Time since we first saw it
Day 0
Early. Similar jobs usually come down between day 5 and day 43.
At Wise, jobs usually come down by about day 11.
From 14,714 similar postings that came down, and 360 of Wise’s. Coming down is not always a hire.
Lead Data Analyst - Wise Business - Commercial & Sales
London, United Kingdom
Likely evergreen, first seen by us 6 hours ago- Pay
- Pay not listed
- Work setting
On-site — work setting source
Work setup in the employer’s posting: On-site
From the employer’s posting- Employment
Full-time — employment source
Employment type in the employer’s posting: Full-time
From the employer’s posting
What you’ll bring
All qualificationsCore experience
- You are proficient with SQL and know your way around data pipeline management tools such as Snowflake, dbt, Git, Airflow, Python, and Looker.
- Experience working with sales and project management data in tools like Salesforce or similar.
- You have experience working in a high-growth B2B tech environment and have worked closely with commercial teams before.
- Proficient in python’s various data transformation, visualisation and statistics libraries i.e.
- Experience working with payments or transactions data.
Qualification wording
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.
Experience working with sales and project management data in tools like Salesforce or similar.
You have experience working in a high-growth B2B tech environment and have worked closely with commercial teams before.
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.
Posting record
Report an errorLikely evergreenReposted 2 times since Sep 19, 2026. A role that keeps coming back is often kept open to collect applications rather than to fill one seat.
- Status in our records
- Live
- First seen by us
- Nov 14, 2026today
- Recorded sightings
- 1
- Reposted
- 2 times since Sep 19, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications. We count a repost when the same title and location comes back as a new listing within 60 days of the last one coming down. Some hiring systems expire listings on a schedule, so repost rates vary by system.
How this job compares
Wise is hiring
63 open jobs
Open jobs by the week we first saw them, last 12 weeks.
- Analyst hiring is picking up
- Takes jobs down quickly
- 41% of open jobs were reposted
See how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Python
- SQL
- dbt
- Looker
- Snowflake
- Airflow
- NumPy
- pandas
- Plotly
- SciPy
Where the posting names them
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.
- 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.
Your next step
Complete your application on jobs.smartrecruiters.com. The employer’s form will show what is required.
Applying through SmartRecruiters
- Uploading your resume fills in the application form for you, so check what it filled before you send.
Already applied? Track this application
Has Wise posted this job before?
Yes. We’ve followed 2 other Lead Data Analyst - Wise Business - Commercial & Sales jobs there since September 2026. 2 came down, usually after about 24 days.
Demand for Analyst roles
New Analyst postings at the employers we follow are up 23% over the last 6 weeks compared with the 6 before.
Each bar is one week of new postings. The darkest bars are the last 6 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
About the role
We file this job under Analyst, by the work the posting describes.
Analysts answer business questions with data. They pull numbers with SQL, build reports and dashboards, and explain what changed and why to the people making decisions.
Most postings ask for SQL, spreadsheets, a dashboard tool such as Tableau or Power BI, and clear writing.
Unlike a data scientist, an analyst mostly explains what happened rather than building models that predict what will.
Job description
Job Description
We’re looking for a Lead Product Analyst to support our Sales & Total Service teams, working on Wise Business, our international business account.
The Wise Business account helps small and medium-sized businesses across the world focus on what matters most to them: growth.
An increasing share of our 625,000+ business customers – and the 45,000+ businesses that join them every month – trust Wise with their day-to-day finances.
The Sales and Total Service - Account Specialist (TS-AS) teams operate at the frontline of high-value customer acquisition and retention. Together, they guide prospective clients through onboarding, deliver proactive account management, and help businesses navigate product complexities so servicing scales smoothly alongside business growth.
WHAT YOU’LL BE DOING
Enablement & Tooling: Build scalable self-serve dashboards, forecasting calculators, and cohort health reports for AE and TS-AS teams, while delivering monthly performance and ROI reporting to leadership.
Portfolio Performance: For both TS-AS and AE track performance of their respective portfolios and drive optimization strategies for things like forecast attainment, product activation and churn prevention.
Pipeline & Funnel Optimization: Track and optimize both Sales and TS-AS conversion funnels—refining assignment criteria, assessing channel performance, evaluating lead flow, and diagnosing key blockers to revenue attainment.
Go-To-Market (GTM) Strategy: Conduct TAM/SAM analysis to inform regional expansion, build capacity/ramp-up forecasts, and shape the data-driven framework for transitioning from inbound sales to outbound outreach.
Team Performance & SLA Analytics: Define KPIs to evaluate rep and agent health, tracking support SLAs, sales deal velocity, target attainment, and overall operational capacity.
Cross-Functional Data Foundations: Partner with Marketing to optimize lead management and nurture journeys, and collaborate with Analytics Engineering to establish single-source-of-truth data pipelines (including Salesforce integrations).
Qualifications
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.
Additional Information
PROCESS
1) Screening call with recruiter - 30 mins
2) Take home Case Study - 7 days to submit
3) Technical Interview - 1.5 hours
4) Stakeholder Interview - 1 hour
5) Final Interview - 1 hour
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.
Keep up to date with life at Wise by following us on LinkedIn and Instagram.
Company Description
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.
More about our mission and what we offer.
Source details
Source notes
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- Pay
No pay amount identified in the saved description.
- Location & working pattern
London, United Kingdom
Working pattern and location restrictions need checking in the full posting.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.