Senior Data Analyst

Sabenza IT & Recruitment; Cape Town; On-site; ZAR 350,000 - 600,000; Full time

Job summary

Sabenza IT & Recruitment is seeking a Data Analyst to unlock value from data, turning complex information into actionable insights for stakeholders across the organisation.

You will collaborate with analysts, engineers, data scientists and business partners to translate needs into data requirements, delivering high-quality analysis, reporting and insights to drive performance.

Qualifications

• Proven experience delivering complex data analysis projects with business impact.
• Significant experience in data analysis, preferably in financial services.
• Bachelor's or Honours Degree in Data, Analytical, Technical or related field.

Responsibilities

• Conduct advanced data analysis across multiple business areas to identify trends and data issues.
• Translate analytical findings into clear insights and recommendations for technical and non-technical stakeholders.
• Lead data analysis projects, including planning, scoping, timelines and quality.
• Develop and maintain KPIs, reports, forecasting, scenario analysis and dashboards.
• Apply advanced statistical techniques and simple predictive models within analytic lifecycles.
• Mentor junior analysts in SQL, Python, data visualization and standards.
• Partner with engineers, data scientists and business stakeholders to deliver data solutions.
• Ensure data quality and governance is maintained across data assets.

Skills

SQL

Python

Power BI

Tableau

Excel VBA

Data Analysis

Predictive analytics

Data modelling

Data quality

Education

Bachelor's or Honours in Data/Analytics/Tech

Tools

Pandas

NumPy

Matplotlib

Seaborn

Job description

The Data Analyst role isresponsible for unlocking value from data by making complex informationaccessible, meaningful and actionable for stakeholders across the organisation.The role transforms data into insights that support strategic decision-making,optimise operations and drive business performance.

The successful candidate will work acrossmultiple business areas, partnering with analysts, engineers, data scientistsand business stakeholders to understand business needs, translate these intodata requirements and deliver high-quality analysis, reporting and insights

Requirements

Key Responsibilities

• Conduct advanced data analysis acrossmultiple business areas to identify trends, patterns, opportunities andpotential data issues.
  
• Translate complex analytical findings into clearbusiness insights and recommendations for technical and non-technicalstakeholders.
  
• Lead data analysis projects, taking ownership of planning,scoping, timelines, delivery and quality.
  
• Develop and maintain KPIs, reports, forecasting,scenario analysis and dashboards to support informed decision-making.
  
• Apply advanced statistical techniques and develop simplepredictive models, following appropriate data science and analyticallifecycles.
  
• Work closely with business and technical teams tounderstand requirements, data flows, processes and downstream data needs.
  
• Act as a bridge between business stakeholders,data analysts, engineers and data scientists.
  
• Challenge assumptions, vague requirements andrequests that may not address the underlying business need.
  
• Identify opportunities to improve processes, dataassets and analytical ways of working.
  
• Ensure data analysis is accurate, well documented,repeatable and suitable for implementation with minimal rework.
  
• Support data modelling and data mart development,ensuring data can be effectively used across multiple teams.
  
• Identify and address data quality gaps andproactively challenge solution designs to ensure appropriate datarequirements are considered.
  
• Apply GenAI, AI and modern analytical tooling where appropriate to improve productivity and analytical outcomes.
  
• Mentor, guide and upskill less experienced analystsin areas such as SQL, Python, data visualisation and analyticalstandards.
  
• Participate in knowledge-sharing initiatives, codereviews, interviews and subject matter guidance.
  
• Build strong relationships with stakeholders andmanage expectations, requirements and potential conflicts effectively.
  

Key Technical Requirements

• Significant experience in Data Analysis,preferably within banking or financial services.
  
• Advanced proficiency in SQL, includingcomplex queries, query optimisation and working with large datasets.
  
• Strong Python or R skills, including datamanipulation and visualisation libraries such as pandas, NumPy, Matplotlibor Seaborn.
  
• Advanced Excel, including macros and VBA.
  
• Strong Power BI, Tableau or similar datavisualisation and dashboarding experience.
  
• Advanced statistical analysis and modelling.
  
• Experience with predictive analytics and itsapplication to business/financial data.
  
• Knowledge of data modelling techniques anddata structures.
  
• Experience with data quality, validation andanalytical controls.
  
• Understanding of risk analysis and itsapplication within financial services.
  
• Knowledge of financial products, services, industrytrends, regulations and compliance considerations.
  
• Exposure to AI/GenAI and modern data/analyticaltools would be advantageous.
  

Experience &Qualifications

• Proven experience delivering complex dataanalysis projects and demonstrating business impact throughdata-driven insights.
  
• Significant experience in data analysis, withfinancial services/banking experience strongly preferred.
  
• Bachelor's or Honours Degree in Data,Analytical, Technical or a related field.