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- Tasks: As an Analytics Engineer, you'll develop and maintain our data stack for impactful insights.
- Company: Join ME+EM, a fast-growing luxury fashion brand with a vibrant, entrepreneurial culture.
- Benefits: Enjoy 33 days of annual leave, birthday off, and generous discounts for you and your friends.
- Why this job: Be part of a dynamic team that values creativity, learning, and collaboration in a fun environment.
- Qualifications: 2+ years in analytics, proficiency in SQL and Python, and a passion for data are essential.
- Other info: We celebrate diversity and encourage all backgrounds to apply for this exciting opportunity.
The predicted salary is between 36000 - 60000 £ per year.
Job Role: Analytics Engineer
Location: Head Office, White City Place, West London
Contract type: Full Time, 37.5 hours per week
Workplace Type: Hybrid
About the Company
ME+EM is one of the UK’s fastest-growing luxury fashion brands. As a direct-to-consumer business we operate in a truly omnichannel way, with an extremely successful online store, monthly mailings and stores in London, Edinburgh and concessions in Harrods and Selfridges. Our exciting growth continues in spring 2024 with the opening of our first US stores.
At ME+EM we are an entrepreneurial, creative, and passionate group of people. We work hard, are enthusiastic to learn and are not afraid to take risks. Everyone contributes to our success at all levels, and that precisely what makes being a member of the team so rewarding.
Our office and stores are always busy and fast paced, but we work just as hard to make sure it’s fun, with social activities and biannual parties. We pride ourselves on being approachable, supportive, and welcoming and ensure that everyone’s hard work is rewarded. It takes all these things to build a strong, successful business and our door is always open to new talent ready to contribute to our growth and evolution.
About the Role
As an Analytics Engineer you will play an important role in developing and maintaining the data stack to support the business\’s data-driven decision-making. Working closely with cross-functional teams, including Marketing, Merchandise, IT and Finance, you will be the backbone behind valuable insights and recommendations. This role is for an individual who thrives on taking the initiative, is interested in working and learning about all aspects of the data stack and is confident in the accuracy of their output.
Responsibilities
- Ingesting and modelling data sources using Fivetran, Snowpipe, Snowflake, and DBT
- Developing and maintaining dashboards and visualisations using Sigma
- Contributing to the development of the data stack, including data architecture and ETL processes
- Conducting data quality checks and ensuring data accuracy and consistency
- Performing ad hoc analysis and reporting on business KPIs
- Collaborating internally with cross-functional teams to provide insights and recommendations
- Collaborating externally with tool providers and data consultants
Skills
- Attention to detail and rigorous approach to data analysis
- Ability to work independently and take initiative
- Experience working in an analytics role in a fast-paced environment (2+ years preferred)
- Tertiary level educated (e.g. STEM) and/or relevant qualifications
- Proficiency in SQL, Python, Excel, PowerPoint and BI tools
- Experience using and maintaining (desired) a modern data stack (Fivetran, Snowpipe, Snowflake, DBT and Sigma or similar)
- Experience with Cloud technologies (i.e. GCP and Azure) (desired)
- Experience working with marketing data sources (Google Analytics, Google Ads, Meta, etc.) (desired)
- Experience with predictive analytics (bonus)
- Strong analytical and problem-solving skills
- Excellent communication and collaboration skills
- Passion for data and eagerness to learn new technologies
- Flexibility and adaptability in a fast-paced startup environment
Employee Benefits
- 33 days annual leave for full time employees (25 days holiday + 8 bank holidays)
- A day off to celebrate your birthday.
- Pension Scheme
- Group Life Insurance
- Employee Assistance Programme (EAP)
- Length of Service Award
- Refer a Friend Scheme
- Staff uniform for retail employees
- Generous Staff and Friends and Family Discount
- Annual Volunteer Day
- Cycle to Work Scheme
- Tech Scheme
- Eye Care Vouchers
- Real Living Wage Employer
- Employee led committees
- Social events and biannual parties
- Enhanced maternity and paternity package after 2 years of service.
ME+EM is an equal opportunities employer committed to fostering and preserving a culture of diversity, equality, and inclusion in our workforce. As an equal opportunities’ employer, we do not discriminate against applicants based on race, colour, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. We believe that diversity enriches our workforce and strengthens our organisation. Therefore, we encourage minorities, LGBTQ+ candidates, and individuals with disabilities to apply for opportunities within our company.
Please note, due to the large number of applications we receive, we can only reply to those that are successful to the next stage.
ME+EM Ltd | Analytics Engineer employer: ME+EM Ltd
Contact Detail:
ME+EM Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land ME+EM Ltd | Analytics Engineer
✨Tip Number 1
Familiarize yourself with the specific tools mentioned in the job description, such as Fivetran, Snowpipe, Snowflake, and DBT. Having hands-on experience or projects showcasing your skills with these technologies can set you apart from other candidates.
✨Tip Number 2
Highlight your ability to work collaboratively with cross-functional teams. Prepare examples of past experiences where you successfully communicated insights or recommendations to different departments, as this is crucial for the role.
✨Tip Number 3
Showcase your passion for data by discussing any personal projects or continuous learning efforts related to analytics. This could include online courses, certifications, or even contributions to open-source projects that demonstrate your eagerness to grow in the field.
✨Tip Number 4
Prepare to discuss how you've handled data quality checks and ensured accuracy in your previous roles. Being able to articulate your approach to maintaining data integrity will resonate well with the hiring team.
We think you need these skills to ace ME+EM Ltd | Analytics Engineer
Some tips for your application 🫡
Understand the Company Culture: Before applying, take some time to understand ME+EM's culture and values. Highlight your entrepreneurial spirit and passion for fashion in your application to show that you align with their team.
Tailor Your CV: Make sure your CV reflects your experience in analytics, particularly in fast-paced environments. Emphasize your proficiency in SQL, Python, and any relevant tools like Fivetran or Snowflake.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for data and your eagerness to learn new technologies. Mention specific projects or experiences that demonstrate your analytical skills and ability to collaborate with cross-functional teams.
Showcase Relevant Experience: When detailing your work experience, focus on roles where you ingested and modeled data, developed dashboards, or conducted data quality checks. Use metrics to quantify your impact wherever possible.
How to prepare for a job interview at ME+EM Ltd
✨Show Your Passion for Data
Make sure to express your enthusiasm for data and analytics during the interview. Share examples of how you've used data to drive decisions in previous roles, and demonstrate your eagerness to learn new technologies.
✨Highlight Relevant Experience
Discuss your experience with the tools mentioned in the job description, such as SQL, Python, and BI tools. Be prepared to provide specific examples of projects where you utilized these skills, especially in a fast-paced environment.
✨Prepare for Technical Questions
Expect technical questions related to data ingestion, modeling, and quality checks. Brush up on your knowledge of Fivetran, Snowpipe, Snowflake, and DBT, and be ready to explain how you've applied these in your work.
✨Demonstrate Collaboration Skills
Since the role involves working closely with cross-functional teams, be prepared to discuss your collaboration experiences. Share how you've effectively communicated insights and recommendations to different stakeholders in the past.
