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Data Analyst- Data visualization and reporting

NOMD Technologies India

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  • Posted:   1 day ago
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  • Job id6880d3eb2cf6e34715e31890
  • Experience3 - 4 years
  • SalaryNot disclosed
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Data Analyst- Data visualization and reporting

NOMD Technologies India Kochi No of views: 0

We are seeking a detail-oriented and technically skilled Data Analyst to join our team and support inspection-based decision-making across power infrastructure assets. The ideal candidate will specialize in data visualization, statistical analysis, and predictive modeling, and possess a strong foundation in electrical engineering concepts.

Skills
  • SQL
  • Cloud Platform
  • Problem-Solving Skills
  • Analytical skills
  • Attention to detail
  • Communication
  • Presentation Skills
Requirements
  • Job Role Data Analyst- Data visualization and reporting
  • Job Type Full Time
  • Workplace Type Onsite
  • Industry Information Technology & Services
Secondary locations
Not provided
About

Not provided

Responsibilities

• Analyze inspection data: Process and interpret large datasets from various power line inspection technologies, including LiDAR, thermal imagery, drone footage, and visual inspections, to identify anomalies, defects, and potential risks.
• Develop predictive models: Create and refine statistical models and machine learning algorithms to predict equipment failures, identify critical maintenance needs, and optimize inspection schedules.
• Data visualization and reporting: Design and generate clear, concise, and impactful reports, dashboards, and visualizations to communicate findings and recommendations to engineers, operations teams, and management.
• Collaborate with engineering teams: Work closely with electrical engineers, field technicians, and asset management teams to understand their data needs, validate findings, and support decision-making.
• Identify data quality issues: Implement processes to ensure the accuracy, consistency, and completeness of inspection data.
• Contribute to process improvement: Proactively identify opportunities to enhance data collection methods, analysis techniques, and overall inspection workflows.

Other Requirements

Qualification:
• Education: Bachelor's or Master's degree in Electrical Engineering, Data Science, / a related quantitative field OR any Technical degree

Experience:
•3+ years of experience as a Data Analyst, preferably in an industrial, infrastructure, or utility setting.
• Demonstrable experience with power systems or electrical infrastructure. Experience with power line inspection technologies (e.g., drones,
LiDAR, thermal cameras) is highly desirable.
• Proven experience in data manipulation, statistical analysis, and predictive modeling
• Proficiency in SQL for data extraction and manipulation.
• Experience with data visualisation tools.

Technical Skills:
• Strong understanding of electrical engineering principles, including AC/DC circuits, power transmission and distribution, fault analysis, and material science related to power infrastructure.
• Experience with geospatial data analysis is a plus.
• Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and big data technologies is beneficial.
• Electrical engineering expertise: Apply in-depth knowledge of electrical systems, power transmission, distribution, and common power line faults (e.g., insulator degradation, conductor damage, vegetation encroachment) to data interpretation and problem- solving.


Soft Skills:
• Excellent analytical and problem-solving skills.
• Strong attention to detail and accuracy.
• Ability to translate complex data into clear, actionable insights.
• Effective communication and presentation skills, both written and verbal.
• Ability to work independently and collaboratively in a fast-paced environment.

Good to have

  • Experience with specialized power line inspection software or platforms.
  • Knowledge of regulatory standards and best practices in the power utility industry.
  • Certification in data science or relevant analytics tools.

About the Company

We are passionate to add value to the society through smart technologies, and are fully committed to shape the future of digital economies for a smart world.

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