Senior Product Analyst, Curve
12 Month Fixed-Term Contract
Consolidating all a customer's bank cards into a single card
Be an early applicant
Consolidating all a customer's bank cards into a single card
201-500 employees
Be an early applicant
201-500 employees
Company mission
To simplify the way people spend, send, see and save money.
Role
Who you are
- We’re looking for experienced product analysts who can build strong relationships with stakeholders to identify and explore opportunities our customers will love
- You should definitely apply if you’re a well-rounded analyst with strong analytical and technical skills, as well as a business mind and the ability to think critically
- We’re especially looking for curious “doers” who are passionate about deep-dive analysis, experimentation, predictive modelling, building relationships with stakeholders and engineers, and especially data storytelling
- It will be particularly interesting to you if you’re knowledgeable about consumer finance, customer journeys and/or behavioural economics
- 4+ years working experience as a data analyst, preferably in fintech, consumer tech startups, financial services or consultancies
- First or second class degree in any discipline
- Advantage: Background in behavioural science, psychology, economics, mathematics or statistics
- A passion for data discovery, interpretation and storytelling with experience extracting insights from raw data and converting them into product/business recommendations
- Proven track record of using SQL to manipulate and extract data
- Some familiarity with experiment design and statistical analysis
- Hands-on experience with data warehouse modelling techniques and ELT data pipelines, data catalogues and data models (ideally with dbt)
- Comfortable working with engineers, data engineers and product managers to track and QA product events
- Familiarity with business intelligence and data visualisation tools (ideally Looker)
- Exposure to product teams and familiarity with their ways of working (e.g., Agile)
- Advantage: Experience setting up and maintaining product analytic tools such as Amplitude or Google Analytics
- Flexibility to quickly adapt to changing priorities within a very dynamic startup environment
- Strong experience building relationships and maintaining trust with various stakeholders across the business
- Effective and flexible communication skills, including the ability to translate technical detail into business and commercial objectives, and vice versa
- Ability to write research papers that succinctly summarises the issue and provides recommendations to stakeholders
- Proven record of taking proactive action based on your own findings and analysis
- A direct communication style - you’re not afraid to challenge others (including c-level) and speak your mind
What the job involves
- We have a 1-1 product team to analyst ratio, which means you’ll be embedded in one of our product teams and will act as the product manager’s go-to person to help drive feature development and direction through your insights and product knowledge
- You will work across the whole product lifecycle including feature selection, experimentation, hypothesis creation, event implementation and impact analysis
- Crucially, you are not just someone who pulls figures or just builds dashboards, you will be adding valuable insight to help drive data-led decisions within the organisation
- Proactiveness rather than reactiveness is the aim of the game
- You will take your lead in day-to-day operations from the product manager, but report functionally to the Head of Analytics who will assist career development and work with you to ensure you stay up to date with the latest analytical developments
- We partner with our data engineering and analytics engineering teams and share the workload of data tracking, modelling and cleaning
- Moreover, we are different from most startup analytics teams in that we spend most of our time in research mode, essentially exploring and interpreting data (the fun stuff!)
- This ultimately means that your main focus will be on proactive discovery deep dives, along with recommendations that influence roadmaps
- You can expect to be closely involved in the launch of exciting new products, create a pipeline of product opportunities, grow revenue for the company, focus on improving the customer experience, kickstart predictive modelling capabilities and establish processes for the long-term
- We promise a no-nonsense interview process, challenging problems to solve, lots of autonomy, a direct communication culture, and an environment where you can achieve your dreams
- Discovery analyses: Proactively identifying discovery opportunities; Interpreting data to develop new revenue streams, optimise propositions and offers and improve the customer experience; Influencing the roadmaps of product/business teams through compelling data storytelling and viable recommendations
- Product execution: Working closely with product stakeholders to define KPIs, estimate impact, and measure the impact of product features, using relevant methods such as experiment design, ad-hoc analyses, dashboards and predictive models
- Data modelling: Working alongside data engineers and analytics engineers to design and build data pipelines, create seamless data models and enable self-service across teams
- Tracking: Working with back-end, front-end, DevOps & QA engineers to ensure that the analytics is well-integrated in the development process and that we collect the right data
- Evangelisation: Helping us implement a data-driven mindset in the company by educating others and building self-service reports
- Mixed methods: Working closely with the user research and data science teams to uncover deeper insights about how our customers interact with the products
- Pioneering: Driving best practices in terms of data quality and code quality
- Working mainly with dbt, Snowplow/Kafka and Looker in a Google Cloud Platform environment (BigQuery, Google Analytics)
Salary benchmarks
Our take
While its customers have their own Curve card, fintech company Curve emphasises its distinction from traditional banking institutions. Renowned for its groundbreaking remedy to credit and debit card clutter - a singular card amalgamating multiple accounts - the company has garnered widespread acclaim.
Alongside its all-on-one card, Curve offers customers access to spending insights and premium exchange rates for international travel. Its astute banking tool secured a hefty $1B lending capital injection from Credit Suisse in 2022, followed by a substantial $58M Series C funding round in 2023, ranking among the largest in tech that year.
Curve's dominance extends beyond mere payment aggregation; its analytical tools outpace competitor platforms like Apple Pay. Additionally, Curve has introduced Curve Flex, as a solution tailored to the contentious buy-now-pay-later model. With plans to leverage its 2023 funding for enhancing customer experience, particularly through app refinements and flex solutions, Curve is poised to fortify its position while laying the gorundwork for future collaborations.
Freddie
Company Specialist at Welcome to the Jungle
Insights
Few candidates hear
back within 2 weeks
Company
Funding (last 2 of 7 rounds)
Sep 2023
$72.2m
SERIES C
May 2021
$11.4m
LATE VC
Total funding: $247.5m
Company HQ
Paddington, London, UK
Articles
Leadership
Shachar Bialick
(CEO)Previously worked as Head of Product at Checkout.com, CEO at Machshavot SmartJOB, and Founder and former CEO at SmartEQ. Completed an MBA at INSEAD.
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