Senior Data Analyst

4 weeks ago

London, United Kingdom Plutus Full time

We’re on a mission to make app building so easy everyone can do it – regardless of their background, tech knowledge or budget. We’ve already helped thousands of entrepreneurs, small businesses and even global brands, like the BBC, Makro and Pepsi achieve their software goals and we’ve only just started.

Our team has grown to over 800 people across the world and our recent announcement of $250m Series D funding (and partnership with Microsoft) means there’s never been a more exciting time to become a Builder.

Each role at Builder has unlimited opportunities to learn, progress and challenge the status quo. We want you to help us become even better at supporting our customers and take AI app building to new heights.
In return for your skills and commitment, we offer a range of great perks, from hybrid working and a variable annual bonus, to employee stock options, generous paid leave, and trips abroad #WhatWillYouBuild

We are looking for a Data Analyst to join our Product Team at a stage where you can really make a difference. This role is a great opportunity for an experienced Analyst who thrives in a fast-paced technical environment and is looking for an opportunity to dive deep into analyses, build dashboards, and communicate actionable solutions that drive business growth. Ability to write and run optimised SQL / PostgreSQL queries.
Ability to present data in easily digestible manner.
Curiosity to deep dive into the whys and whats of a data request.
Ability to identify new patterns /inferences from the presented data.
Ability to understand different data frameworks and deep dive into multiple database architecture to derive the query needed.
Convert non-technical requirements to data requirements which would fetch the result.
Bachelor's degree in Math, Statistics, Comp Science, Engineering, or other technical field required; Comfortable manipulating, transforming, and analyzing complex, high-volume, high-dimensionality data from varying sources.
2+ years' experience performing quantitative analysis, preferably for an Internet or technology company.
Strong hands-on experience with SQL.
Experience in reporting and dashboards involving very large datasets and multiple data sources, with the ability to interpret data and produce meaningful insights.
Good understanding of statistical analysis, data warehousing, data modeling.
Preferred experience Bl/visualization tools such as Tableau, Looker, Qlikview, Google Analytics etc.
Proven ability to work in a fast-paced environment, meet changing deadlines and priorities on multiple simultaneous projects.
Core Skills: SQL, Data Analysis, Data Visualisation
Seniority: Mid, Senior #J-18808-Ljbffr

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