Milestone Technologies - Senior Business System Analyst

Company Overview

Milestone Technologies is a global IT managed services firm that partners with organizations to scale their technology, infrastructure and services to drive specific business outcomes such as digital transformation, innovation, and operational agility.

Milestone is focused on building an employee-first, performance-based culture and for over 25 years, we have a demonstrated history of supporting category-defining enterprise clients that are growing ahead of the market.

The company specializes in providing solutions across Application Services and Consulting, Digital Product Engineering, Digital Workplace Services, Private Cloud Services, AI/Automation, and ServiceNow.

Milestone culture is built to provide a collaborative, inclusive environment that supports employees and empowers them to reach their full potential.

Our seasoned professionals deliver services based on Milestones best practices and service delivery framework.

By leveraging our vast knowledge base to execute initiatives, we deliver both short-term and long-term value to our clients and apply continuous service improvement to deliver transformational benefits to IT.

With Intelligent Automation, Milestone helps businesses further accelerate their IT transformation.

The result is a sharper focus on business objectives and a dramatic improvement in employee productivity.

Through our key technology partnerships and our people-first approach, Milestone continues to deliver industry-leading innovation to our clients.

With more than 3,000 employees serving over 200 companies worldwide, we are following our mission of revolutionizing the way IT is deployed.

Job Overview

We are seeking a Senior Business Systems Analyst (BSA) to bridge the gap between business stakeholders, manufacturing system owners, and technical teams.

The BSA will support the design, validation, and deployment of data readiness and authentication processes for manufacturing systems data being ingested into Clients data lake and downstream platforms (e.g., PI).

The role focuses on requirements gathering, process mapping, and cross-functional collaboration, ensuring that datasets are fit-for-purpose and aligned with operational and compliance needs.

Key Responsibilities

• Partner with manufacturing system owners, Data lake teams, and business stakeholders to define data readiness requirements.
• Translate business needs into clear technical specifications for Data Analysts/Engineers.
• Document data authentication protocols, audit controls, and readiness standards.
• Conduct gap analysis to identify integrity issues, missing data, or inconsistencies impacting downstream systems.
• Support design of automated audit controls to ensure ongoing data quality and compliance.
• Work with Trailblazer rollout teams to align site-level data readiness solutions with deployment timelines.
• Develop and maintain process documentation, data flow maps, and user acceptance criteria.
• Act as the liaison between technical resources (data engineering teams) and business users (manufacturing, operations, QA).
• Monitor progress, escalate risks, and ensure solutions meet both business and compliance requirements.
  
  

• 7- 10 years experience as a Business Systems Analyst or related role in manufacturing / life sciences.
• Strong understanding of manufacturing systems data (SCADA, PLC, control systems) and downstream applications.
• Experience with data readiness, authentication, and audit protocols.
• Proven ability to translate complex data/technical concepts into business-friendly documentation.
• Familiarity with PI (OSIsoft / Aveva) or other manufacturing historians.
• Excellent skills in requirements gathering, process documentation, and stakeholder management.
• Strong analytical mindset with the ability to work with ambiguous/incomplete data.
• Knowledge of regulatory and compliance considerations in pharma manufacturing data is a plus.
  
  

• Experience with Agile methodologies / PI planning.
• Prior work in data quality, governance, or audit frameworks.
• Exposure to data lakes, pipelines, and relational database ecosystems.
• Knowledge of pharma GxP data Commitment to Diversity & Inclusion :