Key Responsibilities:
Data Analysis and Interpretation:

• Conduct in-depth analysis of large and complex datasets related to customer behavior, 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 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 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 accuracy and reliability of data.
• Identify and resolve data anomalies and discrepancies.

Forecasting and Predictive Modeling:

• Develop forecasting models to predict trends and customer behaviors.
• Implement predictive modeling 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 

Required 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 modeling 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
• Staff discounts
• Employee Health and Wellness Assistance
• Learning and Development opportunities
• Mentorship programme
• Community initiatives
• Access to cutting edge technology
• Hybrid (after 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!
Rentoza is an equal opportunity employer whose aim is to promote and achieve equal representation in all levels of all occupational categories. Preference will be given to candidates whose appointment will assist the Company in achieving its Employment Equity targets in terms of the Company Employment Equity Plan. 
 
By responding to this advertisement, you consent to Rentoza lawfully processing your personal information in accordance with the Protection of Personal Information Act 4 of 2013 for recruitment purposes and confirm that any personal information has been submitted voluntarily. 
 
The company reserves the right not to make an appointment. An application will not in itself entitle the applicant to an interview or an appointment and failure to meet the minimum requirements of the post will result in the applicant automatically disqualifying him/herself from consideration.If you don’t hear back from us in 30 days, please consider your application unsuccessful.

Click Go Apply to apply online!

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