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Day 6
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Cape Town, ZA
Actively hiring, first seen by us 6 days agoWork setup in the employer’s posting: On-siteFrom the employer’s posting
Employment type in the employer’s posting: Full-TimeFrom the employer’s posting
Uncover trends and answer business questions with data
Transform raw data into reliable, well-structured datasets
Build scalable data models and optimise transformations
you’ll use data to uncover trends, answer business questions and deliver insights
you’ll help transform raw data into reliable, well-structured and trusted datasets
We’re interested in professionals who enjoy building scalable data models, optimising transformations
A qualification in a quantitative field, such as Mathematics, Statistics, Engineering, Computer Science, Finance or Economics, or equivalent relevant experience.
Strong SQL skills and an understanding of data modelling
Hands-on experience with BI tools such as Power BI, Tableau or Qlik.
Advanced SQL skills and strong experience in data transformations.
Experience with Snowflake, Matillion or similar data transformation and orchestration tools, and ELT pipelines.
Actively hiringFirst seen by us 6 days ago, still listed, and not a repost of an earlier posting.
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
Day 6
Similar jobs usually come down between day 5 and day 41.
From 10,535 similar postings that came down. Coming down is not always a hire.
2 open jobs
Open jobs by the week we first saw them, last 12 weeks.
Hiring recordAdd your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Hands-on experience with BI tools such as Power BI, Tableau or Qlik. - Advanced Excel skills, with exposure to Python or R considered an advantage. - A curious, commercially minded approach — you don’t just analyse data; you ask why it matters and how it can make a difference.
Bonus points for - Python experience for data automation. - Exposure to Power BI or similar BI tools.
- For Intermediate roles, typically 2+ years’ experience in Business Intelligence or Data Analytics, with greater depth of experience expected at Senior level. - Strong SQL skills and an understanding of data modelling, with Kimball methodology being an advantage. - Hands-on experience with BI tools such as Power BI, Tableau or Qlik.
- Typically 5+ years’ experience in Analytics Engineering or BI Development for Senior-level profiles, with relevant experience appropriate to Intermediate-level profiles. - Advanced SQL skills and strong experience in data transformations. - Solid expertise in dimensional modelling, including Kimball methodology and star or snowflake schemas.
- Git and Liquibase: Version control and database change management/CI/CD. - SQL: Our primary language for data transformations. Bonus points for
- Experience in financial services, retail or high-growth technology environments. - Familiarity with cloud-based data platforms such as Azure, Snowflake, BigQuery or Redshift. 2. Analytics Engineers
- Strong SQL skills and an understanding of data modelling, with Kimball methodology being an advantage. - Hands-on experience with BI tools such as Power BI, Tableau or Qlik. - Advanced Excel skills, with exposure to Python or R considered an advantage.
- Python experience for data automation. - Exposure to Power BI or similar BI tools. - Experience with data testing frameworks and observability tools.
- Solid expertise in dimensional modelling, including Kimball methodology and star or snowflake schemas. - Experience with Snowflake, Matillion or similar data transformation and orchestration tools, and ELT pipelines. - An understanding of data quality, governance and testing principles.
Our tech stack - Snowflake: Cloud data warehousing. - Matillion: Data transformation and orchestration.
Complete your application on mukuru.breezy.hr. The employer’s form will show what is required.
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Talent Pipeline Opportunity | Multiple Experience Levels
Are you passionate about data, analytics and turning insights into business impact?
We’re always looking to connect with talented individuals who are curious, analytical and excited about using data to solve business challenges. Our Business Intelligence team is building a pipeline of skilled professionals across BI Analysis and Analytics Engineering, and we’d love to connect with you!
Whether your strengths lie in uncovering business insights, developing dashboards or building robust data pipelines, this is an opportunity to register your interest and be considered for potential future opportunities within our team.
Please note: This is a talent pipeline advert for future opportunities and is not linked to a current vacancy.
As a BI Analyst, you’ll use data to uncover trends, answer business questions and deliver insights that support informed decision-making. We’re looking for individuals who can combine technical expertise with commercial thinking and a natural curiosity about what the numbers tell us.
As an Analytics Engineer, you’ll help transform raw data into reliable, well-structured and trusted datasets that power reporting, analytics and business decision-making. We’re interested in professionals who enjoy building scalable data models, optimising transformations and improving the quality and reliability of data.
We’re looking for people who are passionate about data, enjoy solving complex problems and want to make a meaningful contribution to business outcomes. You should be comfortable collaborating with different stakeholders, challenging assumptions and continuously learning in a changing environment.
If your experience aligns with one of these profiles, we’d love to hear from you! Submit your CV and indicate the role and experience level that best match your background so we can keep your details in mind for suitable opportunities as they arise.
In line with our Employment Equity objectives, preference will be given to suitably qualified candidates from designated groups, in accordance with applicable legislation and our Employment Equity commitments.
This advertisement is for talent pipeline purposes only. Submission of an application does not guarantee an interview or appointment. Candidates may be contacted should a suitable opportunity become available.
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Cape Town, ZA
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