At a Glance
- Tasks: Support campaign evaluations and ensure data accuracy for impactful marketing insights.
- Company: Join a pioneering connected commerce marketing agency with a vibrant culture.
- Benefits: Competitive salary, wellbeing allowance, bonuses, flexible working, and extra days off.
- Other info: Embrace change in a fast-paced environment with excellent career development opportunities.
- Why this job: Be part of a dynamic team driving innovative marketing solutions and personal growth.
- Qualifications: Comfortable with large datasets and strong attention to detail.
The predicted salary is between 40500 - 49500 £ per year.
Location: This role can be based on a hybrid basis from any of these offices: Nottingham, Leeds, Manchester or London.
Salary: £24,785 (plus £1,800 annual wellbeing allowance + up to 10% bonus).
Who we are: We’re the original pioneers in connected commerce marketing. Since 2008, we’ve been partnering with major retailers, powering global brands, and building meaningful connections with shoppers. We simplify the mind-boggling complexity of today’s retail media landscape. We deliver impactful campaigns that connect with people where it matters. We create seamless and personalised shopping experiences. Above all, we deliver amazing results for our partners, driven by our unshakeable desire for growth.
About the role: We are looking for a Data Assistant to join our agency partnership with Boots Media Group. This role sits within the Insights team and is focused on ensuring data is accurate, accessible, and ready for analysis to support campaign evaluation and client delivery. Working closely with both Insights, Agency and Boots teams, you will have a comprehensive view of our campaign effectiveness workstream, whilst being able to analyse the data deeply and present back to clients.
What you’ll do:
- Run and support campaign evaluations across in-store, digital, and e-commerce activity.
- Ensure evaluations are delivered accurately and within agreed timelines.
- Analyse and collate evaluation outputs for reporting purposes.
- Escalate risks, missing information, or delivery challenges proactively.
- Maintain strong attention to detail across all data handling tasks.
- Help maintain data cleanliness and consistency across internal platforms.
- Follow agreed processes and documentation standards.
What you'll bring:
- Comfortable working with large datasets and structuring outputs for analysis.
- Able to identify data inconsistencies and gaps.
- Able to translate business questions into data outputs clearly.
- Able to work with multiple stakeholders across different teams.
- Comfortable working in a fast-paced environment with evolving priorities.
We're looking for people who enjoy the buzz of change, the satisfaction of building something better, and the joy of working with a close-knit, values-driven team. If you love variety, thrive in a fast-paced environment, and embrace change with energy, this could be your right role. Don’t meet every single requirement? We still want to hear from you. If you believe you’d thrive in this role, your unique perspective might be just what we’re looking for.
Why SMG? At SMG, we hire for the future, which is fast-moving and changing shape. Do you have the potential to help shape our business? We’re looking for brilliant, diverse talent who want to grow with us - people who are curious, ambitious, and eager to learn, whether as specialists or across teams. We value those who take ownership of their growth and bring fresh perspectives. That’s why we’re committed to equity, inclusion, and building a place where everyone feels empowered to grow. At SMG, it’s not just about filling a role but building the future together.
Benefits include:
- Free Headspace subscription
- £500 yearly “Uni Fund” for learning
- 4 extra Wellbeing Days off per year
- Annual Summer conference + year-round celebrations
- 4pm finishes every Friday
- Flexible and hybrid working
Explore all our benefits here.
Data Assistant (6 month FTC) in London employer: SMG
At SMG, we pride ourselves on being a forward-thinking employer that champions growth and innovation in the dynamic world of influencer marketing. Located in Nottingham, our vibrant work culture fosters collaboration and creativity, offering employees unique benefits such as a £1,800 yearly wellbeing fund, flexible working arrangements, and opportunities for professional development. Join us to be part of a close-knit team that values diversity, encourages fresh perspectives, and empowers you to take ownership of your career while making meaningful contributions to the future of retail media.
StudySmarter Expert Advice🤫
We think this is how you could land Data Assistant (6 month FTC) in London
✨Tap into Online Data Science Communities
Join online communities focused on data science like Kaggle, LinkedIn groups, or Reddit threads. These are goldmines for temporary gigs, as you can network with professionals and potentially hear about opportunities at companies like SMG before they're even advertised!
✨Show Off Your Skills With Projects
Got some cool data science projects? Showcase them on platforms like GitHub or create a personal portfolio website. This visibility is crucial for landing temporary roles—let recruiters see your actual skills in action, which can set you apart from the crowd.
✨Check Out Specialist Job Boards
For temp roles, hit up job boards dedicated to tech and data science, like Stack Overflow Jobs or DataJobs. These platforms often feature openings that you won’t find on general job sites, including contracts with companies like SMG.
✨Leverage University Resources
If you're currently at uni or recently graduated, tap into your school's career services. They often have connections with companies looking for temporary data science interns or contract workers, and they might even host job fairs with employers like SMG.
We think you need these skills to ace Data Assistant (6 month FTC) in London
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at SMG, make sure to showcase any relevant projects you've worked on. Whether it's a personal project, an academic undertaking, or contributions to an open-source initiative, detailing these experiences can really set you apart and demonstrate your practical skills.
Emphasise Your Analytical Skills:In your CV and cover letter, focus on the specific analytical skills that are key to data science. Mention any experience with statistical tools, programming languages like Python or R, and data visualisation software. Don't forget to include any certifications that may bolster your expertise!
Show Your Flexibility:Since this is a temporary role, it's important to convey your adaptability and willingness to learn. In your cover letter to SMG, emphasise how quickly you can get up to speed with new tools or projects. Highlight any previous experiences where you've had to adjust to new environments or challenges.
Craft a Unique Data-Driven Cover Letter:Instead of the usual generic cover letter, spice it up with some data! Maybe you’ve improved a process by 20% in a past role or cleaned a dataset with over a million entries. Use these stats to your advantage to grab SMG’s attention and show the tangible impact of your work.
How to prepare for a job interview at SMG
✨Showcase Your Analytical Skills
For a data science gig, it's crucial to demonstrate your analytical abilities. Be ready to discuss previous projects and the methodologies you used. Think about how you can quantify your impact—did your analysis improve efficiency or save costs? These are the stories that will stick with interviewers at SMG.
✨Brush Up on Technical Skills
You might face technical questions on tools relevant to data science, like Python, R, or SQL. Prepare to solve a problem live—perhaps they'll ask you to write a simple query or code snippet. It’s cool to talk about them, but we need to show we can do it in practice, especially in a temporary role where quick results matter.
✨Highlight Your Adaptability
Since this is a temporary position, emphasise your ability to learn quickly and adapt to new tools or workflows. Share examples of how you've thrived in fast-paced environments before, and how you can hit the ground running at SMG.
✨Prepare a Portfolio of Your Work
Bring your portfolio to the table—showcase projects where you've leveraged data science techniques to solve problems. Whether it’s a GitHub repository or a set of case studies, having tangible examples of your work will help you stand out and show what you bring to the team at SMG.
