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Senior CS Data Analyst
Luno
Posted 4 months agoCape Town, South Africa
Location
Cape Town, South Africa
Job Type
Full-time
Experience
Senior
Category
Technology
Job Description
Luno is the crypto investment app you can rely on, enabling you to buy, store and explore crypto securely. We’re committed to putting the power of cryptocurrency in everyone's hands sensibly and responsibly.
Since 2013, we’ve helped millions of people around the world invest safely in crypto. We do this by cutting through the hype and supporting customers at every step of the way. All products and cryptocurrencies on our platform must first meet stringent legal, risk and technical security standards.
Transparency is key for us. Luno stores all crypto on a 1:1 basis and we have rigorous processes in place so you can be confident your investment is secure. We’re available in more than 40 countries around the world and we work closely with respective regulators in all of these markets to be fully compliant, as we believe this is the best way to help everyone, everywhere, invest safely.
The role in a nutshell:
The Senior Data Analyst will lead the Customer Success data consolidation and reporting initiatives, focusing on driving automation and standardisation. This includes designing and optimising data models, building and maintaining scalable dashboards and reports on Luno’s BI platform, and performing in-depth analysis to translate complex insights into clear, actionable recommendations for both technical and non-technical stakeholders. The role also encompasses providing mentorship and championing data literacy across the Customer Success team.
Strong understanding of business processes and supporting systems, with the ability to interpret the data they generate to produce meaningful insights.
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Requirements
- Bachelor’s degree in Computer Science, Statistics, Mathematics, or a related field.
- 5–7+ years of experience in data analysis or a similar analytical role.
- Strong proficiency in SQL and extensive experience working with relational databases.
- Experience with dimensional modelling (preferred).
- Solid understanding of statistical concepts and analytical methodologies.
- Experience with data visualisation tools such as Looker, Tableau, Power BI, or ThoughtSpot.
- Advanced Excel skills for complex data manipulation and analysis.
- Familiarity with data warehousing concepts, data pipelines, and database design principles.
- Technical & Analytical Capabilities
- Ability to clean, transform, validate, and prepare large datasets for analysis.
- Strong analytical and problem-solving skills to identify trends, patterns, and opportunities.
- Experience designing scalable reporting solutions and supporting data models.
- Exceptional attention to detail with a strong commitment to data accuracy and integrity.
- Business & Stakeholder Skills
- Ability to translate complex analyses into clear, actionable recommendations aligned to organisational goals.
- Business acumen to contextualise insights within strategic and operational priorities.
- Proven ability to collaborate effectively with cross-functional teams and senior stakeholders.
- Confidence presenting complex fi
Responsibilities
- Contribute to the design and optimisation of data models and underlying tables supporting the consolidation initiative.
- Design, build, and maintain scalable dashboards, reports, and visualisations within Luno’s BI platform.
- Translate analytical findings into clear, actionable recommendations for non-technical audiences.
- Provide guidance, quality control, and mentorship to junior team members to uplift overall team capability.
- Partner proactively with stakeholders to clarify requirements, prioritise initiatives, and align deliverables with business objectives.
- Maintain comprehensive and up-to-date documentation for Customer Success data definitions, processes, and reporting logic.
- Champion data literacy by promoting best practices, enabling self-service, and driving adoption of reporting tools across Customer Success.
- Lead the continued evolution of the Customer Success Data Consolidation Project, driving automation, standardisation, and the reduction of manual reporting processes.
- Perform in-depth analysis of complex datasets to uncover trends, patterns, and insights that inform strategic and operational decisions.
