Welcome to our website fursazaajira.com. In This Article, Are you looking for the Lending Analytics and Modelling Lead Jobs at NBC Tanzania provides a thorough summary of the essential qualifications, responsibilities, and competencies for this position.
NBC is the oldest serving bank in Tanzania with over five decades of experience. We offer a range of retail, business, corporate and investment banking, wealth management products and services.
Job Summary
Usually, this position entails concentrating on the modeling and analytical facets of data inside a business. Transforming data into useful insights to assist NBC’s business choices is a crucial function of this role. Utilizing data and cutting-edge analytics methods, the Lending Analytics and Modelling Lead is in charge of producing actionable insights that inform strategic choices and streamline corporate processes. In addition, this position entails data identification and mining, statistical analysis, data visualization, and the development of superior visualization tools.
Job Description​
- Use statistical and machine learning methods to perform in-depth data analysis in order to find trends, patterns, and anomalies within datasets.
- Create and apply machine learning algorithms, statistical models, and predictive models to glean insightful information from data.
- To guarantee data accuracy, consistency, and analytical readiness, extract, clean, and pre-process data from many sources.
- Make reports and data visualizations that successfully convey insights to stakeholders who are technical and those who are not. Make use of data visualization tools such as Tableau, Power BI, or others.
- To guarantee data integrity and dependability, put data quality checks and validation processes into place. Deal with abnormalities and problems with data quality when they appear.
- Work together with IT teams and data engineers to combine and integrate data from many sources to create a cohesive and complete dataset.
- Conduct ad hoc studies to address certain business inquiries and offer prompt insights when required.
- Make constant improvements to data analysis models and procedures to boost the efficacy and efficiency of data-driven decision-making.
- Respect privacy and data security laws, making sure that procedures for processing and analyzing data adhere to applicable laws and guidelines.
- Work together with different business divisions and departments to comprehend their data requirements, match analytics initiatives with corporate goals, and offer data-driven suggestions.
- For future reference and reporting, keep thorough records of all data analysis procedures, techniques, and outcomes.
- In order to foster data literacy and comprehension across the company, share your knowledge and experience with stakeholders and team members.
- Keep abreast of new developments in data analysis methods, instruments, and technology, and look for chances to advance your career.
- Create both routine and ad hoc reports that highlight the most important conclusions and revelations from data analysis and offer practical suggestions to help decision-makers.
- Oversee the planning, implementation, delivery, and scoping of analytics projects while adhering to project milestones and deadlines.
Education and Experience Required
- Technical experience or a bachelor’s degree in computer science, computer engineering, or data science.
- At least five years of experience supporting analytical systems.
- Five years or more of experience in modeling, data design, and lending.
- Demonstrated expertise in a data analyst, data specialist, or related position.
- Thorough comprehension of database structure concepts.
- Knowledge of collecting and evaluating system requirements.
- Familiarity with modeling and data mining approaches.
- Familiarity with relational and non-relational databases and SQL.
Knowledge, Skills & Competencies:
- Expertise in data analysis methods and resources to investigate, purify, and convert data into useful insights.
- Strong SQL abilities to access, modify, and evaluate data in relational databases.
- Proficiency with data visualization tools, such as Tableau, Power BI, or comparable software, to produce visually appealing and educational dashboards, graphs, and charts.
- The capacity to forecast trends and make data-driven forecasts by building data models and applying statistical techniques.
- Knowing how to collect data from different sources, transform it for analysis, and then put it into reporting systems or data warehouses using ETL procedures.
- Knowledge of data cubes and star schemas, among other data warehousing ideas and structures.
- A thorough comprehension of business goals, operations, and key performance indicators (KPIs) in order to match BI solutions with corporate objectives.
- The capacity to recognize intricate commercial issues and utilize facts to suggest workable tactics and answers.
- Outstanding data storytelling and communication skills to share insights with stakeholders who are not technical.
- Knowledge of several database management platforms, such as NoSQL databases.
- Mastery of statistical analytic methods to extract valuable information from data.
- The capacity to collaborate closely with departments and cross-functional teams in order to collect requirements and comprehend end-user demands.
Qualifications:
Bachelor`s Degrees and Advanced Diplomas – Business, Commerce and Management Studies, Digital familiarity (Meets some of the requirements and would need further development), Experience in a similar environment at junior specialist level, Management information systems Openness to change Personal mastery (Meets all of the requirements), Reasoning.
