At a Glance
- Tasks: Analyse data to support impactful marketing campaigns and deliver actionable insights.
- Company: Join a pioneering company in connected commerce marketing with a focus on growth.
- Benefits: Enjoy a competitive salary, discretionary bonus, wellbeing fund, and flexible working.
- Other info: Dynamic team environment with opportunities for personal and professional growth.
- Why this job: Make a real impact by transforming data into valuable insights for top brands.
- Qualifications: Strong SQL skills and experience with large datasets; Python knowledge is a plus.
The predicted salary is between 40000 - 40000 £ per year.
Location: Hybrid, Nottingham, 2 days per week in the office Salary: From £40,000 + 10% discretionary bonus Level: Senior Executive Level
Who are we?
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.
Time after time, we change the game.
SMG is home to a world‑class suite of commerce advertising capabilities powered by data and cutting‑edge technology.
We constantly push ourselves, our tech and our industry to discover innovative new ways to connect, sell and grow.
About the role
We are looking for a Data Analyst to join our Boots Media Group partnership based in Nottingham.
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.
You will play a key role in querying and analysing data for a top supplier Omnichannel campaigns (a multichannel Test vs Control using Boots Advantage Card data).
You’ll also work in tandem with our Operations team to source data for agencies, supporting them by delivering accurate and quick results.
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.
- Write and optimise SQL queries to extract, manipulate and analyse large datasets.
- Transform raw data into clean, structured datasets ready for campaign evaluation.
- Combine data from multiple sources to produce accurate and reliable insights.
- Act as the main point of contact for agency data requests, managing priorities and delivery timelines.
- Coordinate evaluation requests, ensuring all required information is captured and identifying any missing data or dependencies.
- Analyse omnichannel campaign performance to uncover meaningful insights and answer key business questions.
- Work closely with Data Scientists and internal stakeholders to investigate anomalies and validate results.
- Translate complex data into clear, actionable recommendations that drive better business decisions.
- Produce client‑ready reports and presentations using Excel and Power Point.
- Present campaign findings confidently to clients, explaining insights clearly and responding to questions with confidence.
- Collaborate with Insights, Agency and Boots teams to deliver accurate, timely and commercially valuable campaign measurement.
- What we’re looking for
- Strong working knowledge, able to query, join, and manipulate datasets independently
- Comfortable working with large datasets and structuring outputs for analysis
- Light experience with Python is a plus
- Ability to identify data inconsistencies and gaps
- Able to translate business questions into data outputs clearly
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.
- 10% discretionary bonus
- £1,800 yearly wellbeing fund (on top of your salary!)
- Free Headspace subscription
- £500 yearly “Uni Fund” for learning
- 4 extra Wellbeing Days off per year
- Summer & Winter conferences + year‑round celebrations
- 4pm finishes every Friday
- Flexible and hybrid working
Explore all our benefits here.
- Useful Links Before You Apply
- Learn about our agencies
- Our values
- Our hiring process
- EDI at SMG
- FAQs
Our full data retention policy can be found here.
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Data Analyst in Nottingham employer: SMG
At SMG, we pride ourselves on being an excellent employer by offering a supportive work culture that values your skills and contributions. With flexible scheduling and the opportunity to make a real difference in the community through our partnerships with local housing charities, you will find meaningful and rewarding employment while enjoying opportunities for personal and professional growth in Gloucester.
StudySmarter Expert Advice🤫
We think this is how you could land Data Analyst in Nottingham
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We think you need these skills to ace Data Analyst in Nottingham
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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Craft a Tailored Cover Letter:For a full-time role at SMG, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at SMG. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at SMG
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at SMG!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
