Senior Product Analyst

Data & Business Intelligence Analyst

Business Support Supervisor II

Responsibilities: <ul><li>Elicit, analyze, and translate user needs into detailed, actionable requirements for the pod</li><li>Define and manage use cases, user stories, process flows, and visualizations to support development</li><li>Partner with design and engineering to explain functional requirements and continuously improve user experience</li><li>Maintain a backlog that stays 2–3 sprints ahead, ensuring clear Definitions of Ready and Done for all features</li><li>Communicate product vision and requirements effectively to developers, testers, and stakeholders</li><li>Support User Acceptance Testing by writing UAT scripts and participating in testing cycles as needed</li><li>Document confirmed business processes to serve as reference for development and IT support teams</li><li>Apply business process improvement methodologies to optimize workflows and system efficiency</li><li>Collaborate closely with the Product Manager to ensure backlog priorities align with business objectives</li><li>Track delivery metrics and build reports to measure progress, quality, and outcomes</li><li>Manage cross-pod dependencies in partnership with the Technical Product Manager</li><li>Ensure compliance with applicable standards by maintaining SDLC documentation, system configurations, and audit artifacts</li><li>Maintain a strong understanding of the IT application portfolio, developing deep expertise in specific products or BPM domains</li><li>Support and facilitate system demonstrations, including Inspect &amp; Adapt workshops, as required</li></ul> Requirements: <ul><li>Proven knowledge and understanding of standard practices, technology and supporting industry principles</li><li>Experience gathering requirements and translating into a product vision by leveraging their expertise in product development, engineering and UX</li><li>Deep understanding of business/processes and high-level understanding of high-quality digital product delivery</li><li>Experienced in managing a product backlog/release plan, tracking team level metrics, attend product team ceremonies, removing blockers (burndown chart, release burn up, etc.)</li><li>Experienced in developing systems and tools to enable customer interactions and collaboration (e.g., digital self, precision marketing, DAM, immersive technology)</li></ul>

Responsibilities: <ul><li>Dashboard Design and Development: Design, develop, and maintain interactive and user-friendly dashboards in PowerBI and Looker, focusing on clarity, performance, and data accuracy.&nbsp;</li><li>Data Lake Integration: Connect to and leverage data from various data lake sources on GCP, ensuring seamless data flow for visualization purposes.&nbsp;</li><li>Semantic Model Development: Develop and maintain robust semantic models in Looker (LookML) and PowerBI, ensuring data consistency, accuracy, and ease of use for reporting and analysis. This includes defining dimensions, measures, relationships, and calculations.&nbsp;</li><li>Machine Learning and GenAI Visualization: Create compelling visualizations to effectively communicate the results, performance, and insights derived from machine learning models and GenAI applications. This may involve visualizing model predictions, feature importance, natural language processing outputs, and other relevant data.&nbsp;</li><li>GCP Expertise: Utilize your strong understanding of GCP services to access, process, and prepare data for visualization. This may involve working with services such as BigQuery, Cloud Storage, and potentially data engineering pipelines built on GCP.&nbsp;</li><li>Collaboration: Partner closely with data scientists, data engineers, product managers, and business stakeholders to understand their data visualization needs and translate them into effective visual solutions.&nbsp;</li><li>Requirements Gathering: Elicit and document visualization requirements from various stakeholders, ensuring alignment with business objectives.&nbsp;</li><li>Performance Optimization: Optimize dashboard and visualization performance to ensure fast load times and efficient data rendering.&nbsp;</li><li>Data Quality Assurance: Ensure the accuracy, consistency, and reliability of data presented in visualizations.&nbsp;</li><li>Best Practices and Standards: Establish and enforce data visualization best practices and standards across the organization.&nbsp;</li><li>Training and Support: Provide guidance and support to other team members on data visualization tools and techniques.&nbsp;</li><li>Continuous Learning: Stay up to date with the latest trends and advancements in data visualization, PowerBI, Looker, GCP, and related technologies, particularly in the context of AI/ML.&nbsp;</li></ul>&nbsp;Requirements: <ul><li>Bachelor’s or master’s degree in computer science, Data Science, Statistics, Information Systems, or a related field.&nbsp;</li><li>Minimum of 3 years of experience as a Visualization Expert, Data Visualization Engineer, or a similar role.&nbsp;</li><li>Proven expertise in designing and developing interactive dashboards and reports using PowerBI and Looker.&nbsp;</li><li>Strong experience in connecting to and working with data lakes, preferably on the Google Cloud Platform (GCP).&nbsp;</li><li>Solid understanding and hands-on experience in developing semantic models, particularly with LookML in Looker and data modeling within PowerBI.&nbsp;</li><li>Preferable experience in creating visualizations specifically for machine learning and GenAI applications, understanding the nuances of presenting model outputs and insights.&nbsp;</li><li>Proficiency in SQL for data extraction and manipulation.&nbsp;</li><li>Familiarity with data warehousing concepts and data modeling techniques.&nbsp;</li><li>Experience with data preparation, ELT (preferred) / ETL processes.&nbsp;</li><li>Strong analytical and problem-solving skills with the ability to interpret complex data.&nbsp;</li><li>Excellent communication and presentation skills, with the ability to convey technical information to both technical and non-technical audiences.&nbsp;&nbsp;</li><li>Ability to work independently and collaboratively in a fast-paced environment.&nbsp;&nbsp;</li><li>Strong portfolio showcasing your data visualization skills and experience.&nbsp;</li></ul>

