Principal Specialist: Data Analysist (Financial Services/Lending) at Black Pen Recruitment

Job Description

Principal Specialist: Data Analyst (Lending)

Our client, a leading technology communications company in Europe and Africa, is looking to hire a Principal Specialist: Data Analyst to join their team in Midrand, Johannesburg, South Africa.

As a Principal Specialist: Data Analyst, you will be required to this role is responsible for advanced and exploratory data analytics, modelling and insights to:

• enhance marketing efforts, campaign efficacy and portfolio performance

• drive business growth and profitability

• monitor product performance, and drive product development and product enhancements

• highlight process inefficiencies

• make data driven adjustments through monitoring and driving insight that enable models that improve risk and create efficiencies

• ensure reporting processes are optimised, through scripting and automation

• act as Data Steward, ensuring all data governance and controls are in place

• partner with Big Data and IT in the customer 360 data models and analytic tools

The objective of this role is to also put the customer at the heart of all operational activities, focusing on  channel optimization and performance. Gaining a full understanding of the technical workings of each  product and effectively communicating this to others. 

Type: Full-Time | Permanent

Requirements

The ideal candidate for this role will have:

• Honours/Masters in quantitative fields like Mathematics, Statistics, Economics, Computer Science Engineering, Artificial Intelligence, Big Data, or related disciplines

• A minimum of 8 years’ experience in delivering solid commercial impact advanced analytics projects

• Expertise in data manipulation: use of structured data tools (e.g. SQL), & unstructured data tools and platforms (e.g., Hadoop, Spark, NoSQL)

• Expertise in major statistical modelling software packages (e.g. R, SAS) and multivariate techniques (e.g. k-means segmentation, multiple regression, factor analysis, time-series forecasting) - preferred

• Experience in digital analytics and its applications, e.g., google analytics, adobe analytics, social listening, social network analysis)

• Intellectual curiosity, along with excellent problem-solving and quantitative skills, including the ability to disaggregate issues, identify root causes and recommend solutions

• Experience of working on complex data modelling projects to support strategic, financial and regulatory mandates

• 8 years experience required Advanced SQL skills including extensive experience querying large, complex data sets

• Skillset: R, Python, SQL

• Experience in working in visualisation tools like Qlik Sense or PowerBI

• Distinctive communications skills and ability to communicate analytical and technical content in an easy to understand way

• Capable of working under pressure, with stakeholders across many disciplines

Your responsibilities will include:

• Reporting & analytics: Ensure that performance monitoring is in place for all products; with desired cadence and frequency

• Data modelling: Build complex data models, while optimising the efficiency and quality of data collection.

• BI Solutions: Partner with Qlik developers and solution architects to design transformational analytical solutions

• Predictive forecasting: Incorporate predictive forecasting to enhance performance management and maintain models to improve forecast accuracy

• Actionable Insights: Deliver daily and monthly insights from data models to support commercial action and financial steering

• AI into BI: Incorporate new technologies such as machine learning and robotics to increase process efficiencies, enhance predictive forecasting and improve quality of insights

Key performance indicators:

• Data quality for month end submissions

• Reporting of key metrics across all products and channels

• Deep Dive analytics to provide actionable insights

Please Note: Only shortlisted candidates will be contacted.

If this sparks your interest, apply today! we’d love to hear from you!