Senior Insight Analyst in Camden Town

Senior Insight Analyst in Camden Town

Camden Town Full-Time 65000 - 70000 £ / year (est.) Home office (partial)
The Modern Milkman

At a Glance

  • Tasks: Analyse data to drive smart decisions and improve business strategies.
  • Company: Join Modern Milkman, a mission-driven company focused on sustainability.
  • Benefits: Enjoy 25 days holiday, share options, and a £300 L&D budget.
  • Other info: Flexible working, volunteering opportunities, and a vibrant company culture.
  • Why this job: Make a real impact by preventing plastic waste and enhancing customer experiences.
  • Qualifications: Experience in insights analysis, strong SQL skills, and a problem-solving mindset.

The predicted salary is between 65000 - 70000 £ per year.

Senior Insight Analyst
Salary - £65-70k per year
Location - Either London or Manchester / Hybrid

Overview

This is a fantastic opportunity for an experienced Senior Insight Analyst to make an impact at a growing business with an inspiring mission. Our goal at Modern Milkman is to make the home sustainable, and, to date, we have prevented over 100 million plastic bottles from polluting the planet. The data team exists to enable better decisions for everyone at Modern Milkman. We care about leveraging data to improve the way we operate, how we serve our customers, how we build digital products and more. We deliver value-driving data products and generate actionable insights so we can make smarter, data-informed decisions. As part of a small, agile team, this role will contribute to increased data-informed tactical and strategic decision-making business-wide. Insights from critical analysis alongside the production and improvement of our data products will help us to better understand our customers, our products, our operations and more, resulting in smarter decisions and improved business outcomes.

Responsibilities

  • Conduct analysis which enables data-informed day-to-day decision making, as well as identify insights which inform business strategy
  • Provide actionable insights across a range of business areas, helping us to better understand subscriber behaviour and optimise business operations
  • Create, maintain and continuously improve upon data products within our data product portfolio (data models in dbt, reports etc.), ensuring they are purposeful, meet business needs and deliver business value
  • Empower stakeholders to generate self-serve insights through leveraging our data products, as well as supporting the development of their data literacy skills
  • Assist in producing excellent documentation on our data products, ensuring easy knowledge transfer across the team and high accessibility for users of analytics outputs

How you’ll do it

  • Proactively identify and deliver high value applications of analytics across the business, curiously seeking out game changing insights, solving business problems and identifying opportunities
  • Build great relationships with stakeholders, understanding their needs and challenges and providing appropriate solutions
  • Effectively communicating actionable insights with clear business recommendations and the use of storytelling to land key messages with non-technical stakeholders
  • Collaborate with your peers in the data team to triage data requests and issues
  • Lead and manage analytics projects, ensuring timely delivery and alignment with business goals
  • Be proactive and driven, taking initiative to find answers and keep work moving in a lean, fast-paced environment

Qualifications

  • Experience in an insights/data analyst role, in a fast-paced/start-up environment ideally a B2C/D2C or a company where you have had exposure working across various teams (e.g., Product, Growth)
  • Strong experience conducting analysis and identifying insights that inform broader business strategy (e.g., analysing churn, customer lifetime value, retention metrics, and A/B testing)
  • Excellent SQL skills, strong dbt & Python skills are a plus
  • Proven ability to leverage statistical analysis and data mining techniques to deliver commercial value
  • Strong analytical and problem-solving skills with the ability to think critically and strategically
  • Proficiency in data visualisation/BI tools (e.g., Thoughtspot)
  • Commercially aware with the ability to identify and focus on business value and outcomes over project outputs
  • Excellent problem-solving skills with the ability to grasp business needs and identify root cause problems
  • A \'solve it once\' mentality, striving to build reliable and scalable solutions
  • Familiarity with A/B testing and experimentation design would be advantageous

Benefits

  • 25 days holiday, 8 bank holidays (5 flexible ones). Plus, your birthday off too!
  • EMI Share Options
  • Up to 6% matched company pension
  • Access to thanksBen, for a range of core & flexible benefits
  • Employee discount off Modern Milkman products
  • Enhanced parental leave & pay
  • Life Insurance
  • Cycle to work scheme & Octopus EV salary sacrifice
  • In-person company events
  • £300 working from home set up
  • £300 L&D budget per annum
  • £300 Health and Well Being budget
  • Endless samples of our stock
  • Up to 4 weeks working abroad
  • 2x volunteering days and team volunteering days
  • Loads of company clubs to join
#J-18808-Ljbffr

Senior Insight Analyst in Camden Town employer: The Modern Milkman

At Modern Milkman, we pride ourselves on being an exceptional employer that champions sustainability and innovation. Our hybrid work model in vibrant locations like London and Manchester fosters a collaborative and inclusive culture, while our commitment to employee growth is evident through generous benefits such as a £300 learning and development budget, enhanced parental leave, and opportunities for volunteering. Join us to make a meaningful impact while enjoying a supportive environment that values your contributions and well-being.

The Modern Milkman

Contact Details:

The Modern Milkman Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Senior Insight Analyst in Camden Town

Get Involved in Data Science Meetups

Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like The Modern Milkman!

Show Off Your Projects

Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Senior Insight Analyst at The Modern Milkman.

Leverage Professional Networks

Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like The Modern Milkman.

Apply Directly through Our Website

When you find a suitable opening like Senior Insight Analyst at The Modern Milkman, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!

We think you need these skills to ace Senior Insight Analyst in Camden Town

Data Analysis
SQL
dbt
Python
Statistical Analysis
Data Mining Techniques
Data Visualisation

Some tips for your application 🫡

Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!

Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!

Craft a Tailored Cover Letter:For a full-time role at The Modern Milkman, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.

Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at The Modern Milkman. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!

How to prepare for a job interview at The Modern Milkman

Brush Up on Your Statistics

For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!

Showcase Your Projects

Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!

Get Comfortable with Python and R

Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at The Modern Milkman!

Prepare for Case Studies

Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.