Onsite Interpreter 2

At Prisma, we are committed to harnessing the power of data to transform the retail experience. As we continue to grow our analytics team, we seek a dynamic and detail-oriented individual to join us in a key position focused on data interpretation and insight generation. This role offers the unique opportunity to dive deep into complex datasets, facilitate the decision-making process, and play a crucial part in shaping the strategic direction of the company. The successful candidate will collaborate with cross-functional teams to provide data-driven recommendations that support our business objectives. Your expertise in data mining, statistical analysis, and predictive modeling will enable you to deliver actionable insights and drive continuous improvement across various departments. At Prisma, we foster a culture of innovation and excellence, and we are looking for someone who thrives in a fast-paced environment and is passionate about leveraging technology to solve real-world problems. If you are ready to take your career to the next level and make a tangible impact on our organization, we want to hear from you.

Responsibilities

• Analyze large datasets to extract meaningful insights and trends.
• Collaborate with cross-functional teams to understand their data needs and provide actionable recommendations.
• Develop and implement data models to support predictive analytics initiatives.
• Prepare and present reports and presentations to stakeholders, highlighting key findings and recommendations.
• Ensure data quality and integrity by performing regular data audits and maintenance.
• Stay current with industry trends and best practices in data analysis and visualization tools.
• Assist in the development of data-driven strategies that align with business goals.

Requirements

• Bachelor’s degree in Data Science, Statistics, Mathematics, or a related field.
• Proven experience in data analysis and visualization, preferably in a retail environment.
• Proficiency in statistical software and tools such as R, Python, or SQL.
• Strong analytical and problem-solving skills with attention to detail.
• Excellent communication skills, both verbal and written, with the ability to convey complex information clearly.
• Experience with data visualization tools such as Tableau or Power BI.
• Ability to work collaboratively in a team environment and manage multiple projects simultaneously.