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Hitachi Energy is seeking an Analytics Architect to shape how data is structured, modeled, and consumed across the Grid Integration Data Platform. You will design semantic layers and scalable analytics frameworks enabling BI analysts and stakeholders to derive actionable insights.
You will partner with leadership to translate operational needs into analytics solutions, ensuring governance, compliance, and performance across global platforms.
As the Analytics Architect within our BST GI Analytics & Data Platform organization, you will be the strategic mind shaping how data is structured, modeled, and consumed across Hitachi Energy’s Grid Integration (GI) business Data Platform.
While our platform architecture team handles the underlying data infrastructure, your mission is to turn that raw power into business value. You will design the semantic layers, data models, and analytical frameworks that enable our BI Analysts and business teams to extract deep, actionable insights. Working closely with the Team Manager and business stakeholders, you will ensure our analytics landscape is intelligent, highly performant, and built in strict accordance with global compliance and internal process standards.
Design the Analytics & Modeling Strategy: Own the architectural blueprint for our semantic layers, data marts, and business-facing data models, ensuring they are optimized for advanced analytics and front-end BI applications.
Translate Demands into Analytical Frameworks: Partner with business leaders to understand complex operational requirements. Design how curated data and insights are consumed not only in dashboards and reports, but also in self-service models, operational applications, and automated workflows where analytics can directly improve business processes and decisions.
Uphold Data Governance & Validity: Enforce high standards of data quality, Master Data alignment, and KPI standardization, ensuring that reports across different business units deliver a single, auditable version of the truth.
Ensure Process & Regulatory Compliance: Embed internal PPS (Project Power System) project guidelines and ITIL service frameworks into the analytics deployment lifecycle, maintaining full alignment with global data regulations.
Lead technology evaluation and proof-of-concepts. Assess new capabilities, patterns, and tools across Power BI, Microsoft Fabric / Azure, and related analytics technologies; run PoCs where needed; and recommend pragmatic adoption decisions that improve scalability, performance, usability, and governance.
Analytics Architecture Expertise: Proven experience in enterprise analytics architecture. You have a strong track record as an Analytics Architect, BI Architect, Power BI Architect, or similarly senior role designing enterprise BI solutions, semantic layers, and reusable analytics patterns in complex environments.
Advanced Modeling Mastery: You understand how analytics front ends interact with curated warehouse / lakehouse layers and how bronze / silver / gold patterns, ETL/ELT, and governed data products support scalable reporting and self-service analytics. Experience with Microsoft Fabric, Azure, Databricks, or comparable cloud data platforms is highly valued.
End-to-End Data Visibility: A strong understanding of how front-end BI applications interface with backend data platform storage, ensuring seamless data flows from ingestion to visualization.
Framework & Process Discipline: Practical experience working within structured project environments using PPS guidelines (or equivalent gate-models) and ITIL processes.
Strategic Communicator: Exceptional ability to collaborate with business stakeholders to map out analytical requirements, combined with the technical depth to guide backend developers on data structure needs.
Recruiting Manager Jimmy Cavanagh will answer your questions about the position. Union representatives – Sveriges Ingenjörer: Philip Bengtsson, +46107-38 25 17; Unionen: Michael Fosselius, +46107-38 46 19; Ledarna: Frank Hollstedt, +46107-38 70 43. All other questions can be directed to Talent Acquisition Partner Fredrik Söder, fredrik.soder@hitachienergy.com
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As part of our recruitment process, Hitachi Energy uses digital and automated tools, including Al-supported solutions, to assist with activities such as application screening, job matching, and interview scheduling. These tools are designed to support our recruiters and do not replace human decision-making. Candidate data is processed in accordance with applicable data protection and employment laws as well as Hitachi's Global Data Privacy Notice.
As part of the hiring process, Hitachi Energy conducts pre‑employment background checks that may include verification of employment history, education, criminal records, and other relevant information, in accordance with applicable laws.
For certain roles—particularly those involving access to sensitive information, financial responsibilities, client data, regulated environments, or security‑sensitive functions—additional or more comprehensive background or security screenings may be required. These may include, but are not limited to, enhanced criminal history checks, credit history reviews (where legally permissible), sanctions screening, or other due diligence measures aligned with the responsibilities of the position.
The scope and depth of any background or security review will be determined based on the nature of the role and business necessity, and will always be conducted in compliance with applicable federal, state, and local laws. Candidates will be notified and, where required, asked to provide consent prior to the initiation of any such checks.