Data Analyst

Rentoza; Johannesburg; Hybrid; ZAR 30 000 - 70 000; Full time

Job summary

An innovative company is seeking a skilled Data Analyst to drive strategic decision-making through data insights. This role offers the opportunity to work with advanced statistical and machine learning techniques, analyze complex datasets, and collaborate with diverse teams. You'll design interactive dashboards, ensure data quality, and contribute to product development. Join a forward-thinking organization that values technology and offers a dynamic work environment where your contributions will make a real impact. Embrace the chance to grow in your career while working with cutting-edge technology and participating in exciting community initiatives.

Benefits

Free Friday lunches

Monthly socials

100% medical aid cover

Paid annual leave

Employee Health and Wellness Assistance

Learning and Development opportunities

Community initiatives

Access to cutting edge technology

Qualifications

• Experience as a Data Analyst in the e-commerce industry.
• Strong proficiency in Google Cloud Platform tools.
• Advanced skills in SQL, Python, or R.

Responsibilities

• Conduct in-depth analysis of large datasets related to customer behavior.
• Collaborate with cross-functional teams to provide data-driven insights.
• Develop forecasting models to predict trends and customer behaviors.

Skills

Data Analysis

Statistical Techniques

Machine Learning

SQL

Python

R

Google Analytics 4

User Research

Communication Skills

Education

Bachelor's degree in Statistics

Master's degree in Computer Science

Tools

Google Cloud Platform

BigQuery

Google Data Studio

Google Tag Manager

Job description

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 Data Analyst to join our growing team. As a 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 behavior, sales, product, and website performance.
• Utilise advanced statistical and machine learning techniques to extract meaningful insights.
• 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
• 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.
• 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
• Free Friday lunches
• Monthly socials
• Discovery Medical aid : 100% cover (permanent staff)
• Paid annual leave
• Employee Health and Wellness Assistance
• Learning and Development opportunities
• 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.

Create a job alert for this search