Senior Data Analyst

Finchoice Africa; Cape Town; On-site; ZAR 400 000 - 800 000; Full time

Job summary

An innovative digital financial service provider is seeking a Senior Data Analyst to drive insights and optimize business processes. In this pivotal role, you will analyze large datasets, develop predictive models, and enhance automation within the analytics function. You will contribute to data-driven decision-making, mentor junior analysts, and collaborate with cross-functional teams to improve operational efficiencies. This position offers an exciting opportunity to be at the forefront of analytics in a dynamic environment, where your skills can significantly impact business strategies and customer engagement.

Qualifications

• 5+ years of experience in data analytics or data science.
• Advanced SQL and Python skills are essential.

Responsibilities

• Extract and analyze large datasets to support business strategies.
• Create automated reports and dashboards for real-time insights.

Skills

Data Analysis

Predictive Modeling

Customer Segmentation

SQL

Python

Problem-Solving

Communication Skills

Education

Bachelor’s degree in Statistics

Master’s degree in Mathematics

Tools

Power BI

Tableau

QlikView

Job description

Job title: Senior Data Analyst

Job Location: Western Cape, Cape Town

Deadline: May 10, 2025

About the job

We’re an innovative digital financial service provider specialising in fast, flexible loans and funeral cover policies. Our aim is to become the preferred financial service provider for our customers by offering products that are affordable, transparent, and easy to access.

We are looking for a highly analytical and experienced individual to drive insights, optimise business processes, and enhance automation within the analytics function. This role will contribute significantly to data-driven decision-making and help build the team’s capabilities in advanced analytics and process improvement.

Here's what you can expect to be doing in the role:

Strategic Data Analysis & Business Insights

1. Extract, analyse, and interpret large datasets to support marketing, operations, and financial strategies.
2. Develop predictive models and customer segmentation strategies to enhance customer acquisition, retention, and lifetime value.
3. Conduct deep-dive analyses across different data sources to identify trends, anomalies, and opportunities.
4. Build forecasting models and customer journey analyses to support business growth.

Process Analysis & Optimisation

1. Assess and improve existing business and operational processes using data-driven insights.
2. Identify inefficiencies and recommend automated solutions to enhance workflow effectiveness.
3. Work with cross-functional teams to develop and refine key business processes based on data findings.

Advanced Reporting, Forecasting & Visualisation

1. Create automated reports and dashboards for real-time business intelligence.
2. Ensure data accuracy and integrity while structuring reports for senior leadership and stakeholders.
3. Optimise data pipelines to improve reporting efficiency and decision-making.
4. Maintain and optimise forecasting models to predict targets for various business metrics.

Automation & Data Infrastructure Enhancement

1. Implement automated analytics solutions to streamline reporting and reduce manual workload.
2. Support the integration of machine learning and AI-driven insights where beneficial for process enhancement.
3. Work closely with BI and engineering teams to enhance data collection, storage, and retrieval.

Mentorship & Capability Building

1. Provide training and mentorship to junior and mid-level analysts, enhancing team proficiency.
2. Share best practices in data analytics, reporting, and business intelligence.

A little about who you are:

1. Bachelor’s or Master’s degree in Statistics, Mathematics or a related field.
2. 5+ years of experience in data analytics or data science.
3. Advanced SQL and Python skills.
4. Experience with data visualisation tools such as Power BI, Tableau, or QlikView.
5. Strong problem-solving and critical thinking abilities.
6. Excellent communication skills, with the ability to translate technical insights into business recommendations.
7. Self-driven, adaptable, and passionate about learning, data and analysis.
8. Experience in process analysis, automation, and business optimisation is advantageous.