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Data Analyst
Workonomics
- London, England, United Kingdom
- London, England, United Kingdom
À propos
Company
| B2B, Deep Tech, AI Research Size
| 15 people Stage
| Seed Role
| Data Analyst Level
| Mid-Level Tech
| Python, SQL Based
| Spitalfields, London Working
| hybrid (3 days a week in-office) Offer
| £45-55k + options Workonomics are partnering with a
deep - tech
startup using
foundational AI research
at
web scale
to map market structure across thousands of industries. They process
hundreds of terabytes of data
and develop
novel embedding methods
to model and solve a really complex problem: how do companies reliably track who competes with whom, and how that changes over time? Their work directly informs investment theses and strategies for leading private equity companies. With backing from
top investors ,
healthy runway , and
Series A on the horizon , they’re now getting the product enterprise-ready, and have a clear roadmap to execute on. They're hiring a
Mid - Level
Data Analyst
to help: Analyse & transform data : explore vast datasets, convert raw data into features for their core web application, and develop new requirements based on findings Prepare data : retrieve, clean, and structure large datasets for ML experiments Build dashboards : to track key metrics, translating complex data insights for non-technical stakeholders They're looking for someone experienced with as much of the following as possible: Data analysis : statistical methods, data interpretation Python : data manipulation, scripting SQL : data exploration, queries, analysis Visualisation tools : creating interactive dashboards ( Tableau ,
PowerBI ,
Hex ,
Posthog ) Data warehousing :
Snowflake ,
BigQuery ,
Redshift ,
MotherDuck ,
ClickHouse Bonus : familiarity with financial modelling and metrics is a plus. Experience with sql-based pipeline tools, like
dbt
or
sqlmesh A passion for
open source
(half the current team were found through their contributions) If this sounds like you, please hit apply for more specifics about the company and role.
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Compétences linguistiques
- English
Avis aux utilisateurs
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