BI Analyst at Nedbank

Job Purpose

• To determine tactical and operational business insights through analysing business processes, analysing data flows, defining measurement goals and storyboarding.

Job Responsibilities

• Provide input into the business and enterprise BI requirements and then conduct research to understand industry best practice for value and insight's by applying advance analytics. 
• Produce the high quality, insights outputs including dashboards, reports and analytical solutions that support strategic decision making.  
• Translate complex data into clear, actionable insights through effective data storytelling and visualisation  
• Design and maintain governed semantic data models to enable scalable self-service analytics 
• Enable business users to independently access, interpret and use data effectively 
• Drive adoption of self-service BI through documentation, best practices and stakeholder support 
• Provide input into data architecture to ensure solutions are scalable and fit-for-purpose for analytics 
• Oversee the development of the solution by collaboration with BI Developers, Architects,  modellers and business in accordance with the requirements and obtain SAF approval where necessary  
• Build collaborative cross functional  relationships by assisting clients with resolutions of technical issues enterprise wide  
• Ensure work is completed asper the agreed SLA and OLA 's 
• Gather and document business requirements by facilitating information gathering sessions with the customer 
• Produce a conceptual and a logical model and dataflow diagram of the business processes for enterprise processes 
• Perform data mining techniques, to understand the attributes needed to obtain the measurement goals. 
• Create data mapping document to relate the data to the business requirements  
• Prototype the feasibility of the solution to guide business on the requirements 
• Ensure quality of output and alignment to requirements by conducting / coordinating unit; integration and user acceptance testing 
• Ensure compliance by adherence to Enterprise data  standards; policies and procedures throughout the development lifecycle 
• Support the achievement of the business strategy; objectives and values by reviewing Nedbank and Business Unit 
• Share knowledge and industry trends with team and stakeholders during formal and informal interaction 
• Obtain buy-in for developing new and/or enhanced processes that will improve the functioning of stakeholders' businesses by highlighting benefits in support of the implementation of recommendations 
• Identify opportunities to leverage AI and advanced analytics to enhance insights 
• Apply AI-enabled tools and techniques (e.g. predictive analytics, anomaly detection, automation of insights) 
• Partner with analytics and engineering teams to support implementation of AI-driven use cases  

Essential Qualifications - NQF Level

• Advanced Diplomas/National 1st Degrees

Essential Certifications

• Microsoft Certified Solutions Expert (MCSE): Business Intelligence 
• Microsoft Fabric Certification  
  Certification in a specific BI Tool (e.g. Power BI

Preferred Certifications

• Cloud (Azure, AWS), DEVOPS or Data engineering certification. Any Data Science certification will be an added advantage, Coursera, Udemy, SAS Data Scientist certification, Microsoft Data Scientist.

Minimum Experience Level

• 7 years’ plus  experience
• Deep knowledge of machine learning, statistics, optimization or related field.
• Experience with R, Python, Matlab is required, programming in C, C++, Java.
• Experience working with large data sets, simulation/ optimization and distributed computing tools (Map/Reduce, Hadoop, Hive, Spark, Gurobi, Arena, etc.)
• Excellent written and verbal communication skills along with strong desire to work in cross functional teams.
• Attitude to thrive in a fun, fast-paced start-up like environment      

Technical / Professional Knowledge

• BI Tools (Advanced)
• Managing business Meta Data advanced
• DAX understanding intermediate
• Data Virtualization understanding advanced
• Data Visualization design and build advanced
• Design Thinking advanced
• Database Query advanced
• Business writing skills (intermediate)
• Data analysis Advanced
• Research methodology advanced
• Data Modelling - intermediate
• Data Ethics basic
• Data mining intermediate
• Data profiling - intermediate
• Data story telling -advanced
• Business analysis methodology intermediate
• Domain knowledge advanced

Behavioural Competencies

• Applied Learning
• Building Partnerships
• Building Customer Relationships
• Quality Orientation
• Execution
• Technical/Professional Knowledge and Skills
• Influencing