Buoyed by a mission to redefine customer experience and be the provider of choice wherever energy is consumed, Ikeja Electricity Distribution Plc (Ikeja Electric), Nigeria's largest power distribution network powers lives and businesses with innovation and unwavering drive for excellence. The company began its new phase of growth and expansion on November 1st, 2013 following the handover of the defunct Power Holding Company Of Nigeria (PHCN) to NEDC/ KEPCO Consortium under the privatization scheme of the Federal Government of Nigeria. The consortium has the Korean Electric Power Corporation (KEPCO) which generates about 84,000MW in capacity and has a global efficiency record of a maximum down time period of slightly above three minutes annually as technical partners. This partnership has positioned IE to effectively drive its commitment to deliver efficient and sustainable power supply through investments in new technology, infrastructure upgrade and human capital development. Ikeja Electric has over 600,000 customers who the company is committed to serve with a New Spirit, New Drive and New Energy. This resolve continues to elicit a passion for service excellence and new thinking on how to empower lives and businesses across the IE network.
- As a Business Intelligence Developer, you will play a key role in driving data-driven decision-making within Ikeja Electric.
- You will design, develop, and maintain business intelligence solutions that transform raw data into meaningful insights, enabling the business to optimize operations and improve performance.
You’ll contribute to:
- Leading and participating in BI development initiatives, including data warehousing, visualization, and predictive analytics.
- Performing analytics on business data, including electricity consumption, utilization, asset performance, and industry trends.
- Designing, developing, and automating ETL processes to structure data for analytics and reporting.
- Developing and maintaining business data models and reporting tools to meet organizational needs.
- Ensuring the integrity, security, and compliance of data across all BI solutions.
- Serving as a BI project architect, collaborating with IT teams, analysts, and business stakeholders to define requirements and deliver solutions.
- Documenting data structures and technical specifications for BI interfaces and data warehouses.
- Providing operational support for BI solutions, ensuring adaptability during upgrades or regulatory changes.
Skills & Competencies
- The role affords you to develop technical and behavioral competencies, that is, skills, knowledge, and behaviors required to successfully perform in the role and contribute to the organization's goals.
Technical Competencies
- Demonstrated experience in data warehousing, data analytics and concepts for BI.
Behavioral Competencies
- Customer Centricity: Translates business needs into actionable BI insights.
- Risk Management: Ensures secure and compliant BI processes.
- Entrepreneurship: Drives innovative use of data for strategic advantage.
- Organizational Learning: Documents and shares knowledge to improve BI solutions.
- Change Management: Adapts BI tools during system upgrades and regulatory changes.
- People Leadership: Collaborates across teams to deliver aligned BI solutions.
Minimum Requirement
- This opportunity is a Supervisory role suited for a Middle Level Management.
- You will design, develop, and maintain business intelligence solutions that transform raw data into meaningful insights, enabling the business to optimize operations and improve.
- This role directly reports to the Lead, Business Intelligence. Successful applicants will typically possess the following criteria:
Education:
- Bachelor’s degree/ HND in Engineering and/or Computer Science/Decision Science/Programming discipline
- Proficiency in data technology stacks – SQL, Python, and data visualization tools
Work Experience:
- A minimum of 5 years of relevant work. experience with design, development, automation, and support of applications to extract, transform, and load data
Method of Application
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