Senior Pharma Business Analyst DATAstream

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At Slipstream we work to streamline IT Support and provide managed solutions with a strategic consulting and global leadership management approach. Our solutions are designed exclusively for emerging pharma and biotech organizations. Slipstream’s industry-leading solutions free clients from the demands of internal IT and allow them to rapidly advance their mission. Led by a leadership team that has been together for over 10 years, you will join a proven team, culture, and strategy to drive innovation within the IT outsourcing industry while developing your skillset with opportunities for internal growth.

We are looking for a
** Senior Pharma Business Analyst
** to join our DATAstream team and work closely with Life Sciences clients on data, analytics, commercial operations, and data management initiatives.
The ideal candidate will have strong knowledge of
** Pharmaceutical commercial processes and data**, along with the ability to translate business requirements into clear functional and technical requirements for data engineering, MDM, analytics, and technology teams.
This role requires someone who can work directly with client stakeholders, understand complex business workflows and data requirements, and help drive DATAstream implementations from requirements through delivery.

• 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 detailed functional requirements, user stories, data requirements, and process flows.
• Analyze commercial Pharma data and understand how different sources contribute to business processes and analytics.
• Work closely with Data Architects, Data Engineers, MDM teams, BI teams, and Solution Architects to translate business 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.
• Help identify data quality issues and work with technical teams to define appropriate remediation approaches.
• Work with client teams to prioritize requirements and manage scope throughout the engagement.
• 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 when required.
• the candidate should have practical experience working with Pharma commercial or Life Sciences data and should understand areas such as:
• Product and Brand data**
• Sales and prescription data
• IQVIA, Symphony Health, MMIT, Veeva
  ** or similar commercial data sources
• Specialty Pharmacy and Distribution data
• Payer / Formulary data
• Field Force / Sales Force data
• Territory and Alignment data
• CRM data and commercial analytics
• MDM and customer master data
• Commercial reporting and KPIs
• Data integration and data warehouse concepts
• Experience with
  ** Veeva CRM, Veeva Network, IQVIA, Symphony, MMIT, Salesforce, Snowflake, Azure, AWS, Power BI**, or similar platforms is a plus.

• 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…