Responsibilities: Administrative Support: <ul><li>Provide administrative support to the Plant Manager, including calendar management, scheduling meetings, and arranging travel.</li><li>Prepare and manage correspondence, reports, presentations, and other documents as needed.</li><li>Manage the plant manager’s communications and act as a point of contact for both internal and external stakeholders.</li></ul> Document Management: <ul><li>Maintain and organize important plant records&nbsp;</li><li>Assist in the preparation and tracking of reports related to plant performance, operational costs, and production targets.</li><li>Ensure compliance with plant regulations and documentation standards.</li></ul> Coordination and Communication: <ul><li>Act as a liaison between departments ensures effective communication and smooth operations.</li><li>Coordinate plant-wide meetings, production schedules, and internal communications between staff and management.</li><li>Assist in the preparation and execution of plant meetings, taking minutes and ensuring follow-up on key action items.</li></ul> Data Analysis and Reporting: <ul><li>Assist in gathering, compiling, and analyzing plant performance data to help the Plant Manager&nbsp;</li><li>Prepare reports for the Plant Manager to track key performance indicators (KPIs), production performance, and safety metrics.</li></ul> Process Improvement: <ul><li>Assist with operational efficiency initiatives, providing administrative support to process improvement teams.</li><li>Help manage and track plant projects, ensuring they are completed on time and within budget.</li><li>Provide insights and suggestions to improve plant operations and reduce costs.</li></ul> Requirements: <ul><li>Bachelor’s degree in business administration, Management, or a related field.</li><li>Proven experience in administrative or business support roles, preferably in a manufacturing or industrial environment.</li><li>Strong organizational skills and the ability to prioritize multiple tasks.</li><li>Excellent communication skills (written and verbal).</li><li>Proficiency in Microsoft Office Suite (Excel, Word, PowerPoint).</li><li>Experience with data analysis and report generation is a plus.</li><li>Ability to work independently and as part of a team.</li></ul> Additional Skills: <ul><li>Knowledge of plant operations and manufacturing processes is advantageous.</li><li>Strong attention to detail and problem-solving skills.</li><li>Ability to handle confidential information with integrity.</li><li>Strong time-management skills and ability to meet deadlines</li></ul>

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Senior Product Analyst

Data & Business Intelligence Analyst

Business Support Supervisor II

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Senior Product Analyst

Data & Business Intelligence Analyst

Business Support Supervisor II

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