Data and Insights Coordinator

Florida Crystals / ASR Group•Boca Raton, FL

About The Position

The Product Data & Insights Coordinator reports directly to the Product Data Manager. This position is responsible for supporting New Product Development (NPD) by transforming product, quality, regulatory, and project data into clear, usable insights. This role maintains accurate information in SAP and Product Lifecycle Management (PLM), strengthens specification and data governance processes, and helps cross functional teams use these systems more effectively.

Requirements

Experience with ERP or PLM systems (SAP preferred).
Strong analytical skills and proficiency with SQL, BI tools (Power BI/Tableau), Python, or advanced Excel.
Strong communication skills and ability to work independently across multiple priorities.
ADAPTABILITY/FLEXIBILITY - Maintaining effectiveness in varying environments and with different tasks, responsibilities, and people. Ability to adjust to changes in context.
BUILD STRONG WORK RELATIONSHIPS - Seeks, listens to and acts on the input of people at all levels.
CONTINUOUS LEARNING - Actively identifying new areas for learning; regularly creating and taking advantage of learning opportunities; using newly gained knowledge and skill on the job and learning through their application.
DEPENDABILITY/RELIABILITY/RESPONSIBILITY - Taking responsibility for one’s action. Being known as someone that will deliver on their areas of responsibility and can be counted on, even under difficult circumstances.
FOCUS ON RESULTS - Persists in overcoming obstacles; Challenges people at all levels to exceed current levels of performance; Move people’s focus from analysis to action.
INITIATIVE - Self-starting rather than accepting passively; taking action to achieve goals beyond what is required; being proactive; asserting one's influence over events to achieve goals.
MANAGING COMPLEXITY - Keeping focused on key objectives and results when addressing the details of a situation. Makes timely decisions using available facts in ambiguous situations
PROCESS IMPROVEMENT - Ability to reduce waste, inefficiency; standardize or simplify activities to the benefit of the customer.
PROJECT MANAGEMENT - Managing resources, time, and scope in the completion of a set of activities which lead to the achievement of an objective(s).
SYSTEMATIC THINKING/ACTION - Understanding how things influence one another as a whole. Ability to manage inter-connections in a way that creates better processes.
TEAMWORK - Working effectively with team/work group or those outside the formal line of authority (e.g., peers, senior managers)
Bachelor’s degree in data Analytics, Business, IT, Computer Science, or a related field

Nice To Haves

Knowledge of the Food & Beverage, Consumer Packaged Goods (CPG) or Pharmaceutical industry is strongly preferred.
multilingual is preferred (English, Spanish, Portuguese)

Responsibilities

Extract, validate, and analyze data from SAP, PLM, and related systems.
Identify and resolve data gaps, inconsistencies, and quality issues.
Support ad hoc data needs for new products, reformulations, packaging changes, and regulatory/quality reviews.
Maintain accurate product and packaging specifications in PLM.
Ensure regulatory, quality, and technical attributes meet compliance and documentation requirements.
Support PLM workflow governance, approvals, and change management.
Train teams (Product Development, Regulatory, Quality, Supply Chain, Operations) on PLM and specification processes.
Develop job aids, guides, and best practice documentation to improve system adoption.
Act as a PLM resource for users across the organization.
Perform regular audits of PLM data, workflows, and documentation.
Identify areas for improvement and recommend process and system enhancements.
Support continuous improvement and stronger data governance.
Explore and support the extension of PLM/specification processes into Operations facilities.
Partner with Operations teams to assess readiness, documentation needs, and alignment with corporate standards.
Help improve consistency between corporate and facility level data practices.