Culture Signals & Insights Analyst Intern
About the role
Every OrgPulse score is only as good as the signal data underneath it. In this internship you'll own the quality of that data end to end — from automated monitoring and quality rules across scraped social content, through to the analysis that tells us which signal combinations actually predict a healthy culture. You'll also help automate the work around it: building the workflows and BI agents that do the routine querying and reporting for you. You'll work directly with the founding team and present your findings where decisions get made.
What you'll do
Signal Data Quality Monitoring
- Develop and maintain data quality: build a monitoring system to track the health of the signal database.
- Implement data quality rules: define rules covering missing data, duplicates and inconsistencies across scraped social content.
- Regular monitoring: set up automated reporting and flagging to identify data quality issues in real time.
- KPI reporting: track and report on completeness, timeliness, accuracy and consistency of the underlying data.
Insights & Analytics
- Trend analysis: analyse employer social data to identify emerging patterns across industries, signal types and company size — for example, which industries show the strongest audience quality, or which signals move together.
- Detailed insights: surface specific patterns, such as which signal combinations most reliably predict a healthy overall culture score.
- KPI dashboard: develop a high-level dashboard summarising key findings to support leadership decision-making.
Collaboration & Reporting
- Work with data teams: collaborate with stakeholders to improve data collection, storage and reporting processes.
- Regular reporting: present findings and insights in regular reports and presentations to management and other stakeholders.
AI Automation & Agentic BI
- AI automation: build and maintain automated workflows using n8n, Zapier or equivalent tools, removing manual steps from data collection, monitoring and reporting.
- Agentic BI: design and build agentic BI agents that can query the signal database, interpret the results and answer business questions without someone writing SQL every time.
- Evaluation: measure whether an agent's answers are actually correct, and tighten prompts, tools and guardrails until they are.
What you'll bring
- Studying — or recently finished — a degree in data, analytics, statistics, computer science or a related field.
- Comfort with SQL and Python (or a similar language) for querying and analysing data.
- An eye for data quality: you notice the duplicate row, the missing month, the metric that moved for the wrong reason.
- Clear written and spoken communication — you can explain a finding to someone who isn't a data person.
- Curiosity about workplace culture and what public behaviour actually reveals about it.
- Interest in automation and AI agents — you've wired something together in n8n, Zapier or a similar tool, or you're keen to start.
How to apply
Email your CV and a short note on the most interesting dataset you've worked with to info@orgpulse.com.au, with the role title in the subject line. We review every application ourselves and reply to all of them.