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Cedar National Group, based in Riverside, CA, seeks a Data Analyst to turn data into actionable insights. You will analyze large datasets, build reports and dashboards, and partner with cross-functional teams to inform business decisions.
The role emphasizes data-driven decision making in a collaborative Riverside office with opportunities to mentor teammates and contribute to a growing analytics culture. Qualifications include a Bachelor's in a related field and experience with SQL, Python, R,
Cedar National Group, based in Riverside, CA, seeks a Data Analyst for a FULL_TIME position. The salary range is $140,000 to $194,471, and the role is open until November 23, 2026.
As a Data Analyst, you will analyze data to uncover insights and trends. You will create reports and dashboards to visualize data. You will collaborate with other departments to understand data needs. You will provide data-driven recommendations to support business decisions.
You will work in a collaborative environment with a growing team in Riverside, California. The workplace is a modern office space in the heart of Riverside, known for its vibrant community and diverse population. The team is data-driven, with a strong emphasis on analytics and decision-making based on data. They value contributions from all team members, fostering an inclusive and supportive atmosphere. The team works on various projects, ranging from data analysis to software development, all aimed at solving real-world problems. They collaborate closely, sharing ideas and feedback to ensure the best possible outcomes. The workplace culture is one of continuous learning and improvement, with regular training sessions and workshops to help team members grow and develop their skills.
You should have a bachelor's degree in data analysis, statistics, or a related field. You should have experience with data analysis tools like SQL, Excel, and Tableau. You should have strong problem-solving skills and attention to detail. You should be able to communicate complex data insights clearly.