Company: Braun Management
Industry: Management Consulting, Corporate Governance & Operational Data Analytics
Location: Cape Town, South Africa (Fully Remote)
Position Type: Full-Time Paid Internship
Posted Date: 30 July 2026
Closing Date: Open / Rolling Applications
About Braun Management & The Project
Braun Management is an international corporate advisory firm specializing in resolving deep-seated organizational friction, governance challenges, and decision-making bottlenecks for executive leadership teams across Europe and Africa.
Braun Management is hiring a Data Analytics Intern to support its consulting team during a major South African corporate engagement. Operating in a 100% remote environment, you will translate raw operational datasets, departmental metrics, and financial reporting into clear, evidence-backed insights that directly guide executive decision-making.
Key Responsibilities & Daily Analytical Workstreams
In this fully remote position, your daily deliverables will cover four core areas:
1. Data Cleaning, Verification & Database Auditing
- Data Hygiene: Clean, organize, and structure large, complex operational datasets provided by client business units.
- Database Integrity: Verify the accuracy and integrity of internal client databases to prevent analytical errors in restructuring plans.
2. Financial & Operational Modeling
- Decision Models: Assist in constructing decision-rights and resource-allocation models to measure how structural changes impact cost centers and operational efficiency.
- Pattern Identification: Query departmental performance metrics to uncover structural friction points and operational trends.
3. Data Visualization & Executive Summaries
- Visual Dashboards: Create clear visual representations of resource allocation and operational workflows.
- Executive Briefings: Draft clear, jargon-free analytical summaries that explain complex numerical trends in plain language.
4. Documentation & Research Tracking
- Audit Documentation: Maintain thorough documentation tracking how data points are collected, cleaned, and processed throughout the engagement.
Candidate Profile & Technical Requirements
To qualify for this remote data analytics internship, candidates should meet the following criteria:
- Academic / Quantitative Background: Degree studies, diplomas, or self-taught coursework in Data Analytics, Data Science, Statistics, Finance, Economics, Computer Science, or Business Information Systems.
- Technical & Software Skills:
- Strong foundational understanding of spreadsheet tools (Microsoft Excel / Google Sheets – e.g., nested formulas, pivot tables, lookup functions).
- Familiarity with data visualization principles (Power BI, Tableau, Chart.js, or Excel charting).
- Advantageous: Basic exposure to data querying languages or tools (e.g., SQL, Python/Pandas).
- Statistical Comfort: Solid grasp of core statistical concepts and numerical trends analysis.
- Clear Writing Skills: Ability to articulate quantitative findings in concise, written English without using corporate filler words.
- Remote Work Discipline: Highly organized, proactive, and comfortable with asynchronous, documentation-led workflows.
- Location: Based in South Africa (Cape Town / Remote).
What Braun Management Offers
- Competitive Pay: A paid internship offering a market-competitive monthly rate.
- 100% Remote Flexibility: Fully remote work schedule with zero office commute or travel requirements.
- Senior Mentorship: Direct daily exposure and mentorship from experienced corporate advisors and management consultants.
- Real-World Impact: Hands-on experience working on high-stakes corporate restructuring projects for major South African clients.
Career Advice for Applicants
- Highlight Excel & Analytical Tools: Detail your specific spreadsheet capabilities (e.g., data cleaning, IF/XLOOKUP statements, Pivot Tables, summary charts) on your CV.
- Emphasize Concise Written Communication: Braun Management values direct, sober written updates. Ensure your application and resume are clean, structured, and free of unnecessary fluff.
- Showcase Practical Projects: Include links or descriptions of academic, bootcamp, or personal data projects where you cleaned messy datasets or drew business conclusions.
Sample Technical & Data Analytics Interview Questions
Data Cleaning & Modeling Scenarios
- Question (Data Cleaning): “How do you approach auditing and cleaning a large spreadsheet dataset that contains missing values, duplicate entries, or inconsistent formatting?”
- Question (Analytical Communication): “How do you translate a complex statistical trend or financial modeling output into a 1-page summary for a non-technical executive?”
Remote Work & Logic
- Question (Logical Auditing): “If two departmental databases provide conflicting performance metrics for the same cost center, how would you investigate and resolve the discrepancy?”
How to Apply
Submit your application directly through the official Braun Management recruitment portal:
- Engagement Type: Paid Remote Internship
- Industry: Management Consulting / Data Analytics