Senior Product Analyst (12 Month FTC)

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Description

Curve was founded with a rebellious spirit, and a lofty vision; to truly simplify your finances, so you can focus on what matters most in life.

That's why Curve puts your finances simply at your fingertips, so you can make smart choices on how to spend, send, see and save your money. We help you control your financial life, so you can go out and live the life you want to live.

With Curve you can spend from all your accounts, track your spend behaviour, see unique insights - all with additional security to help keep your money safe. Curve puts you in control of your money in one beautiful place for the first time.

We're developing a ground-breaking product with our customers at the heart of everything we do. We have funding from the biggest names in tech investment, and a visionary C-suite who wants everyone who joins this remarkable adventure, to have the opportunity to masterfully develop their expertise.

Welcome to Curve. On a mission to help you live inspired.

Role Purpose

We're looking for experienced product analysts who can build strong relationships with stakeholders to identify and explore opportunities our customers will love. 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.

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. 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.

Key Accountabilities:

• 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).

Skills & Experience:

• 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

Analytical & technical skills:

• 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.

Impact skills:

• 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

Benefits:

• 25 days plus bank holidays
• Bonus days off for Learning & Development, Mental Wellbeing, Birthday, Moving House & Christmas
• Working abroad policy (up to 60 calendar days per year)
• Bupa Health Insurance (YuLife)
• Life insurance powered by AIG (5x Annual Salary)
• Pension Scheme powered by "People's Pension" (4% Matched)
• EAP (Mental health & wellbeing support, Life coach, Career coach)
• 24/7 GP access (Smart Health via YuLife)
• Annual subscriptions to Meditopia & FIIT for your mind and body (via YuLife)
• Discounted shopping vouchers (via YuLife)
• Enhanced parental leave
• Ride to work scheme & Season ticket loan
• Electric car scheme
• Six nights of Night Nanny for new parents
• Free Curve Metal subscription for you and your +1