NOMD Technologies - Data Analyst - Visualization & Reporting

3 years

0 Lacs

Posted:1 week ago| Platform: Linkedin logo

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Work Mode

On-site

Job Type

Full Time

Job Description

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
(ref:hirist.tech)

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