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For Companies At a Glance
- Tasks: Lead forecasting and performance reporting for multi-channel marketing campaigns.
- Company: Join a dynamic marketing agency in London with a focus on innovation.
- Benefits: Enjoy hybrid working, a 4-day week, and potential for permanent placement.
- Why this job: Be part of a data-first culture and make impactful decisions in marketing.
- Qualifications: 5+ years in marketing analytics; degree in Maths, Statistics, or related field.
- Other info: Opportunity to mentor junior analysts and work with cutting-edge tools.
The predicted salary is between 32000 - 40000 £ per year.
An exciting marketing agency in London is looking for a Data Analyst to lead forecasting and performance reporting across multi-channel marketing campaigns.
Based in London, this is a hybrid working role for 3 months initially, with a view to go permanent. The start date is ASAP and it is a 4-day per week role with a salary of £40,000 - £50,000 pro rata.
The Job
- Designing and implementing forecasting and performance measurement frameworks.
- Setting KPIs and performance benchmarks aligned to business goals and marketing budgets.
- Using time series analysis and regression modelling to support accurate forecasting and optimise channel mix.
- Translating data into actionable insight and presenting findings to internal and client stakeholders.
- Supporting campaign leads with post-campaign evaluations and optimisation recommendations.
- Developing dashboards and reports using Power BI, Looker Studio, and other visualisation tools.
- Championing a data-first culture across teams and mentoring junior analysts.
- Staying up to date with trends in marketing analytics and campaign measurement.
You
- 5+ years' experience in marketing analytics or performance measurement, ideally in an agency environment.
- Advanced knowledge of regression models, predictive analytics, and time series forecasting.
- Proficient in SQL, Excel (including Power Query and PivotTables), and either Python or R.
- Skilled in dashboard development using tools like Power BI and Looker Studio.
- Strong understanding of CRM, digital, web, and social campaign metrics.
- Comfortable presenting insights to senior stakeholders and cross-functional teams.
- Highly organised, confident juggling multiple priorities in a fast-paced setting.
- A collaborative mindset with the ability to turn complex data into clear strategic direction.
- Degree in a quantitative field such as Maths, Statistics, Data Science, or Economics.
- Certifications in analytics tools (e.g. GA4, Power BI, Tableau) are a plus.
Apply Now: You can apply for the Data Analyst position now by sending us your CV or by calling us today! Don't forget to register as a candidate too.
Amy Brown, Executive Consultant
Sphere Digital Recruitment currently has a variety of job opportunities across digital, so feel free to get in touch with us to find out how we can help you.
Sphere is an equal opportunities employer. We encourage applications regardless of ethnic origin, race, religious beliefs, age, disability, gender or sexual orientation, and any other protected status as required by applicable law.
Sphere Digital Recruitment is acting as an Employment Business in relation to this vacancy.
Contract - Marketing Data Analyst - 3 Months employer: Sphere Digital Recruitment Group
Contact Detail:
Sphere Digital Recruitment Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Contract - Marketing Data Analyst - 3 Months
✨Tip Number 1
Familiarise yourself with the latest trends in marketing analytics. This will not only help you understand the current landscape but also allow you to speak confidently about how you can contribute to our data-first culture.
✨Tip Number 2
Brush up on your SQL and Excel skills, especially Power Query and PivotTables. Being able to demonstrate your proficiency in these tools during discussions will set you apart from other candidates.
✨Tip Number 3
Prepare to discuss specific examples of how you've used regression models and predictive analytics in past roles. Real-world applications of your skills will resonate well with us.
✨Tip Number 4
Think about how you can present complex data insights clearly to stakeholders. Practising this skill will be crucial, as you'll need to communicate effectively across teams and with clients.
We think you need these skills to ace Contract - Marketing Data Analyst - 3 Months
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in marketing analytics, performance measurement, and any specific tools mentioned in the job description, such as SQL, Power BI, or Python. Use keywords from the job listing to align your skills with their requirements.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data analysis and marketing. Mention specific projects where you've successfully used forecasting and performance measurement frameworks, and how you can contribute to their team.
Showcase Your Technical Skills: In your application, emphasise your proficiency in SQL, Excel, and any programming languages like Python or R. Provide examples of how you've used these skills in previous roles, especially in developing dashboards or conducting regression analysis.
Prepare for Potential Interviews: Anticipate questions related to your experience with multi-channel marketing campaigns and how you've translated data into actionable insights. Be ready to discuss your approach to setting KPIs and performance benchmarks, as well as your experience mentoring junior analysts.
How to prepare for a job interview at Sphere Digital Recruitment Group
✨Showcase Your Analytical Skills
Be prepared to discuss your experience with regression models and predictive analytics. Bring examples of how you've used these skills in past roles, especially in an agency environment, to demonstrate your capability.
✨Familiarise Yourself with Tools
Make sure you are comfortable discussing your proficiency in SQL, Excel, and dashboard development tools like Power BI and Looker Studio. You might be asked to explain how you've used these tools to create reports or visualisations.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving abilities. Think of scenarios where you had to optimise a marketing campaign based on data insights and be ready to explain your thought process and the outcomes.
✨Communicate Clearly
Since you'll be presenting findings to stakeholders, practice explaining complex data in simple terms. Be ready to showcase your ability to translate data into actionable insights that align with business goals.
