Data Analyst at Husk Power Systems

Role Summary

Husk is seeking a Data Analyst to support the Engineering team in developing and maintaining databases, software creation across the business and countries. This is an internship role that position the candidate to learn, contribute to solving one of Nigeria’s most critical challenges – the energy access deficit. 

The individual should also be passionate about solving one of Nigeria’s most critical challenges – the energy access deficit. This position provides the opportunity to join a growing team that is changing the face of rural electrification in many countries in Africa and Asia, including India, Nigeria, etc. 

Key responsibilities:

• Using automated tools to extract data from primary and secondary sources. 
• Removing corrupted data and fixing coding errors and related problems. 
• Developing and maintaining databases, data systems – reorganizing data in a readable format. 
• Performing analysis to assess quality and meaning of data. 
• Filter data by reviewing reports and performance indicators to identify and provide issues related to the coding problems. 
• Using statistical tools to identify, analyze, and interpret patterns and trends in complex data sets that could be helpful for diagnosis and prediction. 
• Assigning numerical value to essential business functions so that business performance can be assessed and compared over periods of time. 
• Analyzing local, national, and global trends that impact both the organization and the industry. 
• Preparing reports for the management stating trends, patterns, and predictions using relevant data. 
• Working with programmers, engineers, and management heads to identify process improvement opportunities, propose system modifications, and devise data governance strategies. 
• Preparing final analysis reports for the stakeholders to understand the data-analysis steps, enabling them to take important decisions based on various facts and trends. 

Required Skills & Attributes

• Bachelor's degree in an engineering discipline, mathematics, statistics. 
• 0 – 2 years of experience handling data and data driven decision making. 
• Knowledge of programming languages like SQL and Python, R, MATLAB. 
• Technical proficiency regarding database design development, data models, techniques for data mining, and segmentation. 
• Experience in handling reporting packages like Business Objects, programming (Javascript, XML, or ETL frameworks), databases. 
• Proficiency in statistics and statistical packages like Excel, SPSS, SAS to be used for data set analyzing. 
• Knowledge of data visualization software like Power BI, Tableau. 
• Knowledge of how to create and apply the most accurate algorithms to datasets in order to find solutions. 
• Adept at queries, writing reports, and making presentations. 
• Proven working experience in data analysis. 
• Understanding on IOT and Telemetry Data 
• Self-starter who is comfortable taking a task and delivering on it without micromanagement. • Problem-solving skills and Team working skills 
• Accuracy and attention to details.