Data Analyst
London, England, United Kingdom
Two
Discover how Two's B2B Buy Now Pay Later solution revolutionise B2B E-Commerce, offering seamless and fast credit for businesses. Boost sales and fix cash flow.Two is bringing the very best of B2C e-commerce to B2B. We’re passionate about building solutions that enable B2B Merchants to sell more, faster, and more efficiently. Growing 30% month-on-month, our goal is to become the world’s largest B2B payment solution by 2027. We’re backed by the very best VCs in the world — raised over €30m from Sequoia, Shine, Local Globe, Antler, Posten and influential angel investors in Fintech.
Two is built by a passionate and energetic team with second-time founders with successful exits. We are a small, but mighty team leading Two into new countries. We have a global mindset, but deeply understand local nuance. We are entrepreneurs at heart, problem-solving to launch new countries end to end. We are team players that execute diligently from ideation to reality. We believe in diversity in opinions and ideas and expect all employees to think like an owner.
Location:
We are seeking a candidate to join our London office. Our work model embraces a hybrid approach, offering employees the flexibility to work both onsite and from home.
About the role:
At the core of our decision-making is a commitment to being truly data-driven. To uphold this, we are searching for a highly skilled and technically proficient Data Analyst who can adeptly bridge the divide between data-engineering to data-driven insights and strategic product decisions.
Your primary focus 1: To be able to do data analysis, we need to have well-modelled, well-documented and trusted datasets. Making sure that our business processes are well modelled in the data-warehouse and are available for self-serving by the business users, contributing to the Business Intelligence (BI) platform
Your primary focus 2: data analyses , designing lead and lag metrics and tools for monitoring them, gaining insights, and presenting or selling those insights, ideas, and recommendations to the decision-makers.
Effective communication is paramount in this role. Your ability to efficiently convey information to a broader audience will be crucial.
Technologies We Use
- SQL, Python, PySpark for data exploration and analysis
- dbt for building our Data Warehouse
- BigQuery, Spark, PostgresSQL hosted on Google Cloud Platform
- Tableau and Metabase as BI tools
Core Focus of the Role
- Business Data modelling & Analytical Insights
- Contribution to building DW and self-serve Data platform
- Problem-Solving and Decision Support: Data Analysts play a critical role in solving business problems and providing decision support by extracting actionable insights from the data to support informed decision-making within Two.
- Helping to design lead and lag metrics and setting up KPI monitoring and alerting, make sure they are consistently implemented in our reporting tools.
- Visualisation: Utilise BI tools such as Metabase or Tableau or to create comprehensive visualisations and communicate insight reports with management, stakeholders, team or customers.
Requirements
- Proven experience 2+ years of working as a Business /Data analyst or similar roles,
- Strong analytical skills with the ability to interpret complex data sets and extract meaningful insights.
- Strong technical skills in SQL/Python/ Data Warehouse.
- Experience in developing actionable KPIs to measure organisational performance.
- Excellent communication and presentation skills with the ability to convey technical information to non-technical stakeholders.
- Ability to work effectively in a fast-paced, collaborative environment.
- Experience in market research, competitor analysis, and identifying market trends is a plus.
- Prior experience in a similar role within the fintech or e-commerce is a plus.
- Self-starters with strong business acumen, an entrepreneurial mindset, and proactive problem-solving skills with an emphasis on product development.
- Skill and comfort working in a rapidly changing environment with dynamic objectives and iteration with users.
Benefits
- 25 days paid time off per year + public holidays 🌴
- £500 annual allowance to spend on anything that will contribute to your mental or physical health 🤸
- £500 annual allowance for learning and training 📚
- £500 support for a cell phone every 24 months (from your 6th month anniversary) 📱
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: BigQuery Business Intelligence Data analysis Data warehouse dbt E-commerce Engineering FinTech GCP Google Cloud KPIs Market research Metabase PySpark Python Research Spark SQL Tableau
Perks/benefits: Career development Cell phone stipend Health care Home office stipend
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