Welcome to Rentoza!
We're a South African company that's changing the game in e-commerce.
Our subscription service for digital goods and appliances is making access, affordability, and flexibility a reality for our customers.
The Role We are seeking a highly skilled and experienced Senior Data Analyst to join our growing team.
As a Senior Data Analyst, you will play a crucial role in leveraging data to drive strategic decision-making, create new products and enhance our overall business growth and performance.
Key Responsibilities: Data Analysis and Interpretation: Conduct in-depth analysis of large and complex datasets related to customer behaviour, sales, product, and website performance.
Utilise advanced statistical and machine learning techniques to extract meaningful insights.
Marketing Analytics Expertise: Experience working with Google Analytics 4 Experience with Google Tag Manager is beneficial Experience with advertising platforms like Google Ads, Meta, Tiktok etc.
User Research Experience: Demonstrated experience conducting user research in the form of qualitative analysis User interview experience is beneficial User experience research Google Cloud Expertise: Proficiently work with Google Cloud Platform (GCP) tools and services, including BigQuery, Dataflow, and Pub/Sub.
Design and implement scalable and efficient data processing pipelines.
Cross-functional Collaboration: Collaborate with cross-functional teams including Marketing, Product, and Operations to understand business requirements and translate them into actionable insights.
Provide data-driven recommendations to improve overall business strategies.
Dashboard Development: Design and develop interactive and visually appealing dashboards using tools such as Google Data Studio and/or Looker BI.
Ensure the accessibility and usability of dashboards for stakeholders.
Data Quality Assurance: Implement and maintain data quality assurance processes to ensure the accuracy and reliability of data.
Identify and resolve data anomalies and discrepancies.
Forecasting and Predictive Modeling: Develop forecasting models to predict trends and customer behaviours.
Implement predictive modelling techniques to enhance decision-making processes.
Performance Monitoring: Monitor and report on key performance indicators (KPIs) related to sales, customer acquisition, and website performance.
Provide regular updates to leadership on data-driven insights.
Experimentation Experience Advantageous: Forming hypothesis Developing experimentation roadmaps Conducting experiments Ad-hoc Analysis: Conduct ad-hoc analysis to address specific business questions and challenges.
Proactively identify areas for optimization and improvement.
Create and test hypotheses for implementation within each of the core business domains across our e-commerce platform Qualifications and Skills: Bachelor's or Master's degree in Statistics, Mathematics, Computer Science, or a related field.
Proven experience as a Data Analyst in the e-commerce industry.
Strong proficiency in Google Cloud Platform tools and services.
Advanced skills in SQL, Python, or R for data analysis and manipulation.
Experience with machine learning and predictive modelling techniques.
Excellent communication skills and the ability to present complex findings in a clear and understandable manner.
Strong attention to detail and a commitment to delivering high-quality, accurate analyses.
Benefits Offices: Johannesburg Cape Town Durban Perks: Free Friday lunches Monthly socials Discovery Medical aid: 100% cover (permanent staff) Provident Fund (permanent staff) Paid annual leave Employee Health and Wellness Assistance Learning and Development opportunities Mentorship programme Community initiatives Access to cutting-edge technology Hybrid (after the probationary period, if applicable) If you're passionate about technology and want to work in a fast-paced environment where you can make a real difference, Rentoza is the place for you.
Join our team and be part of something truly exciting!
At Rentoza, we try our best to get back to everyone who applies for our exciting positions.
However, we receive quite a number of applications which makes it impossible to respond to all the potential candidates.
If you don't hear back from us in 30 days, please consider your application unsuccessful.