Data Analyst

Data Analyst at Husk Power Systems

Husk is a leading rural energy provider dedicated to delivering low-cost, reliable power to rural households and businesses using entirely renewable energy sources. Operating in India and Africa, Husk has already provided electricity to over 15,000 homes and businesses, reducing 95,000 tonnes of CO2. Husk aims to provide 30MW of power to 225,000 customers by 2025, further saving 350,000 tonnes of CO2 each year.

Role Summary

Husk is seeking a passionate Data Analyst for an internship position to support the Engineering team in developing and maintaining databases and software across multiple business sectors and countries. This position offers an opportunity to contribute to solving Nigeria’s energy access deficit and make an impact on rural electrification across Africa and Asia, including Nigeria and India.

Key Responsibilities

• Extract data from primary and secondary sources using automated tools.
• Clean and fix corrupted data and coding errors.
• Develop and maintain databases and data systems, ensuring readability and organization.
• Perform analysis to assess data quality and significance.
• Review reports and performance indicators to identify issues related to coding problems.
• Use statistical tools to identify, analyze, and interpret patterns and trends in complex data sets.
• Assign numerical values to essential business functions for performance assessment over time.
• Analyze local, national, and global trends that affect the organization and industry.
• Prepare reports for management, highlighting trends, patterns, and predictions.
• Collaborate with programmers, engineers, and management to identify improvement opportunities and propose system modifications.
• Prepare final analysis reports for stakeholders to aid decision-making.

Required Skills & Attributes

• Bachelor’s degree in an Engineering discipline, Mathematics, or Statistics.
• 0-2 years of experience handling data and data-driven decision-making.
• Knowledge of programming languages like SQL, Python, R, MATLAB.
• Technical proficiency in database design, data models, and data mining techniques.
• Experience with reporting packages like Business Objects, JavaScript, XML, or ETL frameworks.
• Proficiency in statistical tools like Excel, SPSS, SAS for data analysis.
• Knowledge of data visualization tools like Power BI, Tableau.
• Ability to create and apply accurate algorithms to datasets to find solutions.
• Strong skills in writing reports and delivering presentations.
• Understanding of IOT and Telemetry Data.
• Problem-solving abilities, team player, attention to detail, and self-starter with the ability to deliver tasks independently.

Application Closing Date

Not Specified

See Also: Data Scientist / Data Engineer at Alpha Global