Data Analyst - Power Transformer

Hitachi's interview process typically consists of an online aptitude test followed by a technical interview that probes data analysis techniques, Python/SQL proficiency, and domain knowledge in power systems. The final HR round assesses cultural fit, communication skills, and motivation. Candidates should practice case‑based questions and be ready to discuss past projects in detail.

Hitachi promotes a collaborative work culture where innovation is encouraged and employees are given autonomy to experiment. The company offers structured career growth, regular skill‑upgradation programs, and maintains a healthy work‑life balance with flexible timings and supportive management.

Bachelor's or Master's degree in Electrical Engineering, Power Engineering, Electronics, Computer Science, Data Science or related fields; minimum 60% aggregate (or CGPA 6.5/10); graduating batch 2023‑2026; no active backlogs at the time of joining; strong analytical mindset and willingness to work in a manufacturing environment.

Round 1: Online Aptitude Test → Round 2: Technical Interview (data analysis, programming, domain knowledge) → Round 3: HR Interview (fitment, motivation, cultural alignment)

Hitachi is a global leader in technology and engineering, delivering innovative solutions across sectors such as power, information technology, automotive, and industrial systems. With a strong presence in India, Hitachi’s Indian operations focus on delivering high‑value projects, fostering research and development, and building sustainable infrastructure. The company emphasizes a culture of continuous learning, collaborative problem‑solving, and a commitment to social responsibility, making it an attractive destination for ambitious engineers and analysts. The Power Transformer division at Hitachi designs, manufactures, and services high‑performance transformers that are critical to the reliability of power grids worldwide. As part of this division, the Data Analyst role is pivotal in turning raw data into actionable insights that drive product quality, operational efficiency, and cost optimisation. The analyst works closely with engineering, manufacturing, and project management teams to develop data‑driven strategies that enhance performance and reduce failures. **Key Responsibilities** 1. Design and implement a comprehensive data analysis system for multiple transformer projects. 2. Automate KPI calculation and reporting pipelines to provide real‑time business insights. 3. Generate standardized reports on design standardisation, implementation outcomes, and project performance. 4. Compare test results with calculated performance metrics, creating new tools or dashboards where gaps exist. 5. Reduce manual Excel‑based analysis by building repeatable, script‑driven workflows. 6. Analyse margin and schedule slippage trends, delivering forecasts and corrective recommendations. 7. Identify cost‑saving opportunities through deep data mining and statistical analysis. 8. Coordinate data‑related tasks across Hitachi’s global factory network, ensuring consistency and knowledge preservation. 9. Support the rollout and integration of new engineering software platforms. 10. Collaborate with cross‑functional teams to translate analytical findings into actionable engineering decisions. **Tech Stack**: Python (pandas, NumPy, matplotlib), SQL, Power BI/Tableau, Excel VBA, Git, Linux/Windows scripting, basic knowledge of electrical engineering data formats. **Growth Path**: Starting as a Data Analyst, high performers can progress to Senior Analyst, Data Science Lead, or Product Analytics Manager, with opportunities to move into broader engineering or product development roles. **Why Join Hitachi?** Hitachi offers exposure to cutting‑edge power technology, a collaborative multinational environment, and a clear career ladder. Employees benefit from continuous learning programs, mentorship, and the chance to impact critical infrastructure projects that power millions of homes and industries.