Specialist, Data Analyst

We are seeking a talented, motivated and self-driven professional to join the HHDDA organization and play an active role in our Company's Human Health transformation journey to become the premier Data First commercial biopharma organization.

As a Data Analyst, you will be part of the Data Solutions team and play a key role in understanding, maintaining and utilizing data assets/products optimally, establishing enterprise data management principles, standards, and guidelines on behalf of the assigned functional area or data domain, and serving as the point of contact for matters of data quality, fitness, and implementation of data governance.

You will be responsible for the stewardship of transversal and therapeutic area-specific data domains and act as the subject matter expert, working with data consumers and stakeholders on how to best manage and leverage data assets/products within the organization.

You will also work closely with data product owners and data engineers to support these data assets/products throughout their lifecycle.

Primary Responsibilities:

• Ensure compliance, security, and quality of data assets and products, making sure these are fit for purpose
• Serve as a subject matter expert (SME) with your specific data domain(s) working closely with data engineers, data product owners and data consumers
• Drive data profiling, exploratory data analysis and produce/maintain key artifacts such as data dictionaries, catalogs and lineage information
• Drive creation and implementation of governance policies and procedures around intake, storage, processing, and transmission of data; report on and escalate data quality/governance/compliance issues as needed
• Lead efforts to achieve established data quality/governance objectives, conduct data investigations and drive resolution of data-related issues
• Conduct data investigations and drive resolution of data-related issues
• Provide operational oversight throughout the lifecycle of data products, monitor usage and provide insight into how, when and where teams can best utilize data for decision making
• Maintain and update all data management and administration-related documents and processes (i.e., business processes & workflows, data definitions, business rules, data requirements, data conversion and cleansing plans)
• Partner with IT teams in implementing practices and leveraging existing governance tools
• Facilitate development and implementation of data quality metrics and standards

Education:

• B.S. or M.S. in Engineering or related field, such as Computer Science, Data Science, Business, etc.

Required Experience and Skills:

• 5-8 years of relevant data analysis, data management, consulting and/or industry experience (master data, metadata, data architecture, data governance, data quality, data modeling)
• Basic knowledge on how data assets/products are developed and used within business processes and data science/analytics use cases
• Baseline knowledge of relevant datasets in pharma/healthcare commercial and marketing analytics domains
• Proficiency with data analysis techniques and tools, particularly SQL
• Analytical and data-focused thinking, demonstrating exceptional attention to detail
• Ability to drive decisions for their functional area to data domain owners and ability to influence across business/functional areas
• Ability to develop efficient processes with minimal administrative burden and produce high-quality documentation

Preferred Experience and Skills:

• Experience leading and managing data delivery project teams through all phases of the project lifecycle
• Possess knowledge/expertise in data modeling and management techniques and strategies
• Technical expertise in data architecture principles and design aspects of various database management systems and reporting concepts
• Experience with visualization/reporting technologies (e.g. PowerBI)
• Experience with data modeling and test data management tools
• Knowledge and experience of Agile ways of working and scrum methodologies

Required Skills:

Business Intelligence (BI), Data Management, Data Modeling, Data Visualization, Measurement Analysis, Stakeholder Relationship Management, Waterfall Model