Sr Product Analyst

*What you will do*

The Product Analyst position offers a unique opportunity to join a fun, innovative engineering team within the Enterprise Data Strategy and Engineering (EDSE) organization. Youll work on building next-generation capabilities and services in Data and AI using innovative open-source software, frameworks, tools, and cloud computing services. The role also emphasizes demonstrating these capabilities to support critical business operations and initiatives, ensuring alignment with organizational priorities.

As a Senior Product Analyst, you will lead and do analysis to provide the relevant data mappings to the MDM/ref team.

You will work closely with business teams to understand the requirements of the platform or data products and enable engineering team to develop it.

They bridge the gap between business needs and technical solutions by analyzing, documenting, and managing reference and master data.This role is crucial for enabling effective business operations, analytics, and decision-making.

Key Responsibilities:

Data Analysis and Documentation:

Analyzing data requirements, documenting data lineage, and creating mappings for reference and master data.

Understanding and creation of the stories for :

Data accuracy, completeness, and consistency through data quality assessments, cleansing, and validation processes.

Business Process Analysis:

Understanding how reference and master data are used in various business processes and identifying areas for improvement.

System Integration:

Working with technical teams to understand and document the streams of reference and master data to and fro from various systems and applications.

Communication and Collaboration:

Effectively communicating data requirements and solutions to both business and technical stakeholders.

Training and Support:

Providing training and support to users on reference and master data management processes and systems.

Key Skills and Qualifications:

• Strong analytical and problem-solving skills.
• Excellent communication and interpersonal skills.
• Experience with data quality tools and techniques.
• Familiarity withand technologies.
• Ability to work effectively with both business and technical teams.
• Familiarity withand RDM (Reference Data Management) concepts.

Alignment with business for the success and opportunities:

• Work with business stake holder to understand the data needs and find opportunities to enable them on the platform.

Promotion/adoption:

• Seeing that the availability of MDM/ref is communicated and all project milestones showcased in different forums.

*What we expect of you*

• Masters degree and 7 to 10 years of Information Systems experience OR
• Bachelors degree and 8 to 10 years of Information Systems experience OR
• Diploma and 10 to 12 years of Information Systems experience
• 5-7 years of experience in a product analyst role for MDM/ref data.

Basic Qualifications:

• 5-7 years of experience in a product analyst role, especially for MDM/ref data.
• Experience of working closely with technical team of MDM, ref data.
• Experience in promoting the adoption and communicating the mile stones.
• Know to write user stories for MDM and ref data work.
• Strong skills in Excel and hands-on experience with Agile methodologies (Scrum/SAFe).
• Excellent communication and social skills, with the ability to work collaboratively with cross-functional GTM, product, and engineering teams.
• Strong analytical and problem-solving skills.
• Excellent communication and interpersonal skills.
• Experience with data quality tools and techniques.
• Familiarity withand technologies.
• Ability to work effectively with both business and technical teams.
• Knows SQL.

Preferred Qualifications:

• Familiarity with data technologies, and different tools of MDM and ref data tools.

• Familiarity withand RDM (Reference Data Management) concepts.

• Ability to work effectively across matrixed organizations and lead collaboration between data and AI teams.

• Passion for technology and customer success, particularly in driving innovative AI and data solutions.
• Experience in services or consulting related to data and AI products is a plus, and familiarity with biotech/pharma is beneficial.

*Soft Skills:*

• Excellent analytical and solving skills.
• Ability to work effectively with global, virtual teams
• High degree of initiative and self-motivation.
• Ability to handle multiple priorities successfully.
• Team-oriented, with a focus on achieving team goals
• Strong presentation and public speaking skills.