Senior CS Data Analyst
About us:
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.
Your mission will be:
- Lead the continued evolution of the Customer Success Data Consolidation Project, driving automation, standardisation, and the reduction of manual reporting processes.
- 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.
- Perform in-depth analysis of complex datasets to uncover trends, patterns, and insights that inform strategic and operational decisions.
- Partner proactively with stakeholders to clarify requirements, prioritise initiatives, and align deliverables with business objectives.
- Translate analytical findings into clear, actionable recommendations for non-technical audiences.
- Maintain comprehensive and up-to-date documentation for Customer Success data definitions, processes, and reporting logic.
- Provide guidance, quality control, and mentorship to junior team members to uplift overall team capability.
- Champion data literacy by promoting best practices, enabling self-service, and driving adoption of reporting tools across Customer Success.
A little about you:
Requirements & Experience
- 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
- Strong understanding of business processes and supporting systems, with the ability to interpret the data they generate to produce meaningful insights.
- 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 findings to non-technical audiences.
Professional Attributes
- Critical thinker with sound judgement and structured decision-making skills.
- Able to work independently with minimal supervision while contributing effectively within a team.
- Strong written, verbal, and presentation skills.
- Committed to continuous learning and staying current with emerging tools, technologies, and best practices in analytics.
- This role requires a proactive, delivery-focused individual who can combine technical depth with strategic thinking to elevate the organisation’s use of data.
Life at Luno:
- Remote but reachable work policy gives you the freedom to choose between working from home or the office.
- Plus the option to buy and sell up to 5 days leave
- Improve body and mind, with excellent private medical insurance
- Access to Learnably and our additional learning platforms for your personal and professional development
- 6 months primary care-giver leave
- Paw-ternity leave for your furry friend
- Annual Inspiration Day in addition to your annual leave which increases based on your length of service!
- A collaborative, friendly work community, with regular social events and virtual cooking, dancing, drawing and house planting classes hosted by our Lunauts
- Free lunch and snacks
- 0 fees up to a certain amount with Luno from the day you start.*
*Offer only available on Luno Instant Buy, not Luno Exchange.
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
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