Specialist Business Intelligence Analyst

SUMMARY:
Leverage deep data science expertise in advanced statistics, data wrangling, data mining, data analysis, feature engineering & predictive modeling, storytelling, distributed computing & data visualisation, machine learning tools & data intuition to define, build, operationalize & continuously improve data solutions that deliver relevant, quality assured, accurate & commercially impactful data to the business. The role entails advanced Report development and data sourcing across the CIB Trade Finance space based on stakeholder requirements. 

POSITION INFO:

Position: Specialist Business Intelligence Analyst
Industry: Corporate Investment Banking
Sector: Finance/IT
Location: Johannesburg, Gauteng (Remote)
Salary: R 400 p/h – R 550 p/h
Closing date: Friday, 23 July 2021
 
INTRODUCTION:
Leverage deep data science expertise in advanced statistics, data wrangling, data mining, data analysis, feature engineering &predictive modeling, storytelling, distributed computing & data visualisation, machine learning tools & data intuition to define, build, operationalize & continuously improve data solutions that deliver relevant, quality assured, accurate & commercially impactful data to the business.
The role entails advanced Report development and data sourcing across the CIB Trade Finance space based on stakeholder requirements. 
 
Critical Requirements: 

• Qlikview Development 
• MS SQL knowledge and writing scripts 
• Ability to work independently 
• Good communication skills 

• Hadoop, Scala, Python 

• 3-5 years’ experience in Qlikview development
• Relevant B-Degree in Statistics, Mathematics, Computer Science OR; equivalent level of industry certification in Technical field 
• 3-5 years’ experience manipulating data sets and building statistical models 
• 3+ years’ experience working in a data environment – optimising and building data sets with knowledge of & experience in the one or more of the following areas relevant to the business being supported e.g. Qlikview 
• 3+ years’ experience working in data environment – optimising & transforming data by leveraging one or more of the following data science skills: 
• o Leveraging data pipelines and data sets 
• o Data Mining 
• o Data Optimisation 
• o Data Analysis & Interpretation 
• o Statistics 
• o Feature Engineering 
• o Predictive Modelling 
• o Distributed Computing 
• o Machine Learning 
• o Data Intuition
• o Data Quality Assurance 
• Excellent communication, analytical skills and decision making ability in collaborative environments - Practical knowledge in mathematical & statistical software, databases and comfortable working with large data sets 
• Experience and interest in relational database management systems / relational databases 

• Participate in design thinking processes to determine & confirm hypotheses and priority questions / data challenges & related metrics to be solved for 
• Translate business questions to be solved into data requirements & define a data solutions to deliver against these requirements 
• Proactively partner with the data engineering team to refine the data requirements deliver raw data to Data Science teams for interpretation & analysis 
• Design fit for purpose data interpretation & analysis approaches & create customized data models, algorithms, machine learning tools and recommendation engines to achieve the desired business outcomes 
• Use advanced data science skills to mine & interpret data. These include but are not limited to: advanced statistics, data wrangling, data mining, data analysis, feature engineering & predictive modeling, distributed computing, machine learning tools & data intuition 
• Analyse & interpret complex data sets 
• Apply quality assurance frameworks to test model & analysis techniques (e.g. algorithms, models) & overall data quality 
• Apply the testing frameworks to monitor and analyse model performance & data integrity on all data assignments 
• Produce business insights and recommendations based on data analysis & modeling concluded & where relevant with knowledge and experience of e.g. Java, Scala, Python, Hadoop, Apache Spark & Kafka 
• Use storytelling and data visualization techniques to maximize impact & deliver a user friendly product to business 
• Contribute to the consolidation of data solutions into viable end products (in the language of business) that can be leveraged on an ongoing basis e.g. dashboards, reports etc. 
• Present data analysis (trends, insights, forecasts) & findings to business & show tangible business impact to be derived from the data science process 
• Facilitate peer reviews & feedback on data solutions 
• Refine data analysis based on business & peer reviews 
• Contribute to the assessments of the effectiveness and accuracy of new data sources & data gathering techniques 
• Promote data literacy with your business stakeholders by sharing best practices and showing tangible business impact & recommendations as a direct result of the data solutions provided 
• Stay ahead of the curve on data science trends & leading practice data science tools and techniques & transition the organisation to advanced methods for the continuous optimization of data

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