Senior Data Insights Professional

7 days ago


Doha, Baladīyat ad Dawḩah, Qatar KPMG in Qatar Full time
About the Role
The Senior Data Analyst will play a key part in driving business growth by providing actionable insights to support informed decision-making. With a strong background in data analysis and a passion for advanced metering instrumentation, you will collaborate with cross-functional teams to develop and implement data-driven solutions that enhance energy management processes.

Responsibilities
  1. Analyzing complex data from AMI systems to identify trends, anomalies, and opportunities for efficiency improvements.
  2. Developing and implementing data models, algorithms, and statistical methods to analyze large datasets.
  3. Creating comprehensive reports and dashboards to visualize data insights for stakeholders.
  4. Collaborating with engineering, IT, and operations teams to integrate data analytics into business processes.
  5. Ensuring data quality and implementing data cleansing procedures to maintain accuracy and reliability.
  6. Providing technical expertise in metering technologies and contributing to the development of new metering solutions and strategies.
  7. Mentoring and guiding junior data analysts, promoting a culture of continuous learning and improvement.
  8. Staying up-to-date with the latest advancements in data analytics, metering technologies, and energy management systems.

Requirements
  1. Bachelor's degree in Data Science, Computer Science, Engineering, Statistics, or a related field. Master's degree preferred.
  2. Over 10 years of experience in data analysis, with a focus on advanced metering instrumentation.
  3. Proficiency in data analytics tools and programming languages such as Python, R, SQL, and data visualization tools (e.g., Tableau, Power BI).
  4. Strong understanding of energy systems, metering technologies, and AMI systems.
  5. Demonstrated ability to handle large datasets and perform complex analyses.
  6. Excellent problem-solving skills and attention to detail.
  7. Strong communication skills, with the ability to present complex data insights to non-technical stakeholders.
  8. Experience with machine learning techniques and predictive modeling is a plus.


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