Data Analyst
Are you a data-driven individual? Do you love identifying areas of improvement and building a robust understanding of a business? Then this Data Analyst role could be made for you!
Location
Worcester
Type
Full-Time, 09:00 - 17:00, Monday - Friday.
Welcome to Motel
Our story began during a road trip in the 1990s, where our founders, Will and Andy, travelled across America collecting vintage items while living out of motels. They started purchasing vintage clothing in the USA and selling it wholesale, which eventually led to the creation of stores. From there, they began designing reworked vintage pieces, and thus, Motel was born.
Over 30 years and a team of 200+ people later, every piece of clothing we make is created with the same spirit of fun, freedom and adventure as the road trip that first defined the brand. We’re still ambitious and independent, but now we’re a global team - we work from an operational base in Worcester, a design studio in London and a creative studio in Bali.
The role
At Motel, some of our most critical work happens behind the scenes. Our Finance team is essential in ensuring our financial health and strategic decision-making. By providing accurate, consistent data, they empower our entire organization to make informed decisions and drive success.
We’re currently seeking a detail-oriented and analytical problem-solver to join our Finance team in Worcester as a Data Analyst. If you have a passion for data and a knack for uncovering insights, we want you to help us keep our operations running smoothly.
Main tasks & responsibilities
We are seeking a detail-oriented and analytical Data Analyst to join our Finance department. The successful candidate will be responsible for analyzing large datasets, extracting meaningful insights, and providing actionable recommendations to support strategic decision-making across the organization.
- Extract transactional data from online payment platforms such as Shopify, Klarna, Clearpay, Layby and analyse against processed transactions.
- Periodic sampling of Credit Balances
- Develop set of KPIs to benchmark against past performance and provide improved visibility of operational success.
- Collect, clean, and preprocess data from various sources to ensure accuracy and completeness.
- Perform exploratory data analysis to identify trends, patterns, and correlations within datasets.
- Develop and maintain dashboards, reports, and visualizations to communicate key insights to stakeholders.
- Collaborate with cross-functional teams to define analytical requirements and prioritize data-driven initiatives.
- Conduct statistical analyses, hypothesis testing, and predictive modeling to uncover actionable insights.
- Identify opportunities for process improvements and efficiency gains based on data analysis findings.
- Monitor and evaluate the performance of business processes and initiatives, and provide recommendations for optimization.
- Stay current with industry trends and best practices in data analysis, visualization, and statistical techniques.
About you
We are always keen for enthusiastic and ambitious people to join the Motel team, and if you think you have something to offer then this is your chance to be part of something special!
For this role, we would ideally be looking for;
- Bachelor's degree in Statistics, Mathematics, Economics, Computer Science, or related field. Master's degree is preferred.
- Proven experience as a Data Analyst or similar role, with expertise in data manipulation, analysis, and visualization.
- Proficiency in SQL, Python, R, or other programming languages for data analysis and manipulation.
- Strong analytical skills with the ability to interpret complex datasets and extract actionable insights.
- Experience using Netsuite (Oracle)
- Experience with data visualization tools such as Tableau, Power BI, or matplotlib/seaborn.
- Excellent communication skills with the ability to present findings and recommendations to non-technical stakeholders.
- Detail-oriented mindset with a focus on accuracy and precision in data analysis.
Ability to work independently and collaboratively in a fast-paced environment, managing multiple priorities and deadlines effectively.
What's in it for you?
- Competitive salary in line with industry benchmarking
- 3% pension contributions from Motel; dependant on 5% pension contributions from yourself
- 25 days annual leave; with additional days for long service
- Birthday day off post probation
- Team socials and meetups
- Monthly well-being activities to support healthy wellbeing
- Tailored progression pathways
- A thorough health support service
- Access to professional support & mentoring
- Bonus Scheme for all employees, paid out twice a year
- Motel discount
- Motel is a growth mentality company
- Option to work from home 2 days a week post probation
- Department
- Finance
- Locations
- Worcester, UK
- Remote status
- Hybrid Remote
Data Analyst
Are you a data-driven individual? Do you love identifying areas of improvement and building a robust understanding of a business? Then this Data Analyst role could be made for you!
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