Managed Services Intermediate BI Developer

Make an impact with NTT DATA

Join a company that is pushing the boundaries of what is possible. We are renowned for our technical excellence and leading innovations, and for making a difference to our clients and society. Our workplace embraces diversity and inclusion – it’s a place where you can grow, belong and thrive.

We are looking for an Intermediate BI Developer to join our growing BI Managed Services team.

This role goes beyond traditional BI development or reactive support. We take pride in what we do — we partner with our clients, take ownership of their BI environments, and work proactively to deliver reliable, high-quality data solutions.

You will be responsible for a mix of small project development, proactive and reactive support, and troubleshooting complex BI and data issues. You’ll work closely with clients, build trusted relationships, and contribute to continuously improving both our client solutions and our internal ways of working.

If you enjoy solving problems, take pride in delivering quality work, value structure and best practices, and want to grow your skills and career, this role is for you.

• Maintain BI solutions in a managed services environment
• Deliver small to medium BI development initiatives alongside ongoing support work
• Perform root-cause analysis and troubleshooting of data, ETL/ELT, model, and reporting issues
• Proactively identify risks, improvements, and optimisation opportunities
• Work directly with clients to understand business needs and translate them into effective BI solutions
• Build strong, long-term relationships and act as a trusted BI partner to clients
• Follow and contribute to internal processes, standards, and best practices to ensure consistent, high-quality delivery
• Document solutions, learnings, and improvements to support knowledge sharing and operational excellence

• 3+ years of production experience analysing and wrangling data
• Production experience building ETL / ELT pipelines using technologies such as:
  • SQL
  • SSIS
  • Azure Data Factory
  • Azure Synapse Analytics

• Experience working with relational data sources (e.g. CSV, Excel, SQL Server, Oracle, Postgre
  
  SQL, MySQL)
• Strong understanding of relational, dimensional, and non-structured data, and how to model each effectively
• Experience transforming and conforming diverse data sources into meaningful business insights
• Understanding of business metrics and visible data lineage

• 3–5+ years of production experience building data warehouses and dimensional data models
• Practical experience applying Kimball star-schema methodology on Microsoft-based technologies

• Experience working with modern modelling tools (on-premise and/or cloud), such as:
  • SQL Server
  • Analysis Services
  • Power BI
  • Azure Synapse Analytics
• Experience building developer-friendly technical data models
• Strong DAX modelling experience (Power BI, Analysis Services, DAX Studio, Tabular Editor)
• Experience building dashboards for development, testing, and self-service enablement (Power BI, Excel)

• Exposure to common enterprise source systems (e.g. SAP, Oracle EBS, Salesforce, SharePoint, Dynamics 365, Office 365)
• Understanding of data governance, master data management, and data lineage
• Exposure to public, non-relational, or unstructured data
• Experience with hybrid cloud environments and/or non-Azure platforms (AWS, GCP)
• Familiarity with CI/CD and Dev Ops practices (e.g. Git Hub, Azure Dev Ops)

• Ability to clearly communicate technical concepts to non-technical stakeholders
• Strong business acumen and ability to break down ambiguous requirements
• Experience translating business needs into technical solutions
• Willingness to coach, collaborate, and share knowledge within the team

• Excellent troubleshooting and problem-solving skills
• Strong sense of ownership and accountability
• Pride in delivering high-quality, reliable service
• Client-focused mindset with a passion for building relationships
• Comfortable working in production environments and handling live issues
• Self-motivated, SLA-aware, and eager to grow