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For Companies At a Glance
- Tasks: Join us as a Data Analyst to shape our digital marketing strategies and KPIs.
- Company: We're a leading company in home electronics and appliances, driving innovation in the market.
- Benefits: Enjoy a collaborative work environment with opportunities for growth and learning.
- Why this job: Make an impact by analysing data that drives our marketing success and product strategies.
- Qualifications: You need a degree and 5+ years in data marketing, plus skills in SQL and data visualisation.
- Other info: Work in the office 4 days a week, collaborating with diverse teams.
The predicted salary is between 36000 - 60000 £ per year.
We are looking for a Data Analyst to deliver data driven D2C/digital marketing strategy, goals and KPIs for Home electronics, Home appliances and IT product categories. The Analyst will have an understanding of market conditions, use all or some of these data sources as required to lead the development of the marketing story to help craft D2C/digital strategy for the company product portfolios. The Analyst will collaborate, exchange ideas, and gather requirements from other teams. This role requires to work at the office 4 days a week.
Key Responsibilities
- Manage and update our data processes and automations to ensure they function correctly.
- Work with strategy, demand generation, merchandising and site experience teams to help architect solutions for reporting, monitoring and testing.
- Provide regular business performance updates as well as Ad-Hoc marketing activities campaign performance analysis when requested.
- Maintain and enhance data quality, including ongoing data cleansing processes and standardisation processes where needed.
- Maintain or create data processes documentation as required.
- Perform list uploads, on an ad-hoc basis, ensuring data quality and compliance before loading.
- The Analyst will be comfortable utilising various types of in-house data such as; GA 4 data, Customer data (CRM), Sales data (like Magento or equivalent), Digital Data from Martech platforms – DV360, SA360, GA360.
Qualification & Experience
- B.A (or above) degree level or equivalent qualification or experience.
- 5+ years of experience in data marketing.
- Degree preferably in any of the following areas: statistics, data science, physics, computer science or social sciences.
- Ideally the Analyst will be experienced in the use of google marketing cloud tools, SQL and statistical software (R, python, BigQuery).
- Advanced excel skills and Data visualisation in Tableau or Locker Studio (preferred).
- Strong conceptual, communication (written, verbal, presentation) and collaboration skills.
- Proven ability to plan, develop, and meet deadlines.
- A willingness to invent and learn and not afraid to put an idea into action, measure its success, and apply learnings to future decisions.
Personal Attributes, Behaviours and Competencies:
- Proactive, organised, efficient, detail oriented.
- Excellent skills in time management, coordinating and prioritising of projects, problem solving.
- Ability to balance multiple, competing directions and manage multiple projects successfully.
- Natural ability to build interpersonal relationships and manage conflict.
- Experience with, and strong interest in, the analytical side of marketing as it relates to marketing performance, segmentation and overall database health.
- Proven project management skills with the ability to manage multiple activities and prioritise tasks.
- Excellent oral and written communication skills; including presenting to senior level staff.
Data Analyst employer: LinkedIn
Contact Detail:
LinkedIn Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst
✨Tip Number 1
Familiarise yourself with the specific data tools mentioned in the job description, such as Google Marketing Cloud, SQL, and statistical software like R or Python. Having hands-on experience with these tools will not only boost your confidence but also demonstrate your readiness for the role.
✨Tip Number 2
Showcase your ability to collaborate effectively by preparing examples of past projects where you worked with cross-functional teams. Highlighting your communication skills and teamwork will resonate well with us, as collaboration is key in this role.
✨Tip Number 3
Stay updated on the latest trends in digital marketing and data analytics. Being knowledgeable about current market conditions and emerging technologies will help you engage in meaningful conversations during interviews and show your passion for the field.
✨Tip Number 4
Prepare to discuss how you've managed data quality and cleansing processes in previous roles. Providing concrete examples of how you've maintained data integrity will demonstrate your attention to detail and commitment to excellence, which are crucial for this position.
We think you need these skills to ace Data Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data analysis, digital marketing, and the specific tools mentioned in the job description, such as SQL, Google Marketing Cloud, and Tableau. Use keywords from the job listing to ensure your application stands out.
Craft a Compelling Cover Letter: In your cover letter, explain why you are passionate about data analysis and how your skills align with the company's goals. Mention specific projects or experiences that demonstrate your ability to manage data processes and collaborate with teams.
Showcase Your Technical Skills: Include a section in your application that details your proficiency in statistical software (like R or Python), data visualisation tools, and any relevant certifications. This will help demonstrate your technical capabilities to the hiring team.
Highlight Soft Skills: Since the role requires strong communication and collaboration skills, provide examples of how you've successfully worked in teams or presented findings to stakeholders. This can be included in your CV or cover letter to show you’re a well-rounded candidate.
How to prepare for a job interview at LinkedIn
✨Showcase Your Analytical Skills
Be prepared to discuss your experience with data analysis tools and techniques. Highlight specific projects where you've successfully used SQL, R, or Python to derive insights from data, as this will demonstrate your technical proficiency.
✨Understand the Company’s Products
Familiarise yourself with the company's product categories, such as home electronics and appliances. This knowledge will help you tailor your responses and show that you're genuinely interested in how data can drive their marketing strategies.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving abilities. Prepare examples of how you've managed data processes or improved data quality in previous roles, as this will illustrate your proactive approach and attention to detail.
✨Demonstrate Collaboration Skills
Since the role involves working with various teams, be ready to discuss how you've successfully collaborated in the past. Share examples of how you've gathered requirements or exchanged ideas with colleagues to achieve common goals.
