JOB DESCRIPTION & SKILLS/QUALIFICATIONS REQUIRED
The Role
We are currently looking for a Business Analyst to form a critical part of the Data & Analytics team. This role is an excellent opportunity for a person with financial services background to join our team reporting directly to the Group Head of Data Science & Analytics and directly drive business performance improvement through creating accurate predictions of customer behaviour that the business act upon.
Responsibilities
Data identification and exploration
Work with local Business Unit teams and the wider Data team to identify and extract potentially valuable data from source systems
Ensure data preparation is performed to enable successful predictive modelling
Document data preparation methods and techniques
Analytical application
Support Business Units in identifying and implementing the most appropriate analytical approach for the use case
Enable deployment of analytical solutions through marketing and operational campaigns
Ensure a robust, valid test design is implemented to measure success and optimise performance
Analytical enablement
Identify and build analytical solutions into automated tools or apps that can be deployed in other Pepper Advantage units
Provide machine learning and analytical tools training and on-going support to Business Unit users
Document all learnings for the knowledge warehouse
Analytical innovation
Evaluate new data science techniques, tools and systems to constantly improve accuracy, speed and ultimately, business impact by providing Business Unit teams with training, best practice and expertise in the adopted frameworks
Skills and Experience required
A degree in a quantitative field, incorporating a statistical module
Excellent English (verbal and written) communication skills; able to clearly present detailed analysis to non-analytical audiences
Ability to apply machine learning (supervised and unsupervised) and statistical modelling techniques to address business problems
Ability to translate outputs of data analysis into commercial knowledge and understanding, and use that to make actionable recommendations
Proven delivery of projects requiring extensive data gathering and preparation
Evidenced creative problem solver, being able to identify innovative solutions to complex challenges
Advanced problem solving skills
Good presentation skills
Technical Competencies
Data Management – SQL, Alteryx (would be a plus)
Statistical Programming – Python, R or similar
Tools – DataRobot or similar augmented AI tools advantageous
Desired, but not essential
Masters in Data Science or related discipline
Exposure to an agency environment or internal function with distributed stakeholder relationships within a financial services background
More Information
- Job Application Details How to Apply: Your professional CV outlining qualifications must be submitted via email to [email protected] which must include details of 3 non-related professional referees. All applications must be submitted by 2nd November 2022 and only shortlisted applicants will be contacted.