Senior Data Analyst: Fintech Data Strategy & Dashboards

Capital H Staffing And Advisory Solutions; Stellenbosch; Hybrid; ZAR 600,000 - 900,000; Full time

Benefits offered by this job

Hybrid work

Health benefits

Career growth

Training opportunities

Data-driven culture

Job summary

Capital H Staffing And Advisory Solutions is seeking a meticulous Telecom Data Analyst for a hybrid role in Stellenbosch, Western Cape. You will turn large datasets into actionable insights for network performance, customer experience, and business strategy, collaborating with network operations, marketing, and customer service.

A Bachelor’s degree in a quantitative field and experience with SQL, Python or R, and Tableau or Power BI is required.

Qualifications

• Bachelor's degree in statistics, mathematics, computer science or a related quantitative field.
• Proven experience as a Data Analyst, preferably in telecom.
• Proficiency in SQL, Python or R for data manipulation and analysis.
• Experience with data visualization tools such as Tableau or Power BI.
• Strong analytical and problem-solving skills.
• Excellent communication skills, able to explain complex data concepts to non-technical audiences.

Responsibilities

• Collect, clean, and analyze large datasets related to network performance, customer usage, and market trends.
• Develop and maintain reports, dashboards, and visualizations to track KPIs.
• Identify patterns, anomalies, and opportunities for improvement within the data.
• Collaborate with stakeholders to understand their data needs and provide analytical support.
• Prepare findings and recommendations in clear, concise reports and presentations.
• Contribute to the development of data models and analytical methodologies.

Skills

SQL

Python

R

Data analysis

Data visualization

Education

Bachelor's degree in quantitative field

Tools

Tableau

Power BI

Job description

• Our client is seeking a meticulous and analytical Telecom Data Analyst to join their team in Stellenbosch.

  This hybrid role involves leveraging vast amounts of data to derive actionable insights that inform business strategy, network performance, and customer experience improvements. You will work closely with various departments, including network operations, marketing, and customer service, to identify trends, optimize operations, and support data‑driven decision‑making across the organization. This is a fantastic opportunity to contribute to the strategic direction of a leading telecom provider in the Western Cape.

  About the Role Our client is seeking a meticulous and analytical Telecom Data Analyst to join their team in Stellenbosch. This hybrid role involves leveraging vast amounts of data to derive actionable insights that inform business strategy, network performance, and customer experience improvements. You will work closely with various departments, including network operations, marketing, and customer service, to identify trends, optimize operations, and support data‑driven decision‑making across the organization. This is a fantastic opportunity to contribute to the strategic direction of a leading telecom provider in the Western Cape.

  Key Responsibilities
  • Collect, clean, and analyze large datasets related to network performance, customer usage, and market trends.
  • Develop and maintain reports, dashboards, and visualizations to track key performance indicators (KPIs).
  • Identify patterns, anomalies, and opportunities for improvement within the data.
  • Collaborate with stakeholders to understand their data needs and provide analytical support.
  • Prepare findings and recommendations in clear, concise reports and presentations.
  • Contribute to the development of data models and analytical methodologies.
  Requirements
  • Bachelor's degree in Statistics, Mathematics, Computer Science, Economics, or a related quantitative field.
  • Proven experience as a Data Analyst, preferably in the telecom industry.
  • Proficiency in SQL, Python, or R for data manipulation and analysis.
  • Experience with data visualization tools such as Tableau or Power BI.
  • Strong analytical and problem‑solving skills.
  • Excellent communication skills, with the ability to explain complex data concepts to non‑technical audiences.
  Benefits
  • Competitive salary commensurate with experience.
  • Hybrid work environment offering a blend of office and remote work.
  • Comprehensive health and wellness benefits.
  • Opportunities for professional growth and further training in data science.
  • Collaborative team culture focused on innovation and data excellence.