


Arkansas City, United States Fullerton Ford Full time

With a team of highly skilled professionals, we are committed to delivering cutting-edge data analytics of ourservices to our clients. Our goal is to help businesses make decisions and achieve their objectives through the power of data.

Job Description:

We are seeking a highly motivated Entry Level Data Analyst to join our team at Fullerton Ford. As an Entry Level Data Analyst, you will be responsible for collecting, analyzing, and interpreting to help our clients make informed decisions. You will work closely with our team of data analyst to identify trends, patterns, and insights from data, and present them in a clear and concise manner.

Key Responsibilities:

- Collect, clean, and organize large datasets from various sources

- Use statistical methods to analyze data and identify trends, patterns, and insights

- Create data visualizations and reports to present findings to clients

- Collaborate with team members to develop and implement data-driven strategies

- Continuously monitor and improve data quality and accuracy

- Stay up-to-date with industry trends and advancements in data analytics

Requirements:

- Strong analytical and problem-solving skills

- Proficiency in SQL and data visualization tools (e.g. Tableau, Power BI)

- Knowledge of statistical analysis and data mining techniques

- Excellent communication and presentation skills

- Ability to work in a fast-paced and dynamic environment

- Attention to detail and ability to handle multiple tasks simultaneously

Why work with us?

- Collaborative and supportive work environment

- Competitive salary and benefits package

- Professional development and growth opportunities

- Chance to make a real impact and contribute to the success of our clients

If you are passionate about data and have a strong desire to learn and grow in the field of data analytics, we would love to hear from you. Join our team at Fullerton Fordand be a part of our exciting journey towards shaping the future of data analytics.

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