About the Company
We help our clients understand the rich data we collect from the traditional retail market in South Africa and Africa broadly. The ideal candidate will have a strong analytical and mathematical background to help drive value from our data. This person will wear many hats in the role, but much of the focus will be on building out our Python ETL processes and writing superb SQL. In addition, the candidate will be responsible for maintaining and building out our reporting DB. Beyond technical prowess, the data engineer will need soft skills for clearly
communicating highly complex data trends to organisational leaders and to clients. We’re looking for someone willing to jump right in and make an impact in the traditional retail market through powerful data pipelines.
About the Role
To generate insight and logic through our unique informal market data asset whilst establishing and implementing the analytical models required to enrich and automate our insights that improve our responsiveness and understanding of the data. To establish deep routed understanding in the data to drive strategy that fundamentally overhauls our decision-making processes based on logic and insight. Aligning our own data with external data sets that can enrich our understanding of the data is also required to draw correlations and market insights that are predictable. Through this understanding, commodify the data into easy-to-understand reports and dashboards aligned to our client’s needs.
Key Responsibilities
Strategic Projects
Evaluate, embrace, and implement new data technologies designed to deliver a customer experience that significantly outpaces the competition
Data Processing & Management
Implement tools and solutions required to automate insight and create intelligence in our process engineering.
Gathering/Extracting data from the database for analysis.
Cleaning and preparation of data for analysis.
Quality controlling our data processeses and tables.
Identify, analyse, and interpretation of market data for clients.
Producing accurate BI reports & Dashboards, within agreed upon timeframes, which are:
Data valuable
Understandable to both a technical and non-technical audience
Insightful and supports quality decision making for internal and external stakeholders
Create project tracking reporting for all stakeholders.
Setting up processes and systems to make working with data more efficient.
Exploring and interpreting data to identify trends and opportunities for business improvement.
Identifying data shortcomings and alerts within campaigns to drive proactive responses.
Provide recommendations on campaign performance improvements, based on client data and industry standards.
Researching new ways to make use of data, to improve business performance.
Managing the team to ensure that quality deliverables are produced timeously.
Stakeholder Engagement
Responding timeously to data-related requests and queries and keeping track of all requests.
Collaborating with key stakeholders on all aspects of report creation, incl. deadlines, deliverables, edits, recommendations.
Scoping out the required data models required to drive efficiency with stakeholder buy-in.
Attending meetings with internal & external stakeholders to ensure understanding of the project data and requirements.
Presenting information and communicating findings generated from data to stakeholders, suited to a technical and non-technical audience.
Candidate Requirements
Skills & Competencies
Competent in SQL coding
Advanced Excel (Data handling).
Focused with a self-driven attitude.
Works independently and is hands on.
Excellent verbal and written communication skills.
Adaptable – working with several projects at once.
Willingness to think outside the box.
Good organising skills.
High level of mathematical ability.
Ability to analyse, model and interpret data.
Problem-solving skills.
A methodical and logical approach.
Ability to plan work and deadline driven.
Accuracy and attention to detail.
Interpersonal skills.
Ability to manage team and produce results.
Technical Knowledge – (SQL; Tableau; Power BI)
Hungry to learn and upskill within their discipline.
Qualifications & Experience
Relevant bachelor’s degree (Industrial engineering, Statistics, Mathematics, Data Science etc.).
Minimum 3-5 year’s relevant work experience.
