Data Analyst in Birchwood

Data Analyst in Birchwood

Birchwood Full-Time 30000 - 40000 £ / year (est.) No working from home possible
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At a Glance

  • Tasks: Create dashboards and SQL queries to deliver insightful data for decision-making.
  • Company: Exciting UK-based apparel brand with ambitious growth plans.
  • Benefits: 32 days holiday, generous discounts, private healthcare, and bonus schemes.
  • Other info: Inclusive workplace committed to diversity and personal development.
  • Why this job: Join a dynamic team and help shape the future of a growing brand.
  • Qualifications: Experience in retail data analysis and proficiency in SQL and Power BI.

The predicted salary is between 30000 - 40000 £ per year.

Description

ARNE is a UK-based apparel and footwear brand based in Birchwood Park, near Warrington.

We design and develop all our products in the UK, working with trusted manufacturing partners across both the near and far east.

All our products are available directly to customers through ARNEclo. com, offering a seamless online shopping experience.

We’re also proud to be stocked in Selfridges, both in-store and online, and we’ve recently opened our first permanent retail store at Liverpool ONE – a huge milestone for the brand.

Looking ahead, we have ambitious goals for the next decade, and the team firmly believes they’re all achievable.

From launching new product categories and expanding internationally to investing in paid media, CRM, and growing our retail presence — the next chapter for ARNE is shaping up to be an exciting one.

And this is only the beginning!

We’ve come a long way from starting out in Mum’s bungalow back in 2018 to our all-new, fully bespoke HQ.

This space will be our home for at least the next 5–10 years, and while it’s not quite our style to shout too loudly, it’s here that we plan to reach our goals, take ARNE global, and further establish ourselves as a truly iconic UK brand.

We are now looking for a Data Analyst to join the team and support ARNE by delivering accurate, reliable data that enables informed decision-making and supports key business workstreams.

Your day-to-day role and responsibilities include

  • Creating and maintaining dashboards in Power BI and creating SQL queries to provide daily, weekly, monthly and adhoc insights with the end goal of having an automated reporting suite that enables a self-serve data platform across the business.
  • Working with key stakeholders to capture key data needs which then allows for more efficient reporting to be built.
  • Acting as a key support to the Analytics Engineer to ensure data is mined, cleansed and validated including the monitoring of data pipelines.
  • Ensuring data integrity, security and reliability across systems.
  • Working closely with Head of Financial Planning and Analysis and finance team in the creation of financial models and forecasts and streamline month end processes.
  • Respond to ad hoc requests, acting as a support function for the wider business and as a point of contact should there be data issues.

Requirements

  • Previous experience working in a fast-paced fashion, retail or DTC e-commerce brand is essential.
  • Experience in using SQL, Power BI or similar relational databases / AI tools to build queries, data models and reporting solutions.
  • Strong understanding of e-commerce and marketing data ecosystems such as Shopify, Klaviyo and Meta ads.
  • Excellent communication and organisational skills, capable of handling complex issues with structured thinking and analytical abilities.
  • Strong Microsoft Excel user.
  • Strong attention to detail and ability to manage competing deadlines independently.

Benefits

  • We are proud to be recognised as a Medium sized Sunday Times Best Place to Work two years a row!
  • 32 Days Holiday (including Bank Holidays) + your Birthday off
  • Holidays increasing up to 36 days with service
  • Option to buy / sell holidays
  • Generous staff discount
  • Annual and quarterly bonus schemes based on company performance
  • Private Healthcare including Dental & Optical Plans after probation
  • Health Cash Plan from day one
  • Life assurance paying 5x annual salary from day one
  • Discounted marketplace with money off/cash back from 100’s of places
  • Employee Assistance Programme
  • Cycle to Work Scheme
  • Tech Scheme

ARNE are an equal opportunities employer.

We believe that diverse people bring different skills and are committed to ensuring our business support the needs of potential colleagues from Ethnic Minority backgrounds and colleagues who may be disabled or neurodiverse.

We are committed creating a great place to work through diversity and inclusivity and we strongly encourage applications from candidates from all backgrounds to join our growing team.

Data Analyst in Birchwood employer: Arne Clo

ARNE is an exceptional employer, offering a vibrant work culture in Birchwood Park, where creativity and innovation thrive. With generous benefits like 32 days of holiday, private healthcare, and a commitment to employee growth, ARNE fosters an inclusive environment that values diverse perspectives. Join us as we embark on an exciting journey to expand our brand globally, while enjoying the perks of being part of a recognised Best Place to Work.

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Contact Details:

Arne Clo Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Data Analyst in Birchwood

Get Involved in Data Science Meetups

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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 Arne Clo.

Apply Directly through Our Website

When you find a suitable opening like Data Analyst at Arne Clo, 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 Data Analyst in Birchwood

SQL
Power BI
Data Modelling
Dashboard Creation
Data Integrity
Data Cleansing
Financial Modelling

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 Arne Clo, 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 Arne Clo. 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 Arne Clo

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 Arne Clo!

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.