Job Openings Data Analyst (Mid-level)

About the job Data Analyst (Mid-level)

EMPLOYMENT TYPE:

Permanent

LOCATION:

Parow, Cape Town

WORKING MODEL:

On-site (5 days per week)

JOB OVERVIEW:

We are looking for a commercially driven E-commerce Data Analyst to join a high-impact Data Squad within a large omnichannel retail environment.

This role is embedded directly within the business, specifically aligned to the logistics/delivery and e-commerce product space, where you will work closely with stakeholders to drive data-led decision-making across the full e-commerce lifecycle.

You will operate at the intersection of data, product, and business, working with high-volume transactional datasets to uncover insights, optimise performance, and support strategic initiatives across areas such as online sales, fulfilment, and customer experience.

This is a hands-on, end-to-end role covering requirements gathering, data analysis, testing, implementation, reporting, and stakeholder engagement.

DESCRIPTION OF POSITION:

Analytics & Insights

    • Analyse e-commerce and logistics performance, including customer behaviour, product performance, fulfilment efficiency, and delivery operations
    • Work with large-scale transactional datasets to identify trends, risks, and opportunities
    • Generate both ad-hoc and recurring insights to support commercial decision-making

Reporting & Visualisation

    • Design, build, and maintain BI dashboards and reports to enable self-service analytics
    • Translate complex data into clear, actionable insights for stakeholders across different levels of the business
    • Continuously improve reporting frameworks to align with evolving business needs

Data System & Delivery

    • Collaborate with product, engineering, and business teams to define:
      • Data requirements
      • Data structures (tables, datasets)
      • Tracking and measurement frameworks
    • Support the full lifecycle: requirements specification testing implementation
    • Ensure data quality, consistency, and usability across business-critical reporting

Business Engagement

    • Act as a bridge between technical teams and business stakeholders
    • Partner closely with product owners and operational teams (particularly within PAXI)
    • Present insights and recommendations to both technical and non-technical audiences
    • Proactively engage with stakeholders to understand challenges and identify opportunities

Performance Measurement

    • Define and track KPIs across e-commerce and logistics functions
    • Measure the impact of initiatives such as product launches, promotions, and operational improvements
    • Recommend optimisations based on data-driven insights

Advanced Analytics

    • Contribute to more advanced analytical use cases such as:
      • Demand forecasting
      • Conversion optimisation
      • Customer behaviour analysis

KNOWLEDGE AND SKILLS:

Technical Expertise

    • Strong SQL skills (essential)
    • Experience working with high-volume data environments
    • Exposure to cloud platforms (GCP preferred)
    • Experience with BI and data visualisation tools (Power BI, Looker, Tableau)
    • Familiarity with Google Analytics (GA4) and digital tracking
    • Exposure to Shopify or similar e-commerce platforms (advantageous)
    • Strong foundation in statistics, data modelling, and data quality management

Soft Skills

    • Strong business acumen with the ability to translate data into commercial value
    • Confident communicator, able to present to multiple levels within the organisation
    • Highly analytical and numerically strong
    • Naturally curious, inquisitive, and eager to learn
    • Adaptable and comfortable in a fast-paced, evolving environment
    • Self-motivated with a proactive approach to problem-solving
    • Collaborative team player in a flat organisational structure

QUALIFICATIONS REQUIRED:

Relevant tertiary qualification in a commercial, analytical, or technical field

EXPERIENCE REQUIRED:

    • Minimum 5+ years' experience in a Data Analyst, BI Analyst, or similar role
    • Proven experience in e-commerce, retail, or high-volume transactional environments
    • Experience working closely with business stakeholders and product teams
    • Demonstrated ability to deliver end-to-end data solutions

ADVANTAGEOUS SKILLS:

    • Experience within bricks-and-mortar retail environments
    • Exposure to logistics or delivery platforms (e.g. PAXI-type environments)
    • Hybrid Data Analyst / Business Analyst experience

ADDITIONAL INSIGHTS (CULTURE FIT):

The ideal candidate is:

    • Curious and asks the right questions
    • Commercially minded and solutions-driven
    • Comfortable being embedded in the business rather than operating in a silo
    • Eager to engage, learn, and make a measurable impact

INTERVIEW PROCESS:

    • Psychometric assessment
    • On-site Technical interview - Business case / simulation
    • Final panel interview

**Please note: If you have not heard from us within 2 weeks, please consider your application unsuccessful.


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