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Senior Pharma Business Analyst – DATAstream
Slipstream IT. Work with Pharma/Life Sciences clients to understand business processes, data requirements, challenges, and future-state needs .
Tech Stack
Tools & technologiesAWSAzureCloudSQL
About the role
Key responsibilities & impact- Work with Pharma/Life Sciences clients to understand business processes, data requirements, challenges, and future-state needs
- Lead business and functional requirements gathering sessions with client stakeholders and SMEs
- Translate business requirements into functional requirements, user stories, data requirements, and process flows
- Analyze commercial Pharma data and understand how sources contribute to business processes and analytics
- Collaborate with Data Architects, Data Engineers, MDM teams, BI teams, and Solution Architects to translate requirements into technical solutions
- Support DATAstream implementations across data integration, commercial data warehousing, MDM, reporting/analytics, and AI/data use cases
- Understand source systems, data feeds, data structures, business rules, transformations, and downstream reporting requirements
- Define data mapping, business rules, data quality requirements, and acceptance criteria
- Participate in data profiling, data validation, UAT, and issue resolution
- Create and maintain business requirements documents, functional specifications, process flows, data dictionaries, mapping documents, and user stories
- Identify data quality issues and work with technical teams on remediation approaches
- Prioritize requirements and manage scope throughout client engagements
- Support solution demonstrations and communicate DATAstream capabilities to business stakeholders
- Provide domain expertise during solution design and implementation
- Support pre-sales activities, discovery workshops, RFP/RFI responses, estimates, and solution discussions
Requirements
What you’ll need- 8+ years of Business Analysis experience, preferably within Pharmaceutical / Life Sciences
- Strong understanding of Pharma commercial business processes and data
- Experience working with business and technical stakeholders
- Strong requirements gathering and documentation skills
- Ability to translate business requirements into data and technical requirements
- Strong understanding of data integration, data warehousing, and data management concepts
- Experience with data mapping, data validation, UAT, and data quality
- Strong analytical and problem-solving skills
- Excellent written and verbal communication skills
- Ability to work independently and manage multiple client priorities
- Experience working in Agile delivery environments
- Experience with Pharma Commercial Data Warehouses / CDWs preferred
- Experience with MDM implementations preferred
- Experience with Snowflake, Azure, AWS, or Databricks preferred
- Experience with Power BI or other BI platforms preferred
- SQL knowledge and ability to perform basic data analysis preferred
- Experience with APIs, SFTP, EDI, and other data integration mechanisms preferred
- Experience working with cloud-based data platforms preferred
- Experience supporting client-facing consulting or implementation engagements preferred
- Exposure to AI/ML use cases in Life Sciences is a plus
- Practical experience with Pharma commercial or Life Sciences data
- Ability to work directly with client stakeholders and SMEs
- Experience with Veeva CRM, Veeva Network, IQVIA, Symphony, MMIT, Salesforce, Snowflake, Azure, AWS, Power BI, or similar platforms is a plus
Benefits
Comp & perks- Equal opportunity employer committed to diversity and inclusion in the workplace