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Business Intelligence & Analytics Talent Pipeline

Pay
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Work setting
On-site — work setting source
Work setup in the employer’s posting: On-site
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Employment
Full-time — employment source
Employment type in the employer’s posting: Full-Time
From the employer’s posting

What you’ll work on

Full posting
  • Uncover trends and answer business questions with data

  • Transform raw data into reliable, well-structured datasets

  • Build scalable data models and optimise transformations

From the employer’s posting
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

What you’ll bring

All qualifications

Core experience

  • Qualification in a quantitative field or equivalent experience
  • Strong SQL skills and understanding of data modelling
  • Hands-on experience with BI tools such as Power BI, Tableau or Qlik
  • Advanced SQL and dimensional modelling for Analytics Engineer roles
  • Experience with Snowflake, Matillion or similar ELT tools
Qualification wording
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.
Apply at Mukuru

Posting record

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Actively hiringFirst seen by us 6 days ago, still listed, and not a repost of an earlier posting.

Status in our records
Live
First seen by us
Oct 29, 20266 days ago
Recorded sightings
6
Last seen by us
Nov 4, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Time since we first saw it

Day 6

Similar jobs usually come down between day 5 and day 41.

From 10,536 similar postings that came down. Coming down is not always a hire.

Mukuru is hiring

2 open jobs

Open jobs by the week we first saw them, last 12 weeks.

Hiring record

See how this role fits your experience

Add 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.

  • Python
  • R
  • SQL
  • Azure
  • BigQuery
  • Excel
  • Power BI
  • Redshift
  • Snowflake
  • Tableau
Where the posting names them
- 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.

Your next step

Complete your application on mukuru.breezy.hr. The employer’s form will show what is required.

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About the role

We file this job under Analyst, by the work the posting describes.

Analysts answer business questions with data. They pull numbers with SQL, build reports and dashboards, and explain what changed and why to the people making decisions.

Most postings ask for SQL, spreadsheets, a dashboard tool such as Tableau or Power BI, and clear writing.

Unlike a data scientist, an analyst mostly explains what happened rather than building models that predict what will.

Job description

View original posting ↗

Build Your Future with Our Business Intelligence & Analytics Team!

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.

Opportunities we’re interested in

  • Senior Business Intelligence Analyst
  • Intermediate Business Intelligence Analyst
  • Senior Analytics Engineer
  • Intermediate Analytics Engineer

1. Business Intelligence Analysts

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.

What you’ll bring

  • A qualification in a quantitative field, such as Mathematics, Statistics, Engineering, Computer Science, Finance or Economics, or equivalent relevant experience.
  • 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.
  • 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

  • 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

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.

What you’ll bring

  • 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.
  • Experience with Snowflake, Matillion or similar data transformation and orchestration tools, and ELT pipelines.
  • An understanding of data quality, governance and testing principles.
  • Experience working in cross-functional, Agile teams.

Our tech stack

  • Snowflake: Cloud data warehousing.
  • Matillion: Data transformation and orchestration.
  • Git and Liquibase: Version control and database change management/CI/CD.
  • SQL: Our primary language for data transformations.

Bonus points for

  • Python experience for data automation.
  • Exposure to Power BI or similar BI tools.
  • Experience with data testing frameworks and observability tools.
  • A background in fintech, consulting or high-growth environments.

Who would thrive in our team?

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.

Interested in future opportunities?

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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