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Mid-Level Data Analyst

Datafin Recruitment

Cape Town

On-site

ZAR 300 000 - 400 000

Full time

Today
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Job summary

A leading telecom company in Cape Town is seeking a mid-level Data Analyst to take charge of dashboarding and analytics. The ideal candidate will have 2-4 years of data analysis experience, strong SQL skills, and familiarity with BI tools like Looker Studio. You will work independently, translating business needs into actionable insights. This position offers an opportunity to impact the business significantly.

Qualifications

  • 2–4 years of relevant data analysis experience.
  • Ability to write complex SQL queries.
  • Experience with BI/reporting tools.

Responsibilities

  • Report to the CTO.
  • Build and maintain dashboards for reporting and analysis.
  • Translate business questions into actionable dashboards.

Skills

Strong SQL experience
Experience with BI reporting tools
Comfortable working independently
Communication skills

Tools

Looker Studio
Power BI
Tableau
Job description
ENVIRONMENT

Our client, the UK's most awarded and fastest-growing next‑gen Telco / VoIP provider for small businesses is looking for a mid-level Data Analyst to own dashboarding and analytics across the business.

DUTIES
  • Report to the CTO
  • Work closely with the development team, senior management, and stakeholders across departments
  • Build and maintain dashboards used for reporting, trend analysis, and forecasting
  • Work with tools like Looker Studio and io, with the potential to bring on full Looker soon
  • Drive their own projects without needing day‑to‑day supervision
  • Translate business questions into data models and actionable dashboards
  • This person must be comfortable working across the business, highly self‑directed, and motivated by impact
REQUIREMENTS
  • Strong SQL experience – able to write complex queries and extract insights from raw data
  • Experience with at least one BI / reporting tool – e.g. Looker Studio, Power BI, Tableau
  • Comfortable working independently, managing their own priorities and timelines
  • Able to communicate findings clearly to non‑technical stakeholders
  • At least 2–4 years of relevant data analysis experience
NICE‑TO‑HAVE
  • Experience with BigQuery or similar cloud data warehouses
  • Exposure to Looker (full version)
  • Basic forecasting / modelling skills
  • Experience working with product, marketing, or operational data
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