Jazwares, a subsidiary of Alleghany Capital Corporation, is a leading global toy company, recently expanding into the costumes and pets category. Jazwares’ portfolio includes a variety of dynamic licensed and wholly owned brands. The Jazwares Game Studio further expands play opportunities for kids within the Metaverse. Jazwares celebrates 25 years of innovative play with expertise in design, development, and manufacturing. An award-winning company with a progressive focus on identifying new trends, Jazwares then transforms them into high-quality products for consumers of all ages.

Headquartered in Sunrise, FL, Jazwares has offices around the world and sells its products in more than 100 countries. Since its inception in 1997, Jazwares continues to grow through the development of new products and the strategic acquisitions of companies. For more information about Jazwares, please visit www.jazwares.com.

The IBP Data Analyst position is needed to ensure the company is enabled to make smart business decisions with the reliable data from the new planning software (Arkieva). This role will conduct comprehensive data analysis by combining and analyzing data from various databases and sources and provide actionable recommendations for areas of improvement. This role will leverage the technical expertise and business knowledge to maximize the company's investment in the planning software and process improvement.

What you will do:

• Perform data analysis from the planning software (Arkieva) and diagnose discrepancies or missing data elements connected to the ERP system and other sources.
• Act as the main point of contact to run complex data analysis, monitor both master and transactional data quality in Arkieva and suggest valuable suggestions with diagnostic reports.
• Partner with IT, Business Intelligence and other functional business owners to identify anomalies within a data set, researching underlying causes, and designing or recommending solutions to the teams.
• Support the Planning team to test system enhancements, data pipeline changes, other user requests to verify the results in the development environment before moving to the production environment.
• Work closely with the Sales & Planning team to gather market intelligence and sales insights to ensure the stat forecast model in Arkieva provides the acceptable results.
• Assume responsibility for the entire lifecycle of a data project, including planning, data ingestion, quality assurance and preparation for visualization or/and reports.

What we are looking for:

• Bachelor's degree or above in data science, data engineering or/and business management fields preferred
• Minimum 2 years of working experience in data analysis, statistics, data modeling related work after graduation
• Passionate about the benefits of accurate and actionable data, driving consistency and enjoy partnering with others to accomplish the task.
• Solutions-oriented critical thinker.
• Deep technical knowledge and experience in data analysis, data quality management, and/or data governance.
• Strong influencer to help build and foster strong business relationships, leveraging those relationships to seek consensus amongst IT, Business Intelligence, Finance and Sales/Planning Teams.
• Ability to translate business issues and requirements into actionable plans, and to deliver against those plans.
• Have exceptional ability to make timely and effective decisions to meet fluid deadlines.
• Capable to work autonomously and make independent decisions to meet deliverables with minimal oversight.
• Passionate about continuous improvement with a strong desire to continue learning in order to stay relevant to business changes and industry trends.
• Able to effectively handle and maintain confidential information.
• Experience with Data analysis, reporting, and visualization tools such as Excel, Tableau, and Power BI.
• Proficient in SQL with a thorough understanding of data and systems' infrastructures.
• Can keep up with the fast-growing business pace, be brave for pressure and flexible for changes.