BI Analyst — Power BI & SQL for Data-Driven Decisions

Confluent; Wes-Kaap; On-site; ZAR 420,000 - 600,000; Full time

Benefits offered by this job

Medical aid

Retirement annuity

Bursaries

Insurance

Half day off on your birthday

Job summary

Confluent in Cape Town – Pinelands is seeking a Data Analyst (Power BI / SQL) to build dashboards and perform SQL queries against our data warehouse, shaping insights for multiple business areas.

You will collaborate with data engineering and data science, translate questions into analyses, and contribute to KPI improvements. A numerate degree and strong English communication are essential; Power BI experience is required, Tableau/Looker also considered.

Qualifications

• 2–5 years’ experience as a BI Analyst, BI Developer, Data Analyst, SQL Developer, Insights Analyst or similar.
• Strong SQL – capable of writing, optimising and debugging complex queries.
• Solid experience building reports/dashboards in Power BI (Tableau or Looker also considered).
• Numerate degree in Mathematics, Statistics, CS, Data Science or related field.
• Strong analytical thinking, attention to detail, and ability to handle ambiguity.
• Proficient English communication, both written and spoken.

Responsibilities

• Build and maintain Power BI reports and dashboards driving day‑to‑day decisions.
• Write performant SQL against the data warehouse to answer ad‑hoc questions and power recurring reporting.
• Partner with Data Engineering and Data Science to maximise data platform value.
• Translate business questions into analyses and analyses into actionable recommendations.
• Identify opportunities to improve KPI performance across supported business areas.

Skills

2–5 years BI experience

Strong SQL

Power BI

Numerate degree

Analytical thinking

English communication

Education

Bachelor's degree in a numerate field

Tools

Power BI

Tableau

Looker

SQL

Job description

Confluent in Cape Town – Pinelands is seeking a Data Analyst (Power BI / SQL) to build dashboards and perform SQL queries against our data warehouse, shaping insights for multiple business areas.

You will collaborate with data engineering and data science, translate questions into analyses, and contribute to KPI improvements. A numerate degree and strong English communication are essential; Power BI experience is required, Tableau/Looker also considered.