[Hiring] Senior Data Analyst @Liquid Thought

Role Description

As Senior Data Analyst, you will turn the business's data into decisions it can act on with confidence. Business questions rarely arrive fully formed, so your craft is to shape a broadly worded question into something that can genuinely be answered, answer it well, and land that answer with the people who need to act on it.

This is a senior, hands-on role that sits close to both the business and the data platform. You will be as comfortable interrogating a messy dataset in the morning as presenting a customer engagement analysis to leadership in the afternoon. You will work the lifecycle end to end: framing the question, modelling and interrogating the data, drawing out the insight, and seeing the recommendation through to a decision and its adoption.

What Success Looks Like in the First Six Months:

• You own the core business and client reporting, and the definitions behind those numbers are documented, consistent and trusted across teams.
• Recurring reporting that is currently rebuilt by hand runs to a schedule, with quality checks attached.
• At least one piece of analysis you initiated, rather than were asked for, has changed a product, operational or commercial decision.
• Product, engineering and commercial teams see you as the person to ask about what the data actually says.

Qualifications

• At least 5 years' experience as a Data Analyst or in a similar analytical role.
• At least 5 years' BI and data visualisation experience.
• A Bachelor's degree in Mathematics, Statistics, Computer Science, Economics or a related field, or equivalent demonstrable experience.
• Exposure to a regulated or high-integrity environment such as banking, insurance, telco, fintech, identity or risk is strongly advantageous.

Requirements

• Advanced SQL, and Python for analysis and automation.
• Strong applied statistics, including cohort analysis, significance testing, forecasting and seasonality.
• Experience with the Azure data stack (Data Factory, Synapse, Databricks) or an equivalent cloud data platform is valuable but not essential.
• Familiarity with CI/CD, version control and modern development practices applied to analytics is advantageous.
• Experience with monitoring and observability tools such as Application Insights, Azure Monitor or Grafana is a plus.

Benefits

• Exclusive access to preferential financial benefits, including competitive rates on home loans, vehicle finance and personal loans.
• A competitive compensation package designed to reward impact.
• Enhanced family responsibility leave.
• Annual leave entitlement that grows with your tenure.
• A remote-first culture, with a preference for Cape Town based candidates.
• A technically excellent, mission-driven team working at the frontier of its field, in a culture built on intellectual rigour, psychological safety, collaboration and a bias for action.