Customer Solutions Analyst

2 months ago


Macquarie Park, Australia BD Full time

**Job Description Summary**: We have a 6-month fixed term contract role for a Customer Solutions Analyst to support with a crucial project, based in Macquarie Park.

We are **the makers of possible**

BD is one of the largest global medical technology companies in the world. _Advancing the world of health_ is our Purpose, and it’s no small feat. It takes the imagination and passion of all of us—from design and engineering to the manufacturing and marketing of our billions of MedTech products per year—to look at the impossible and find transformative solutions that turn dreams into possibilities.

**Job Description Summary**

**About the National Product Catalogue (NPC)**: The National Product Catalogue (NPC) is a centralized platform that allows organizations to maintain and share product and item information with all trading partners in real-time. It ensures data alignment and improves data sharing across the supply chain. The NPC facilitates the digitization of product information, enabling electronic exchange of data for operational efficiency.

**Responsibilities**:

- Update and maintain product information in internal databases, and on the GS1 National Product catalogue (NPC).
- Collect and compile product data from various systems and sources. (SAP, Power BI, NPC, Contracts, Regulatory, Boulevard, Product managers)
- Review Product data help on 3rd party systems (Pacific Commerce Boulevard system), to ensure it is up to date and aligned with other system data.
- Publish product data to the National Catalogue to achieve Contract compliance
- Update product data already published to the product catalogue, ensuring compliance with product catalogue validation rules.
- Collaborate with cross-functional teams to gather and verify product information.
- Perform data validation and quality checks to ensure accuracy and completeness.
- Generate reports and insights based on product data analysis.
- Work closely with the Customer Solutions team to identify and rectify data discrepancies and inconsistencies.
- Always ensuring compliance with company and other relevant standards/regulations.
- Prepare ad hoc reports, analysis and submissions as required.
- Support ad-hoc data requests and projects as needed.

**Knowledge and Experience**
- Proven experience as a Data Analyst or in a similar role.
- Advanced skills in Microsoft office
- Experience with data visualization tools (e.g. Power BI).
- Understanding of data management principles and best practices.
- Knowledge of the National Product Catalogue (NPC) and its requirements is a plus.
- SAP experience would be a plus.
- Ability to work autonomously and as a team member.
- Proven experience in engaging and communicating with a range of business stakeholders to achieve positive outcomes.

**COMPETENCIES**:

- Technical Proficiency: Skilled in using data analysis and visualization tools.
- Analytical Skills: Ability to analyze large datasets and draw meaningful insights.
- Attention to Detail: Meticulous in ensuring data accuracy and integrity.
- Problem-Solving: Proactive in identifying issues and developing effective solutions.
- Communication: Excellent verbal and written communication skills for collaborating with team members and stakeholders.
- Time Management: Capable of managing multiple tasks and meeting deadlines.
- Team Collaboration: Works well in a team environment and supports colleagues.
- Action oriented
- Strong Values and ethics

Becton, Dickinson and Company is an Equal Opportunity/Affirmative Action Employer. We do not unlawfully discriminate on the basis of race, color, religion, age, sex, creed, national origin, ancestry, citizenship status, marital or domestic or civil union status, familial status, affectional or sexual orientation, gender identity or expression, genetics, disability, military eligibility or veteran status, or any other protected status.

**Required Skills**:
Optional Skills


**Primary Work Location**: AUS Sydney - North Ryde

**Additional Locations**:
**Work Shift**:


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