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Cedar Juniper Inc., a fintech startup in Boston, MA, is seeking a Data Analyst for a full-time role. You will analyze data, create visualizations, and deliver data-driven recommendations to help cross-functional teams understand business needs.
Join a collaborative, innovative workplace in Boston with opportunities for growth and a comprehensive benefits package. The position reviews applications on a rolling basis until December 8, 2026.
Cedar Juniper Inc., a fintech startup in Boston, MA, seeks a Data Analyst for a full-time position. The role involves analyzing data and providing actionable insights.
As a Data Analyst, you will work with complex datasets, create visualizations, and deliver data-driven recommendations. You will collaborate with cross-functional teams to understand business needs and provide tailored solutions.
You will join our team in Boston, MA, a bustling city known for its rich history, vibrant culture, and diverse population. Here, you will work alongside talented professionals in a collaborative and innovative workplace, where ideas are shared freely and creativity is encouraged. The office environment is designed to foster teamwork and productivity, with open spaces that promote interaction and a relaxed atmosphere that supports work-life balance. You will have the opportunity to learn from and collaborate with experts in your field, contributing to a dynamic and supportive work environment.
The annual salary for this position falls within a range of $130,000 to $142,786, providing a competitive compensation package. In addition to the base salary, the role offers a comprehensive benefits package that includes health insurance, retirement plans, and possibly other perks such as paid time off and professional development opportunities. These benefits are designed to support the candidate's overall well-being and career growth. Further details about the benefits will be provided and discussed in depth during the interview process to ensure a clear understanding of the total compensation offered.
Applicants should have a strong background in data analysis, with experience in SQL, Python, and data visualization tools. A degree in a related field and a proven track record of delivering data-driven insights are required.
The applications will be reviewed on a rolling basis, ensuring that the most suitable candidates are considered promptly. This process allows for a more efficient and responsive selection, as each application is evaluated as it is received. The position remains open and available for application until December 8, 2026, providing ample time for interested individuals to submit their materials.