Enterprise Analytics’ Lead at NBC Bank
Full time
Dar es Salaam
Job description
This role typically involves focusing on the technical and analytical aspects of data within an organization. This role plays a critical part in transforming data into actionable insights to support NBC business decisions. The Enterprise Analytics Lead is responsible for harnessing data and employing advanced analytics techniques to provide actionable insights that drive strategic decision-making and optimize business operations. This role also involves identifying and mining data, performing statistical analyses, applying data visualization techniques, and helping build high quality visualization systems.
Duties and Responsibilities
Conduct in-depth data analysis to identify trends, patterns, and anomalies within datasets, using statistical and machine learning techniques.
Develop and implement predictive models, statistical models, and machine learning algorithms to extract valuable insights from data.
Extract, clean, and pre-process data from various sources to ensure data accuracy, consistency, and readiness for analysis.
Create data visualizations and reports that effectively communicate insights to both technical and non-technical stakeholders. Use tools like Tableau, Power BI, or other data visualization software.
Implement data quality checks and validation procedures to ensure data integrity and reliability. Address data quality issues and anomalies as they arise.
Collaborate with data engineers and IT teams to integrate and consolidate data from multiple sources, ensuring a unified and comprehensive dataset.
Perform ad-hoc analyses to answer specific business questions and provide quick insights when necessary.
Continuously improve data analysis processes and models to enhance the efficiency and effectiveness of data-driven decision-making.
Adhere to data security and privacy regulations, ensuring that data handling and analysis practices comply with relevant laws and policies.
Collaborate with various departments and business units to understand their data needs, align analytics efforts with business objectives, and provide data-driven recommendations.
Maintain detailed documentation of data analysis processes, methodologies, and results for future reference and reporting.
Share knowledge and expertise with team members and stakeholders, promoting data literacy and understanding within the organization.
Stay updated on emerging data analysis techniques, tools, and technologies, and seek opportunities for professional development.
Generate regular and ad-hoc reports that summarize key findings and insights from data analyses, providing actionable recommendations to support decision-makers.
Manage analytics projects, including scoping, planning, execution, and delivery, while meeting project deadlines and milestones.
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