Data Analytics Manager at Daystar Power Group Full Time

Daystar Power is a leading off-grid power service provider, offering hybrid power solutions to commercial and industrial businesses in West Africa. Daystar Power’s solutions “Solar-as-a-Service” (100% solar power) and “Power-as-a-Service” (hybrid power solutions with battery storage) provide clean and reliable power while significantly reducing clients’ overall power costs.

Daystar Power counts the region’s leading industrial and commercial companies among its client base. Daystar is active in Nigeria, Ghana, Togo and Senegal with a representative office in Cote d’Ivoire.

We are seeking competent, self motivated, hardworking and result driven professional to fill the position below:

Job Title: Data Analytics Manager

Location: Lagos
Job Type: Full Time

Description

• Daystar Power Group is looking to engage a competent Data Analytics Manager.
• The candidate will support a variety of tasks related to renewable energy data analysis with a focus on hybrid power.
• He or she must have strong research, data analysis, consolidation, and writing skills as well as experience in compiling and manipulating large data sets for analysis and recommendations for operational effectiveness.
• We are seeking hard working, motivated, and well-organized individuals with a focus on continuous improvement to exceed expectations.

Key Responsibilities

• Utilize existing monitoring tools to analyse the performance of Daystar Power’s hybrid solar power systems with previous periods and to plan performance levels.
• Analyse metrics such as solar yield, battery charge and discharge times, diesel consumption, grid consumption, generator uptime, and others.
• Conduct analysis of portfolio performance across various metrics.
• Conduct data driven investigations and root cause analysis to identify the reasons for underperformance in underperforming systems.
• Develop remediation actions for the operations team to execute in order to improve underperforming systems.
• Track remediation actions and analyse and report on their impact.
• In conjunction with the finance team, analyse the profitability impacts of alternative system solutions.
• Put forward recommendations and guidance for sales engineering and service teams to implement in their work processes in order to close the gap between actual and planned performance.
• Conduct predictive analytics to identify power systems where preventative maintenance and trouble shooting should be conducted to minimize downtime and operating costs.

Requirements

• Education: Minimum of a Bachelor’s degree in Engineering or Mathematics & Statistics.
• Experience: Minimum of 5 – 10 years professional experience required, ideally with a data analytics background

Competency and Skills Requirements:

• Advanced computer skills, including proficiency in MS Office, financial reporting software and advanced financial modelling
• Excellent analytical, strategic, planning and problem-solving skills
• Excellent knowledge of data analysis and forecasting methods

Language Proficiency:

• English (with excellent communication skills and accurate reporting skills).

Character:

• Proactive self-starter and pays attention to details.
• Ability to work well in interdepartmental teams.
• Ability to work in fast-paced, dynamic start-up environment
• Self-motivated and demonstrate a sense of ownership with high level of commitment and the ability to thrive under pressure.
• Highly organized with ability to manage multiple projects in parallel and prioritize competing demands, passion for renewable energy.

Others:

• Agility: The ability to be flexible, responsive, adaptive, and show initiative in times of change, uncertainty and business opportunity.

Benefits

• Opportunity to work in a forward-looking, innovative company, with international group of colleagues.
• Unlimited career opportunities – depending on achievements and personal development.
• A competitive salary and benefits package with long term prospect in a fast-growing company.

Application Closing Date
Not Specified.