REPORTING TO: Head of Data & Insights
JOB PURPOSE: Reporting to the Head of Data & Insights, the role holder will deliver quality analytics and machine learning-based models to drive insights and lay the foundation for a data-driven culture. The role holder will be responsible for the design, development and delivery of descriptive and predictive analytics and models using the latest technologies, and statistical and machine learning techniques to support business strategy transform data into enterprise assets and solve complex problems.
LOCATION: Kampala
KEY ACCOUNTABILITIES
- Design, maintenance, and enhancement of data analytics platforms that include.
- Data analytics pipelines for data Extraction, Transformation and Loading (ETL) to ensure high data quality, optimal performance, and reduced redundancy
- Data warehouse/ data lake for storage and
- Data consumption tools for building dashboards, reports, and models.
- Build automated dashboards and reports to monitor and track important business metrics to improve efficiency and encourage self-service by users.
- Design, build, integrate and sustain advanced analytics models using statistical and machine learning techniques that include but are not limited to Retention/Churn/Attrition models, Customer lifetime value models, Customer profiling, Clustering/Segmentation and Propensity models.
- Proactively identify data issues and anomalies and raise these to the data governance and data quality teams for remediation to ensure the accuracy of insights, reports, analyses, and models.
- Pay attention to all the bank’s system development and acquisition projects to provide guidance on the most efficient data structures to be adopted and/or acquired.
- Keep up to date with the latest technical developments within analytics and make sure that changes to the industry’s best practices are adopted.
- Ensure adherence to the data governance framework, policies, and procedures.
- Ensure that insights, analytics, and models adhere to the defined and agreed service level agreements (SLAs).
- Coach and develop less experienced data and business analysts to ensure that they are well-equipped for analytics and to support business growth.
KNOWLEDGE, SKILLS, AND EXPERIENCE REQUIRED:
- Bachelor’s degree in Computer Science, Statistics, Mathematics, Informatics, Quantitative Economics
- Master’s degree in any of the above disciplines is an added advantage.
- Other qualifications, certifications, or professional memberships that relate to Data Analytics, Data Science, Data Engineering, Machine Learning and Data Governance
- Big data Analytics. Knowledge of other programming languages advantageous
- Solid Knowledge of Machine learning and Statistical model development
- Technical knowledge of SQL Server, ETL processes, data models and database design development,
- Proficiency with data visualisation tools preferably Power BI
- Minimum 1-year experience in a similar field
- Ability to explain technical concepts to non-technical users.
- Must be able to develop creative solutions to problems.
- Must be able to handle pressure and work under minimum supervision.
- High organizational and negotiation skills
Application Details:
If you believe you meet the requirements as noted above, please forward your application with a detailed CV including your present position and copies of relevant professional/academic certificates (University Transcript, O & A level), by close of business on Friday 19th July 2024 to the email address indicated below;
dfcu Bank is committed to giving equal opportunities in employment and aims to ensure that it does not discriminate against gender or race. Only short-listed candidates will be contacted through +256 312 300391.
Disclaimer: dfcu Bank does not solicit/accept payment in cash/kind from prospective candidates in exchange for shortlisting or job placement. Any candidate who engages in this kind of transaction is aiding and abetting fraud and will be automatically disqualified.
