Sr. Business Analyst - EDM

Posted Yesterday
Hiring Remotely in United States
Remote
Senior level
Information Technology • Biotech • Consulting • Pharmaceutical
The Role
Leads requirements gathering and delivery for pharmaceutical commercial data, analytics, MDM, and technology initiatives. Translates business needs into functional and technical requirements, data mappings, process flows, business rules, and acceptance criteria. Collaborates with architects, engineers, BI, MDM, and client stakeholders throughout implementation, including data validation, UAT, quality remediation, and scope management. Supports solution demonstrations, discovery workshops, pre-sales, and consulting engagements while applying expertise in pharma commercial processes and data.
Summary Generated by Built In

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.

About the Role

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.

Key Responsibilities:

  • 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.

Pharma / Life Sciences Knowledge

  • The candidate should have practical experience working with Pharma commercial or Life Sciences data and should understand areas such as:
  • HCP / HCO / Customer data
  • Product and Brand data
  • Sales and prescription data
  • IQVIA, Symphony Health, MMIT, Veeva or similar commercial data sources
  • Specialty Pharmacy and Distribution data
  • Patient / Patient Services 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.

Required Skills

  • 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

Preferred Qualifications

  • Experience with Pharma Commercial Data Warehouses / CDWs
  • Experience with MDM implementations
  • Experience with Snowflake, Azure, AWS, or Databricks
  • Experience with Power BI or other BI platforms
  • SQL knowledge and ability to perform basic data analysis
  • Experience with APIs, SFTP, EDI, and other data integration mechanisms
  • Experience working with cloud-based data platforms
  • Experience supporting client-facing consulting or implementation engagements
  • Exposure to AI/ML use cases in Life Sciences is a plus

What We Are Looking For

The ideal candidate is a Pharma domain expert who is also comfortable working with technology and data.

This person should be able to sit with a business stakeholder, understand the business problem, translate it into data and functional requirements, and work with the technical team to ensure the solution addresses the intended business outcome.

Strong client-facing communication, ownership, and the ability to operate in a fast-paced consulting environment are critical.

Slipstream is an equal opportunity employer that is committed to diversity and inclusion in the workplace. We prohibit discrimination and harassment of any kind based on race, color, sex, religion, sexual orientation or identity, national origin, genetic information, pregnancy, or any other protected characteristic as outlined by federal, state, or local laws. Slipstream makes hiring decisions based solely on qualifications, merit, and business needs at the time.

This job description may not be inclusive of all assigned duties, responsibilities, or aspects of the job described, and may be amended at any time at the sole discretion of the Employer.

Skills Required

  • 8+ years of business analysis experience, preferably in pharmaceutical or life sciences environments
  • Strong understanding of pharmaceutical 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
  • Understanding of data integration, data warehousing, and data management concepts
  • Experience with data mapping, data validation, user acceptance testing, 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 pharmaceutical commercial data warehouses
  • Experience with Master Data Management implementations
  • Experience with Snowflake, Azure, AWS, or Databricks
  • Experience with Power BI or other business intelligence platforms
  • SQL knowledge and ability to perform basic data analysis
  • Experience with APIs, SFTP, EDI, and other data integration mechanisms
  • Experience with cloud-based data platforms
  • Experience supporting client-facing consulting or implementation engagements
  • Exposure to AI and machine learning use cases in life sciences
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The Company
HQ: Blue Bell, PA
260 Employees
Year Founded: 2020

What We Do

Slipstream is a trusted technology partner exclusively serving the life sciences industry. The company provides pragmatic, scalable, and compliant technology solutions, including IT outsourcing, managed services, and consulting for pharmaceutical and biopharmaceutical companies. Their mission is to empower these organizations to accelerate research, optimize time to market, and improve patient outcomes through AI-enabled delivery and deep industry expertise.

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