NOMD Technologies

Data Analyst (Data Visualization & Reporting)

Key Responsibilities :

- Work with large datasets from various inspection sources (LiDAR, drones, thermal imaging).

- Build insightful dashboards and reports using tools like Power BI, Tableau, or Looker.

- Develop and deploy predictive models and statistical analyses to detect anomalies and prevent failures.

- Collaborate with engineering and operations teams to translate complex data into operational insights.

- Ensure high-quality, clean, and consistent data by implementing validation pipelines.

- Apply basic electrical domain knowledge (fault detection, insulator/conductor analysis, etc.) for enriched interpretations.

- Continuously improve analysis workflows and automate repetitive data processes.

Required Skills & Experience :

- 3+ years of hands-on experience as a Data Analyst/Data Scientist.

- Strong skills in SQL, Python (Pandas, NumPy), or R for data manipulation.

- Proficiency in data visualization tools : Power BI, Tableau, Looker, etc.

- Experience in working with time-series data or sensor-based data from industrial sources.

- Exposure to predictive analytics, ML algorithms, or data modeling techniques.

- Solid understanding of data pipelines and best practices in data management.

- Familiarity with AWS/Azure/GCP for data processing is a plus.

- Background or familiarity with geospatial data or tools like QGIS is a bonus.

Preferred Qualifications :

- Degree in Data Science, Engineering, Computer Science, Prior experience with inspection data, IoT, or utilities/power transmission systems.

- Knowledge of domain-specific platforms used for power line inspections.

- Certification in data analysis/ML platforms (Google Data Analytics, Microsoft DA, etc.

Soft Skills :

- Strong analytical thinking and attention to detail.

- Ability to convert technical findings into business-focused insights.

- Team player with cross-functional collaboration experience.

- Effective written and verbal communication skills