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- Tasks: Join our data team as a Senior Analyst, building data models and delivering insights.
- Company: Twinstake is a leading institutional staking provider with deep crypto expertise.
- Benefits: Enjoy flexible remote work, competitive pay, and opportunities for professional growth.
- Why this job: Be at the forefront of blockchain innovation while collaborating with a dynamic team.
- Qualifications: Strong SQL and Python skills, with a background in mathematics or engineering required.
- Other info: Stay updated on emerging crypto technologies and drive excellence in analytics.
The predicted salary is between 54000 - 84000 £ per year.
Twinstake is the leading institutional staking provider which combines unparalleled knowledge and experience in the institutional market with deep crypto expertise and cutting-edge technology.
We are seeking a Senior Analyst to join our data team. As part of this role, you’ll work closely with data engineers, analysts and key business stakeholders. You’ll be responsible for building and owning data models, researching and analysing developments in the blockchain staking industry, and delivering actionable insights to stakeholders across the organisation.
The ideal candidate possesses strong SQL proficiency, experience with Python, dbt, and data modelling, as well as experience or a strong interest in blockchain technology. Twinstake utilises a modern data stack including Airbyte, Airflow, Snowflake, dbt and Quicksight.
What you will contribute:
- Data Modelling: Building scalable data models to transform complex datasets into actionable insights, using advanced SQL skills.
- Blockchain Expertise: Using your knowledge of blockchain technology, particularly staking and rewards, to create metrics and monitor performance.
- Business Intelligence: Developing clear, impactful dashboards with modern analytics tools to meet both technical and business needs.
- Promoting Best Practices: Driving excellence in analytics engineering through code reviews, testing, documentation, and observability.
- Staying Informed: Keeping up with emerging crypto protocols and technologies to ensure we remain at the forefront of innovation.
Requirements
What you bring:
- Proven experience as an analyst with a portfolio of impactful applications.
- Expertise in SQL, Python and dbt.
- Experience using OLAP systems and data warehouses.
- Background in mathematics, statistics, or engineering with strong problem-solving skills.
- Experience in the crypto industry, with a deep understanding of blockchain technology and staking mechanisms.
- Excellent communication skills, with the ability to collaborate effectively across teams in a fast-paced environment.
What makes you stand out:
- Deep expertise in blockchain data analytics, particularly around staking, restaking, MEV, and validator rewards.
- A proven track record of architecting scalable and efficient data modelling strategies across an organisation.
- Experience in creating semantic layers for consistent and intuitive data access for stakeholders.
What we offer:
- Exposure to cutting-edge cryptocurrency and blockchain technologies.
- Opportunities for internal growth and professional development.
- Competitive compensation, benefits, and perks.
- Flexible remote working arrangements.
Senior Blockchain Analyst employer: TN United Kingdom
Contact Detail:
TN United Kingdom Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Blockchain Analyst
✨Tip Number 1
Familiarise yourself with the specific tools mentioned in the job description, such as Airbyte, Airflow, Snowflake, dbt, and Quicksight. Having hands-on experience or even completing relevant online courses can give you a significant edge during interviews.
✨Tip Number 2
Stay updated on the latest trends and developments in blockchain technology, especially around staking and rewards. Engaging with industry news, forums, and attending webinars can help you speak confidently about current topics during your discussions with us.
✨Tip Number 3
Network with professionals in the blockchain and data analytics fields. Join relevant groups on platforms like LinkedIn or Discord to connect with others who work in similar roles. This can lead to valuable insights and potentially even referrals.
✨Tip Number 4
Prepare to discuss your previous projects and how they relate to the responsibilities outlined in the job description. Be ready to showcase your problem-solving skills and how you've used data modelling to drive business decisions in past roles.
We think you need these skills to ace Senior Blockchain Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with SQL, Python, and dbt. Include specific examples of data modelling projects you've worked on, especially those related to blockchain technology.
Craft a Compelling Cover Letter: In your cover letter, express your passion for blockchain technology and how your skills align with the role. Mention any relevant projects or experiences that demonstrate your expertise in the crypto industry.
Showcase Your Analytical Skills: Provide examples of how you've used data analysis to drive business decisions. Highlight any dashboards or reports you've created that had a significant impact on your previous organisation.
Research Twinstake: Familiarise yourself with Twinstake's services and their position in the blockchain staking market. Understanding their compliance and risk mitigation strategies will help you tailor your application and show your genuine interest in the company.
How to prepare for a job interview at TN United Kingdom
✨Showcase Your Blockchain Knowledge
Make sure to highlight your understanding of blockchain technology, especially in relation to staking and rewards. Be prepared to discuss recent developments in the industry and how they could impact the role.
✨Demonstrate SQL and Python Proficiency
Since strong SQL and Python skills are crucial for this position, be ready to provide examples of how you've used these tools in past projects. Consider discussing specific data models you've built or analyses you've conducted.
✨Prepare for Technical Questions
Expect technical questions related to data modelling and analytics. Brush up on your knowledge of OLAP systems, data warehouses, and the modern data stack mentioned in the job description, such as Airflow and Snowflake.
✨Communicate Effectively
As collaboration is key in this role, practice articulating your thoughts clearly. Prepare to discuss how you've worked with cross-functional teams in the past and how you can contribute to a fast-paced environment.
