Smart Grid Data Analyst Job Vacancy in Ndola, Zambia – Energy & Utilities

July 22, 2026
Apply Now

Job Description

Position: Smart Grid Data Analyst

Company: Siemens Energy Zambia

Location: Ndola, Zambia

Experience: 3-5 years

Education: Bachelor’s degree in Electrical Engineering, Computer Science, or related field

Employment Type: Full-time

Industry: Energy & Utilities

Department: Data Analytics

Vacancies:1

Company Overview

Siemens Energy Zambia is a leading provider of innovative power generation and transmission solutions across the African continent. With a strong commitment to sustainability, digitalization, and customer‑centric services, Siemens Energy empowers utilities, industrial customers, and governments to transition toward smarter, greener energy systems. Operating from its state‑of‑the‑art facilities in Ndola, the company supports Zambia’s national grid modernization initiatives, renewable integration projects, and advanced metering infrastructure. As part of a global network, Siemens Energy Zambia offers career opportunities that combine local impact with international expertise, making it an attractive destination for professionals seeking to shape the future of energy in Zambia and beyond. The organization values diversity, continuous learning, and a collaborative culture that drives innovation in the rapidly evolving energy sector. For more information about the company’s vision and projects, visit the main portal at https://zambiajobssearch.com.

Job Overview

The Smart Grid Data Analyst will play a pivotal role in transforming raw grid data into actionable insights that enhance reliability, efficiency, and sustainability of Zambia’s power network. Working closely with the Grid Operations, IT, and Renewable Integration teams, you will develop advanced analytics models, monitor key performance indicators, and support decision‑making for grid modernization initiatives. This role is essential for driving data‑driven strategies that align with national energy policies and the growing demand for renewable energy integration. The position offers a dynamic environment where cutting‑edge technologies such as AI, machine learning, and IoT are leveraged to optimize grid performance. Candidates will have the opportunity to contribute to high‑impact projects, collaborate with cross‑functional experts, and advance their careers within a globally recognized energy leader.

Explore additional career resources at https://liberiajobsearch.com/.

Key Responsibilities

  • Collect, clean, and preprocess large volumes of real‑time and historical grid data from SCADA, AMI, and DER systems.
  • Develop predictive models to forecast load, generation, and outage probabilities using statistical and machine learning techniques.
  • Design and maintain dashboards and visualizations that provide clear insights to grid operators and senior management.
  • Collaborate with engineering teams to integrate analytics outcomes into grid control strategies and operational procedures.
  • Support the implementation of demand‑response programs and renewable integration studies by providing data‑driven recommendations.
  • Monitor key performance indicators such as SAIDI, SAIFI, and renewable curtailment rates, and generate regular performance reports.
  • Ensure data security, compliance with regulatory standards, and adherence to best practices in data governance.
  • Participate in cross‑functional workshops to identify new analytics opportunities and drive continuous improvement.

Required Skills

  • Proficiency in data analysis tools such as Python, R, or MATLAB.
  • Experience with SQL and NoSQL databases for large‑scale data handling.
  • Strong knowledge of power system fundamentals and smart grid technologies.
  • Familiarity with data visualization platforms like Power BI, Tableau, or Grafana.
  • Ability to translate complex data findings into clear business recommendations.
  • Excellent problem‑solving skills and attention to detail.
  • Effective communication and teamwork abilities in a multicultural environment.

Education

A Bachelor’s degree in Electrical Engineering, Computer Science, Data Science, or a related discipline is required. Advanced certifications in data analytics, machine learning, or power systems (e.g., IEEE, CEM) are advantageous.

Experience

Applicants should have 3‑5 years of professional experience in data analytics, preferably within the energy or utilities sector. Experience with smart grid projects, renewable integration, or grid modernization initiatives is highly valued.

Benefits

  • Competitive salary package aligned with industry standards.
  • Comprehensive health insurance for employee and dependents.
  • Retirement savings plan with company contributions.
  • Performance‑based bonuses and incentives.
  • Professional development allowance for certifications and training.
  • Flexible working hours and remote work options where applicable.
  • Employee assistance program and wellness initiatives.

Training

  • On‑boarding program covering Siemens Energy’s corporate culture, safety standards, and technical platforms.
  • Continuous learning opportunities through Siemens’ global e‑learning portal and partnerships with local universities.
  • Mentorship program pairing new hires with senior data scientists and grid engineers.
  • Workshops on emerging technologies such as AI‑driven grid optimization and cyber‑security for critical infrastructure.

Working Environment

The role is based in Ndola’s modern office campus, featuring collaborative workspaces, state‑of‑the‑art meeting rooms, and a dedicated analytics lab equipped with high‑performance computing resources. Employees enjoy a supportive atmosphere that encourages innovation, knowledge sharing, and work‑life balance. Siemens Energy Zambia promotes a culture of safety, inclusivity, and environmental responsibility, aligning with the company’s commitment to sustainable development in Zambia.

Application Process

Interested candidates should submit their updated CV and a cover letter outlining their relevant experience through the online portal. Applications will be reviewed on a rolling basis, and shortlisted candidates will be contacted for a virtual interview. For further details on the application steps, visit https://lesothojobsearch.com/.

Equal Opportunity Statement

Siemens Energy Zambia is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees, regardless of gender, race, religion, age, disability, or sexual orientation. All qualified applicants will receive consideration for employment without regard to any protected characteristic.