Power BI Specialist

This role suits analysts who are comfortable going beyond charts and want to own the full reporting cycle at a global energy technology company, from understanding the business question to modelling SAP data, publishing a governed dashboard and supporting users after launch.

Why This Role Matters

Reports only help when people trust the numbers behind them. At Hitachi Energy, teams working on pricing, costing, procurement and customer data depend on analytics to compare performance, spot variances and plan ahead. Your job is to make sure those numbers are accurate, fast and easy to understand, so that a sales head or finance lead can act on a dashboard without asking for a second explanation.

The role sits between business and technology, so you will spend as much time talking to subject matter experts as you do inside Power BI Desktop.

Role at a Glance

On-Site Full Time Regular Contract Experienced

What You Will Be Doing

Your responsibilities fall into three connected areas, and the table below shows how they map to the day-to-day work.

You will also be expected to work independently on Power App development, convert business requirements into process flow charts, and keep change requests organised with clear traceability. Part of the role is proposing how application data should be stored and retrieved on the enterprise data platform, which includes a data lake and Databricks.

SAP Data Exposure

This is where the role becomes distinctive. The company is looking for hands-on experience analysing SAP data across Materials Management (MM), Purchasing Info Records (PIR), Customer and Pricing, Finance Master Data and Costing. Understanding how master data and transactional data relate to each other is what separates a dashboard that reconciles from one that raises questions in every review meeting.

Analysts who understand the business meaning of the data tend to build better models than those who only know the tool.

Data will flow in from SAP HANA and from approved supporting sources such as Excel files, SharePoint lists and SQL databases, so comfort with combining multiple sources is important.

Technical Skills Expected

Power BI Desktop Power BI Service DAX Power Query SQL Power Apps Power Automate

Strong DAX and Power Query knowledge is central, along with data modelling, KPI design and report performance optimisation. SQL is needed for extraction, validation, reconciliation and troubleshooting. On the analyst side, expect regular work in data profiling, cleansing, exploratory analysis, trend and variance analysis, and root-cause investigation.

Governance and Security

Enterprise reporting depends on control as much as design. You will work with role-based access, row-level security, data quality checks, documentation and controlled deployment practices. You are also expected to follow applicable external and internal regulations, and to reflect Hitachi Energy’s core values of safety and integrity in how you handle data and work with colleagues.

Educational Background

The company prefers a bachelor’s or master’s degree in Data Analytics, Computer Science, Information Systems, Engineering, Statistics or a related field. Strong written and spoken English matters because you will explain insights to both technical and non-technical audiences.

What Recruiters May Evaluate

Expect interview discussion around real work rather than definitions. Be ready to explain a dashboard you built, how you handled a slow report, and how you reconciled numbers that did not match between two systems. Stakeholder communication, attention to detail and structured thinking will likely be tested alongside technical skills.

flowchart LR
A[Application] --> B[Resume Screening]
B --> C[Technical Discussion]
C --> D[Business Round]
D --> E[HR Round]

Things Worth Preparing

Before applying, revise DAX concepts such as context transition, time intelligence and calculated measures, and practise optimising a slow model by reducing columns and simplifying relationships. Learn the basics of SAP table relationships if you have not worked with them, and prepare one example of turning a vague business request into a documented requirement. The Microsoft PL-300 certification is a useful addition to a resume for this kind of role.

Keywords for Resume

Power BI • DAX • Power Query • Data Modeling • SQL • SAP HANA • SAP MM • Power Apps • Power Automate • Dataverse • SharePoint • Databricks • Data Lake • Row-Level Security • KPI Design • Data Profiling • Variance Analysis • Stakeholder Management • Data Governance

Final Perspective

This opening offers a mix of business intelligence, SAP data work and low-code application development, which is a valuable combination for analysts planning a long-term career in enterprise analytics. Candidates with real SAP exposure and solid DAX skills will be best placed to take advantage of it.