Senior BI and Data Analyst: JHB - Nedbank

Job Purpose

To manage and oversee multiple complex projects as a Data Analysis Manager, to ensure that relevant and high-quality data is available in a timely manner from the Golden Sources into the Enterprise Data Warehouse and Lines of Business. The Data Analysis Manager is responsible for optimizing the end-to-end data analysis process and managing the team to align with organizational goals. Leverage leadership skills to foster a collaborative environment, mentor junior and intermediate data analysts, conduct performance reviews, and support career growth.

Additionally, the Data Analysis Manager will contribute to best practices in data analysis, lead a cohesive team, and align with organizational strategies and goals.

Job Responsibilities

• Responsible for  overseeing the Data Analyst teams and their initiatives across squads 
• Responsible for Data Analysts resource planning and allocation 
• Participate and take the lead in planning processes to define data requirements and priorities and ensure that data analysis deliverables are completed according to the project plan and budget to meet stakeholder commitments. 
• Ensure Data Analyst initiatives across squads and teams are aligned with the business objectives and the data strategy is achieved.   
• Drive the Nedbank Data Strategy, Data Architecture Road-map and Implement Data Analysis Best Practices for Nedbank.  
• Develop and implement strategies for data discovery and profiling to optimize understanding of the data to better enable ingestion, provisioning or further analytical processing 
• Ensure that data profiling activities contribute to the definition of data standards and identify potential data quality issues, report on and  propose possible solutions. 
• Contribute to the definition of a governance framework, data analysis standards and principles, guidelines, training content, and delivery of training. 
• Drive understanding of the purpose, behavior, and user interactions with the data to optimize self-service offerings and improve Nedbank users' experience in accessing data, provde support to users in understanding and accessing data Report on data analysis activities to provide visibility and deliver insights in improving efficiency and effectiveness of data analysis delivery 
• Oversee the Data Analysis Life-cycle and ensure continuous improvement. 
• Collaborate with Business teams, Data Scientists, Engineers, Modelers, Architects, Governance, and Centers of Excellence (COEs); Act as a key liaison between between teams to ensure data discovery supports business insights. 
• Ensure compliance with all data policies,  privacy standards, and ownership guidelines. 
• Ensures the appropriate tools, access, and systems are in place to support various data analysis activities and ensure technical issues are addressed promptly; Guide the use of data discovery tools and techniques to improve analysis outcomes. 
• Implement opportunities to improve business processes, models and systems through agile thinking. 
• Collaborate with stakeholders across Nedbank to understand the specific business objectives for the warehouse data, including the questions and needs it addresses.  
• Ensure that the Data Discovery process is iterative and that Data Analysts continuously refine their analysis to explore new data profiling techniques, be familiar with all the tools and systems within the Nedbank Data Ecosystem, and enhance the quality of their work and its impact on Data Engineers and Squads. 
• Advise stakeholders and other staff on application of data analysis practices through consultation. 
• Contribute to the Nedbank Culture building initiatives (e.g. staff surveys etc.). 
• Participate and support corporate responsibility initiatives for the achievement of business strategy 
• Provide Overall Data Management Guidance and alignment to Nedbank's Data Management framework and standards 
• Mentor, guide, and provide training to  junior and entry-level Data Analysts to enhance their analytical and technical skills and manage their performance, growth and development. 

Essential Qualifications - NQF Level

• Advanced Diplomas/National 1st Degrees

Preferred Qualification

• Field of Study:BSc, BCom

Essential Certifications

• DAMA certified data management professional (CDMP) or similar data management certification

Preferred Certifications

• Cloud (Azure, AWS), DEVOPS or Data engineering certification, DAMA, Any Data Science certification, SAS certification, SQL, any Microsoft Power Tools will be an added advantage 

Minimum Experience Level

• Total number of years of experience: 7-10 Years
• Management experience as part of the above years: 3-5 Years

Type of experience:

• Proficiency in SQL and experience with database management and data profiling tools.  
• Experience with data warehousing solutions to store and manage large volumes of data 
• Firm understanding of ETL processes and data integration concepts.  
• Firm understanding of data management and governance practices.  
• Experience with data visualization and reporting tools (e.g., Tableau, Power BI) is a plus. 
• Basic knowledge of data modeling and data warehouse architectures (e.g., star schema, snowflake schema). 
• Strong analytical and problem-solving skills with attention to detail. 
• Excellent communication skills and ability to work collaboratively in a team environment. 
• Experience with leading teams of Data Analysts and perfomance management 
• Experience with data warehousing solutions to store and manage large volumes of data

Technical / Professional Knowledge

• Cloud Data Engineering (Azure , AWS, Google)
• Data Warehousing
• Databases (PostgreSQL, MS SQL, IBM DB2)
• Data Pipelines and ETL tools (Ab Initio, ADB, ADF, SAS ETL)
• Programming (e.g., Python, R)
• Data Analysis and Data Modelling
• Data profiling - intermediate
• Data Visualisation
• Data Governance and Compliance

Behavioural Competencies

• Influencing
• Coaching
• Technical/Professional Knowledge and Skills
• Innovation
• Decision Making
• Managing Work
• Collaborating
• Planning and Organizing