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- Tasks: Analyse data to drive sales growth and optimise delivery processes.
- Company: Join Wise, a global tech leader transforming money management.
- Benefits: Competitive salary, flexible work, RSUs, and generous leave policies.
- Why this job: Make a real impact in a fast-growing team with innovative data solutions.
- Qualifications: Proficient in SQL and experienced in B2B tech environments.
- Other info: Diverse and inclusive culture with excellent career progression opportunities.
The predicted salary is between 50000 - 65000 £ per year.
Wise is a global technology company, building the best way to move and manage the world’s money. Min fees. Max ease. Full speed. Whether people and businesses are sending money to another country, spending abroad, or making and receiving international payments, Wise is on a mission to make their lives easier and save them money.
As part of our team, you will be helping us create an entirely new network for the world’s money. For everyone, everywhere. Wise Platform takes all of the world-class payments products Wise has built over the last 15 years and enables hundreds of millions of consumers and businesses to access them in the places where they already move and manage their money - with banks and online platforms.
Today, we’re already powering payments for some of the world’s top neobanks like Monzo, N26, and Nubank, alongside a growing list of leading global banks such as UniCredit, Morgan Stanley and Standard Chartered. In the online platforms space, we’re powering payments for partners across a whole range of industry verticals and use cases.
Whether that’s leading marketplaces like Google, Agoda, or Upwork, workforce management tools like Deel, or investment platforms like Interactive Brokers - we’re bringing the power, simplicity, and transparency of Wise to even more people and businesses. And, we’re just getting started! Wise Platform is one of the newest and fastest growing products at Wise. We’re a global and highly cross‑functional team, spearheading Wise next phase of growth!
THE ROLE
We’re looking for a Senior Commercial Analyst to join our deal‑flow analytics team in Wise Platform. You will partner with our Commercial and Delivery teams, empowering them with data and insights to drive growth. Your analysis and sales intelligence will enable us to optimise sales and delivery processes, reduce time to revenue and drive team performance.
If you’re a commercially minded analyst, with a knack for bringing data to life and passion for helping businesses grow, we’d love to hear from you!
WHAT YOU’LL BE DOING
- You will deliver high‑impact, scalable data solutions such as building and maintaining robust reporting models and data products that directly support the sales and delivery team's efficiency and effectiveness.
- You will design and implement key performance indicators (KPIs) for our commercial and delivery teams, with a laser focus on revenue as a core metric, ensuring clear measurement and understanding of team performance, alongside providing actionable recommendations to drive commercial objectives.
- You will be leveraging advanced analytics, crafting dashboards and visualisations that bring commercial performance data to life, tell a clear story, and offer diagnostic power:
- For the Sales Team: Analysing sales pipeline health, deal velocity, stage conversion rates, and win/loss reasons. You'll build reports to track individual sales representative performance against quotas, identify top performers, and pinpoint areas for improvement. This includes leveraging Salesforce's opportunity management, forecasting, and activity tracking features.
- For the Pre‑Sales Team: Monitor engagement metrics (e.g., number of RFIs, technical discussions), the impact of pre‑sales activities on deal progression and win rates, and the efficiency of their resource allocation. You'll create visibility into their contribution to the sales cycle and quantify their impact.
- For the Implementation/Delivery Team: Track, monitor and predict key metrics and data points across the project lifecycle. Work with the team to identify risks and opportunities to improve the speed and quality of implementations, which ultimately allows us to reduce time to revenue and successfully scale solutions with partners.
WHAT YOU’LL BRING
- You are proficient with SQL and know your way around data pipeline management tools such as Snowflake, dbt, Git, Airflow, Python, and Looker.
- You’re comfortable owning analytics from data transformation through to delivering actionable insights.
- You are commercially minded. Able to translate your analysis into impact and comfortable with opportunity sizing, forecasting and scenario modelling.
- You have experience working in a high‑growth B2B tech environment and have worked closely with commercial teams before.
- You are solution‑oriented and able to own projects from start to finish.
- You are comfortable motivating stakeholders across Wise and negotiating timelines to unblock yourself and make things happen!
