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Data Analyst

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  • Job
    Full-time
    Mid & Senior Level
  • London

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Requirements

  • Analytical & Problem-Solving Skills: Strong analytical skills with the ability to derive meaningful insights from data.
  • Technical Proficiency: Proficiency in SQL for data extraction and manipulation.
  • Data Visualisation Expertise: Ability to create data visualisations that effectively communicate insights to both technical and non-technical stakeholders.
  • Attention to Detail: Strong attention to detail, ensuring accuracy and reliability in all analyses and reports.
  • Business Acumen: Understanding of business operations and the ability to translate data insights into actionable recommendations.
  • Communication Skills: Good written and verbal communication skills, with the ability to present complex information clearly.
  • Adaptability: Ability to thrive in a fast-paced environment, managing multiple priorities and deadlines effectively.
  • Initiative & Ownership: Proactive in identifying opportunities for improvement and taking ownership of tasks.
  • Collaboration: Ability to work collaboratively in cross-functional teams within a tribe structure and build strong relationships with stakeholders.
  • Tools & Platforms: Experience with data analysis and visualisation tools such as Looker or Tableau, and familiarity with dbt and Snowflake is a plus.

Responsibilities

  • Data Analysis & Insights: Analyse datasets to identify trends, patterns, and insights that inform business decisions.
  • Data Visualisation: Create data visualisations using Looker to effectively communicate findings to stakeholders.
  • Stakeholder Collaboration: Work with product, marketing, engineering, and operations teams within your tribe to understand their data requirements and provide actionable insights.
  • Performance Tracking: Develop and maintain dashboards to monitor key performance indicators (KPIs) and track the success of various initiatives.
  • Statistical Analysis: Apply statistical techniques to validate models and ensure data accuracy.
  • Data Quality: Conduct regular data quality checks and implement best practices to ensure data integrity and consistency.
  • Data Modelling: Support the modelling of data in .dbt to transform raw data into actionable insights and maintain scalable data pipelines.
  • Proactivity: Take initiative to identify new growth opportunities and propose solutions to complex problems.
  • Dealing with Ambiguity: Manage ambiguity effectively by making informed decisions with incomplete information and adapting to changing priorities.

FAQs

Do we support remote work?

Yes, we offer a hybrid working model that allows you to spend three days a week with your team in our collaborative London office and gives you flexibility with the remaining days.

Is there a competitive bonus scheme?

Yes, we have a competitive bonus scheme designed to reward and recognize high performance.

What kind of benefits budget do we offer?

We provide a flexible benefits budget of £50 per month, allowing you to spend on various personal needs such as subscriptions, classes, or other purchases.

Is there support for mental wellbeing?

Yes, we offer access to therapy and mental health sessions through Oliva to support our team members' mental wellbeing.

How does the learning and development program work?

We provide personal budgets for books and training courses to help you grow in your role, plus two additional days each year for you to further enhance your skillset.

Do we offer private healthcare?

Yes, we have a private healthcare plan that includes benefits from Vitality, such as reduced gym memberships and discounts on smartwatches.

What is the recruitment process like?

The recruitment process includes an initial call with our Tech TA partner, a skill-based interview with the Head of Analytics, a technical interview with a live case study, and a culture interview with one of our analytics stakeholders.

What qualities are we looking for in a Data Analyst?

We seek candidates with strong analytical and problem-solving skills, proficiency in SQL, experience with data visualization tools, attention to detail, and the ability to communicate complex information clearly.

Is there an emphasis on collaboration within the teams?

Yes, we encourage collaboration within cross-functional teams and value strong relationships with stakeholders as we work toward our strategic goals.

How do we ensure data quality?

We conduct regular data quality checks and implement best practices to maintain data integrity and consistency.

Is there room for career growth?

Yes, we provide opportunities for personal and professional development through training, courses, and budget allocations towards learning resources.

A techie insurance company. Not a sweet shop.

Finance
Industry
51-200
Employees
2017
Founded Year

Mission & Purpose

Definitely not a sweet shop. We're the tech company making insurance more accessible and more affordable for as many people as possible. We’re proud of our journey so far. We’ve helped hundreds of thousands of customers get fairer cover, all while polishing a 4.5 star Trustpilot score. But we’re just getting started. Over the next 2 years, we’re planning to help even more people by launching products and services across different sectors and countries 🚀

Culture & Values

  • Bias for Action

    We carry urgency into our every day, knowing that only by making daily progress can we drive long-term growth.

  • We are challenging and honest

    We optimise for truth and progress, which requires us to never shy away from difficult conversations with each other.

  • We take ownership

    We take on challenges, and put our hands up when things go wrong.

  • We are selfless

    We work hard, together and without ego.

  • We are bold

    To serve our customers best, we experiment relentlessly, make tough decisions and go where others won’t.

  • Simplify for Success

    We don’t overcomplicate or try to be too clever. Less is more.”

Benefits

  • Bonus Scheme

    We want to reward you for doing your best work and allow everyone to share in Marshmallow's success

  • Private healthcare

    We want to support everyone’s wellbeing at Marshmallow, which is why we offer private healthcare insurance with Vitality.

  • Mental wellbeing

    We have partnered with Oliva to offer mental health support and make therapy sessions more accessible.

  • Cycle to work scheme

    We’re registered under the Cycle-to-Work scheme, so you can buy a new bike tax-free. Lycra shorts optional.

  • Learning and training

    Personal budgets for books and training courses to help you grow in your role. Weekly book clubs and learning sessions. Plus 2 days a year - on us! - to further your skillset.

  • Company socials

    We give all of our teams monthly budgets to get to know each other better outside of work. Plus we have company-wide socials every two weeks, themed parties, and more.

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