Senior Manager, IT Engineer III - Field Reporting

Overview

To be a successful Power BI engineer, the following key skills are essential. These skills ensure that you can effectively design, develop, and manage Power BI solutions. Here are the key skills required:

• Data Analysis and Visualization:
  Understanding how to analyze data and create meaningful visualizations is crucial. This includes knowledge of different types of charts and graphs and when to use them.
• Power BI Desktop:
  Proficiency in using Power BI Desktop to create reports and dashboards. This includes understanding how to import data, create data models, and use DAX (Data Analysis Expressions) for calculations.
• Data Modeling:
  Ability to design and implement data models that are efficient and scalable. This includes understanding relationships, hierarchies, and data normalization.
• DAX (Data Analysis Expressions):
  Strong skills in DAX are necessary for creating complex calculations and measures within Power BI.
• Power Query:
  Knowledge of Power Query for data transformation and cleaning. This involves using M language to manipulate data before it is loaded into the Power BI model.
• SQL:
  Proficiency in SQL for querying databases and extracting data. This is important for integrating data from various sources into Power BI.
• Understanding of Business Intelligence (BI) Concepts: A solid understanding of BI concepts and how Power BI fits into the broader BI landscape.
• Data Warehousing:
  Familiarity with data warehousing concepts and technologies, as Power BI often interacts with data warehouses.
• Cloud Services:
  Knowledge of cloud services, particularly Microsoft Azure, as Power BI is often used in conjunction with Azure services.
• Communication and
  
  Collaboration:
  
  Strong communication skills to work with stakeholders and understand their requirements. Collaboration skills are also important for working with teams.
• Problem-Solving:
  Ability to troubleshoot issues and optimize Power BI solutions for performance and usability.
• Security and Governance:
  Understanding of data security and governance practices to ensure data is protected and compliant with regulations.

The IT Engineer III manages with the Platform Lead or Product Lead the entire technology lifecycle—from strategic planning to deployment, optimization, and support—ensuring Otsuka’s IT environment remains secure, compliant, and responsive to business needs.

• Work with the Solution Architect to translate business and functional requirements into well-architected technical solutions.
• Manages the design and implementation of solutions that align with Otsuka’s enterprise architecture, data strategy, and security standards.
• Develop and configure systems across cloud (AWS, Azure), on-premises, and hybrid environments.
• Build automation scripts and reusable components to streamline deployments.
• Participate in code reviews, configuration management, and version control practices.
• Validate scalability, performance, and fault-tolerance of deployed systems.

• Collaborate with platform lead, product owner, business analysts, architects, and QA teams to ensure alignment with project goals.
• Work within Agile/Scrum or hybrid delivery frameworks to support iterative releases.
• Manage to technical deliverables and contribute to project documentation, timelines, and risk assessments.
• Coordinate with external vendors, managed service providers, and internal support teams.
• Provide clear, concise technical input in planning and status meetings.

• Maintain high availability of systems through proactive monitoring and issue resolution.
• Analyze incidents, perform root-cause analyses, and implement preventive measures.
• Apply observability tools (e.g. Splunk, Datadog, New Relic) for performance management.
• Automate infrastructure provisioning, deployment pipelines, and alerting systems to reduce manual interventions.
• Develop operational runbooks and participate in on-call rotations as needed.
• Contribute to disaster-recovery testing and business continuity planning.

• Ensure solutions comply with cybersecurity, data privacy, and regulatory requirements…