- You are an excellent communicator, able to form your own opinions and effectively articulate them to win colleagues round to your way of thinking.
- You should also be comfortable writing and maintaining clear and concise documentation.
NICE TO HAVE BUT NOT ESSENTIAL
- Experience working with sales and project management data in tools like Salesforce or similar.
- Proficient in python’s various data transformation, visualisation and statistics libraries i.e. pandas, numpy, scipy and plotly.
- Experience working with payments or transactions data.
PROCESS
- Screening call with recruiter - 30 mins
- Take home Case Study - 5 days to submit
- Technical Interview - 1.5 hours
- Stakeholder Interview - 1 hour
- Final Interview - 1 hour
Preparation material and further context will be provided at each stage.
BENEFITS
- Base salary of £60k - £75k (based on experience)
- RSUs in a growing and publicly listed company
- Work from (almost) anywhere in the world for up to 90 days a year
- Flexible working - you’re trusted to do the right thing and be responsible
- Discounted gym memberships and cycle to work scheme
- A paid 6‑week sabbatical leave after four years
- 26 weeks maternity leave at full pay
- An annual self‑development budget
- Pet friendly offices
Find out more about our benefits in our London office.
For everyone, everywhere. We’re people building money without borders — without judgement or prejudice, too. We believe teams are strongest when they are diverse, equitable and inclusive. We’re proud to have a truly international team, and we celebrate our differences. Inclusive teams help us live our values and make sure every Wiser feels respected, empowered to contribute towards our mission and able to progress in their careers.
If you want to find out more about what it’s like to work at Wise visit Wise.Jobs.
Senior Data Analyst - Sales & GTM - WISE Platform employer: Wise
Contact Detail:
Wise Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Analyst - Sales & GTM - WISE Platform
✨Tip Number 1
Network like a pro! Reach out to current employees at Wise on LinkedIn, ask them about their experiences, and see if they can give you any insider tips. A friendly chat can sometimes lead to a referral, which is golden!
✨Tip Number 2
Prepare for the interview by diving deep into Wise's mission and values. Show us that you’re not just another candidate; you’re genuinely excited about making money management easier for everyone. Tailor your answers to reflect how you can contribute to our goals.
✨Tip Number 3
Practice your data storytelling skills! When discussing your past experiences, focus on how your insights led to real business outcomes. We want to see how you can turn numbers into narratives that drive decisions.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re serious about joining the Wise team. Let’s make it happen!
We think you need these skills to ace Senior Data Analyst - Sales & GTM - WISE Platform
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter for the Senior Data Analyst role. Highlight your experience with SQL, data pipeline management, and any relevant commercial insights you've provided in past roles. We want to see how you can bring value to our team!
Showcase Your Analytical Skills: In your application, don’t just list your skills—show us how you've used them! Share specific examples of how your analysis has driven growth or improved processes in previous positions. We love seeing data come to life through your storytelling!
Be Clear and Concise: When writing your application, keep it straightforward. Use clear language and avoid jargon unless it's necessary. We appreciate well-structured documents that are easy to read, so make sure your points are direct and impactful.
Apply Through Our Website: We encourage you to submit your application through our website. It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it gives you a chance to explore more about Wise and what we stand for!
How to prepare for a job interview at Wise
✨Know Your Data Tools
Make sure you brush up on your SQL skills and get familiar with data pipeline management tools like Snowflake and dbt. Be ready to discuss how you've used these tools in past roles, especially in a B2B tech environment.
✨Showcase Your Commercial Mindset
Prepare examples of how your analysis has directly impacted business outcomes. Think about times you've translated data into actionable insights that drove revenue or improved team performance.
✨Master the Art of Storytelling with Data
Practice explaining complex data findings in a simple, engaging way. Use visuals or dashboards to illustrate your points, as this will help you convey your insights effectively during the interview.
✨Engage with Stakeholders
Be ready to discuss how you've collaborated with commercial teams in the past. Highlight your communication skills and how you've motivated stakeholders to embrace your data-driven recommendations.