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Decision Support Analyst (Ch1183)

Capital H Staffing And Advisory Solutions

Cape Town

On-site

ZAR 400 000 - 600 000

Full time

Today
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Job summary

A staffing and advisory firm in Cape Town is looking for a Decision Support Analyst. The role focuses on enhancing business decisions by analyzing data and collaborating closely with stakeholders. Candidates should have a degree in a related field and at least 3 years of experience in analytics. Strong skills in SQL, GCP, and advanced Excel are essential. The company values fair and inclusive hiring practices.

Qualifications

  • 3+ years in an analytical role, preferably in analytics or business intelligence.

Responsibilities

  • Work closely with business stakeholders to enhance efficiency and decision making.
  • Monitor and analyse data to identify trends and opportunities.
  • Implement data solutions in the data warehouse.

Skills

SQL
GCP
Advanced Excel
Data analysis
Microsoft BI technologies (SSRS, Power BI)
Business process monitoring
Formulating analytical solutions
Problem-solving skills

Education

Degree in finance/mathematics/statistics/actuarial/business management/engineering or related discipline
Job description

Our client, in the Payments and Lending industry, has an opening for a Decision Support Analyst.

The purpose of the Decision Support Analyst is to drive business value to our internal and external stakeholders.

Qualification Experience

Degree in finance / mathematics / statistics / actuarial / business management / engineering or related discipline.

3+ years in an analytical role, preferably in a formal analytics or business intelligence environment.

Functional Competencies
  • SQL
  • GCP
  • Advanced Excel
  • Data analysis
  • Microsoft business intelligence visualisation technologies (SSRS, Power BI)
  • Business process monitoring and optimization
  • Formulating analytical solutions to business problems
  • Excellent problem-solving skills coupled with a high degree of logic and attention to detail
Behavioural Competencies
  • Information gathering and problem analysis
  • Applying professional / specialist / technical expertise
  • Creative and innovative
  • Attention to detail
  • Planning and organising
Key Responsibilities

Business analytics. Work closely with business stakeholders to drive business efficiency and enhancing business decisions by using data.

  • Monitor and analyse real-time and historic data to identify trends, issues and / or opportunities.
  • Identify opportunities for advanced analytics and automated decision solutions.
  • Enhance the use of data, reports and analytical tools for decision making by educating and influencing stakeholders.
  • Decision Support Solutions: Work closely with the business to identify opportunities for monitoring and decision support solutions.
  • Gather requirements, design and implement decision support solutions.
  • Work closely with the data team and information and analytics architect to implement data solutions in the data warehouse.
  • Work with the advanced analytics team to develop appropriate predictive analytics solutions.
  • Work with IT, business and data science to implement embedded automated decision solutions.
  • New business functionality: Ensure data and analytics requirements are considered in new business solutions.
  • Do impact assessments on changes to existing functionality.
  • Project Management: Effective planning and prioritising of own work.
  • Provide progress feedback to business stakeholders and line management.
  • Teamwork: Contribute proactively to all aspects related to the optimal performance and wellbeing of the analytics team.
  • Stakeholder Management: Effective internal and external stakeholder management within PPL.
General

We are committed to fair and inclusive hiring.

All suitably qualified applicants are welcome to apply.

Preference may be given in line with our client's Employment Equity plan and applicable legislation.

Applicants must have the legal right to work in South Africa at the time of application.

Only shortlisted candidates will be contacted.

If you do not hear from us within 30 days, please consider your application unsuccessful.

Please include your current remuneration (CTC), salary expectation, and notice period (optional but helpful for screening).

By applying, you consent to the processing of your personal information for recruitment purposes in accordance with POPIA.

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