Wise

Finance / FinServ

LeadDataAnalyst-Operations

£75–115k london, england, united kingdom FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for mid candidates.

The Brief

“Lead Data Analyst - Operations at Wise. Skills: analytical capacity planning, forecasting, predictive modeling, cause and effect analysis, strategic support and analysis, performance tracking, initiative optimisation, KPI implementation, target setting, process standardisation, SQL, Python, R, data visualisation. Analytical Capacity Planning and Forecasting. Data Pipeline Ownership”

Industry & Context.

Finance / FinServ
Problems you'll solve

break down complex operational problems; separate signal from noise

What They're Looking For.

Must Have

4+ years of experience in analytics, background working with operational team analytics including capacity planning, forecasting, efficiency analysis, quality assurance, predictive analytics, and experimentation, experience working with complex data models in SQL, analysing it using advanced SQL/Python/R, Able to demonstrate that you can tell a story and proactively give guidance on strategy based on insights, experience with data visualisation tools (Looker, PowerBI, Tableau etc. ), demonstrate storytelling ability with data, bias to action

Nice to Have

Prior experience in Operation domains, experience working with a WFM or Quality team, experience working with WFM Systems, experience with forecasting techniques such as ARIMA, Holt-Winters, and other time series analysis methods

What You'll Do.

Analytical Capacity Planning and Forecasting

Data Pipeline Ownership

Predictive Modeling and Cause and Effect Analysis

Strategic Support and Analysis

Performance Tracking and Initiative Optimisation

KPI Implementation and Target Setting

Stakeholder Collaboration and Process Standardisation

How You'll Work.

Team & Collaboration

collaborate closely with your operational leads, product managers, designers and engineers; collaborate closely with various stakeholders

Communication Scope

tell a story; proactively give guidance on strategy based on insights; demonstrate storytelling ability with data

Full Job 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](https://wise.jobs/our-mission) and [what we offer](https://wise.jobs/what-we-offer). We’re looking for an Lead Data Analyst who is passionate about our mission of Money Without Borders to partner with our operational teams to help drive data-driven decisions that would support our fast-growing product through scaling and optimising the team. As an Lead Data Analyst, you'll be driving our analytics efforts in our operations teams, who do everything from support our customers when they need help, to screening for criminal activity, to verifying customer identities at scale. Most importantly, you’ll collaborate closely with your operational leads, product managers, designers and engineers to bring your insights into real change for our customers and help drive our mission! This is an IC3 role. For more information on our Analytics Career Map and levelling structure, click [here](https://wise.jobs/analytics-career-map). THE ROLE We’re looking for a Lead Data Analyst who is passionate about our mission of Money Without Borders to partner with our operational teams to help drive data-driven decisions that would support our fast-growing product through scaling and optimising the team. As a Lead Data Analyst, you'll be driving our analytics efforts in our operations teams, who do everything from support our customers when they need help, to screening for criminal activity, to verifying customer identities at scale. Most importantly, you’ll collaborate closely with your operational leads, as well as work

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