Business Intelligence Analyst

London, England, United Kingdom · Data

Description

At Flock we’re having our very own ‘rocketship’ moment, growing faster than we ever imagined. With thousands of customers comes hundreds of thousands of data points - and that’s where you come in. We’re on the lookout for a smart, nimble Business Intelligence Analyst to work across the entire company, injecting data and analytics into every decision we make.

We’re reinventing drone insurance from the ground up, using real-time data to insure drone flights on a per-flight basis. Data is at the heart of everything we do at Flock. From the way we price our hour-long policies, to the building of our new features and products, to our strategic roadmap and geographical expansion, we rely on business intelligence and data-driven insights. As our Business Intelligence Analyst you will ensure we remain several steps ahead of the competition, providing the entire Flock team with access to the right data and insights, at the right time.

You will work closely with our product, growth and business development teams to extract insights from product and market data.

You will help us understand how our wide range of marketing initiatives are performing, analyse customer data and conversion rates, and identify market expansion opportunities to support our rapid expansion strategy. You will analyse data using a combination of in-house and third-party analytics tools, generating powerful visualisations and game-changing business insights.

Requirements

Key Responsibilities

The tools you will be using include some or all of the below.

Requirements

Bonus points

Our process

  1. Apply on this page. Please explain (briefly) why you’re interested in this position and why you believe you’re the right person for this job. It’d be great if you could provide examples of your past work and achievements.
  2. We will schedule you in for an initial 20 minute phone conversation with Courtenay (Data Scientist).
  3. We will ask you to do a short exercise that consists of analysing a small dataset, and answering a few commercial questions. You will be able to demonstrate your data-querying and visualisation skills.
  4. In the final stage you will be invited for an on-site interview where you will present your exercise answers to various members of the team, including Courtenay (Data Scientist), Antton (Founder), and Ed (CEO). You will also have the opportunity to meet the rest of the team in a very casual setting for a friendly chat.

Benefits

Remuneration

Work-life balance

Learning & Development

Perks

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