Business Analyst--customer Experience

Business Analyst--Customer Experience (CX)

Client Location : Frederick, MD. (onsite)---need locals

Experience: 7–10 years total (with 4–5 years of relevant domain experience)

Role Summary

We are looking for an experienced
Business Analyst
with a solid background in
Customer Experience (CX)
and
Service Domain
processes. The candidate will serve as a bridge between business and technical teams, ensuring seamless integration between ERP systems and enterprise data platforms, and enabling actionable insights through BI and analytics solutions.

Key Responsibilities

• Analyze and document business requirements across CX, ERP, MRP, and APS systems.
• Collaborate with stakeholders, architects, and data teams to define data flows, KPIs, and system integrations.
• Develop and manage business requirement documents (BRD), functional requirement documents (FRD), and user stories.
• Facilitate the integration of ERP data into enterprise platforms (Databricks, AWS).
• Use
  SQL
  and
  Power BI
  to validate data and build visualizations for business reporting.
• Support Agile ceremonies, prioritize backlogs, and ensure delivery alignment with business goals.
• Communicate technical details effectively to non-technical stakeholders.
• Promote best practices in data quality, governance, and reporting consistency.

Required Skills & Experience

• Overall Experience:
  7–10 years in Business Analysis, with
  4–5 years of domain experience
  in
  Customer Experience (CX)
  and
  Service Management
  .
• Proven experience with
  ERP systems
  (preferably MRP, APS) and integration projects.
• 4–5 years
  of hands-on experience with
  SQL
  and
  Business Intelligence tools
  (Power BI preferred).
• Exposure to
  cloud data platforms
  such as
  Databricks
  and
  AWS
  .
• Strong analytical, problem-solving, and communication skills.
• Proven ability to work in
  Agile environments
  and influence cross-functional teams without direct authority.

Preferred Skills

• Working knowledge of
  GitHub
  for version control and collaboration.
• Understanding of data pipelines, transformation workflows, and visualization best practices.
• Familiarity with
  modern data architectures
  and
  cloud-based analytics ecosystems
  .