At a Glance
- Tasks: Lead a team to analyse data and drive marketing strategies for millions of customers.
- Company: Join Sainsbury’s, a leader in retail with a focus on innovation and customer loyalty.
- Benefits: Enjoy discounts, flexible working, and a performance-related bonus up to 20% of salary.
- Other info: Be part of a dynamic team with opportunities for growth and development.
- Why this job: Make a real impact using data to shape the future of retail and customer engagement.
- Qualifications: Experience in analytics, marketing, and strong programming skills in Python, SQL, or R.
The predicted salary is between 55000 - 65000 £ per year.
Description
We’re a business serving millions of customers a day, with the UK’s largest loyalty scheme and an ever-evolving set of digital platforms.
All this equals over 1.2 billion transactions a year, presenting a volume, depth, and complexity of data that few can match.
As a data rich organisation we operate a highly personalised and extensive multi-channel marketing programme across digital, in-store and at home and with our Marketing colleagues are accountable for driving business sales, profit and market share.
We identify when customers are at risk of churning and re-ignite their loyalty to the business before they lapse from us.
We grow sales from individual customers both to support key categories, but also the business’s overall sales line.
We drive additional visits, more items in the basket, and use of more of our multiple channels and propositions by our customers.
Making proper use of our data is essential to every aspect of all our programmes.
Digital Marketing & CRM Analytics focus on acquiring and securing Sainsbury’s customers through the efficient use of digital paid media channels and driving deeper engagement with Sainsbury’s through Digital Propositions CRM programs.
The common goal is to ensure that this significant marketing investment is managed prudently and drives ROI.
The Analytics Manager will be themselves an exceptional analyst and will lead their team to carry out our most complex modelling, forecasting, tool building, and insights-generation in-house, using agile working methodologies to make sure we’re delivering the right priorities.
What outcomes I need to deliver
You will lead an agile, high calibre team of Marketing Analysts (both on and off-shore) and be responsible for delivering forecasting, targeting, post campaign analysis and optimisation across digital marketing and digital proposition campaigns.
- Influence Digital and CRM Marketing stakeholders in developing channel and proposition strategies and annual plans – defining the central role for customer, data and analytics.
- Continually seek new and improved methods of assessing our activity to ensure that we are as confident as possible that we are driving greater customer value and the greatest return on investment.
- Work closely with Data Science and Marketing colleagues to help develop new programmes and evolve existing campaigns.
Apply knowledge of analytical and statistical techniques, software and data sources to develop models of customer behaviour as foundations for these campaigns and to inform this collaboration.
- Work with Technology and Marketing teams to ensure the emerging Mar Tech strategy meets the ambitions of our CRM and Digital Marketing aspirations.
- Lead the migration of Food Digital Propositions CRM reporting to Power BI ensuring Marketing and Finance stakeholders can self-serve all relevant campaign analysis from a consolidated suite of dashboards.
- Build, lead, develop and motivate a high performing team of analysts. Work with Accenture leadership team to optimise the shape and impact of our offshore capability.
- You will lead and uphold the development and standards of your team and their outputs, enabling individuals to reach their full potential.
- You will be an ambassador for Analytics best practise, including ethics, governance, security, and assurance.
- What you need to know and show
- An inquisitive mind, constantly seeking opportunities and solving problems with curiosity.
- A strong quantitative academic background likely to consist of a university degree (e. g. statistics, mathematics, physics, machine learning, engineering)
- Experience of Marketing Campaign design and analysis and/or Insights is essential, working with customer data to find key insight and drive business change
- You excel in managing experienced teams, elevating their performance by coaching and upskilling them in analytics techniques, and supporting them through the analytics life cycle.
- Demonstrate a strong commitment to agile working practises in order to deliver maximum value from the team through rigorous prioritisation and workstack management
- A strong commitment to accuracy and rigour in the analysis produced within the team
- Extensive programming ability across Python, R and SQL, with a proven experience of analysing data in a corporate environment.
A strong understanding of coding efficiency and best practice and an ability to install this in the wider team.
- A track record of developing powerful data visualisation products which clearly articulate topline performance as well as enabling drill down to understand the drivers.
- Identify opportunities for automation, minimising repetitive tasks and tailoring the analytical and reporting tools available, and/or investigating new options to deliver the required output
- A strong customer mindset, ensuring customer outcomes are integrated into broader Analytics projects.
- High level understanding of data architecture/governance in relation to Direct Marketing and knowledge of the Marketing Technology landscape
- Curiosity, scepticism and attention to detail regarding data, data quality, samples, bias, etc
- Resources available to me
- A brilliant team of Leads, Analysts and associate Analysts.
- The full spectrum of Customer Data collected across our brands from transactions, digital interactions, surveys, demographics and more.
- Access to a wide range of tools and technologies, primarily Snowflake, Python and AWS/Azure Cloud platform.
- You'll benefit from a fully committed and supportive leadership team and the power of the newly formed Data & Analytics function, along with highly engaged stakeholders.
- Access to Data and Technology teams to progress outcomes, tools requirements and capabilities.
- What decisions can I make
- How best to target and measure Food Digital Propositions CRM and Digital Marketing activity
- How to tell the story of the analysis, its impact and the business transformation required
- Influence CRM and Digital marketing transformation including Mar Tech strategy
- How to recruit, develop, train, and unify your team
- How to drive analytics excellence into the areas you work with
- How to remove blockers to ensure your team delivers on outcomes and continuously improves
Essential Criteria
- Experience leading and developing analytics teams, including coaching, performance management and building analytical capability.
- Strong experience in marketing, CRM or customer analytics, including campaign design, targeting, measurement, post-campaign analysis and insight generation using customer data.
- Advanced hands-on experience using Python, SQL and/or R to analyse large and complex datasets in a commercial environment.
- Experience applying statistical analysis, forecasting and modelling techniques to solve business problems and improve marketing performance.
- Experience leading analytical delivery in an agile environment, including prioritisation and management of multiple workstreams and stakeholders.
- Experience developing data visualisation and reporting solutions (for example Power BI dashboards) that enable stakeholders to interpret performance and make data-driven decisions.
- #Data And Analytics
- #Analytics
- #LI-CM1
Responsibilities
At Sainsbury’s, data sits at the heart of how we operate, innovate and serve our customers.
Our Data & Analytics team is building a technically advanced, commercially focused and impactful capability, powering our Next Level Strategy and helping to create a Sainsbury’s powered by industry leading AI algorithms.
We use data, technology and advanced analytics to drive better decisions across the business, from forecasting and optimisation to experimentation, personalisation and machine learning.
With one of the richest retail datasets I n the UK and a portfolio spanning Sainsbury’s, Argos, Habitat and Nectar, the opportunity to innovate is huge.
Here, you’ll tackle complex challenges at scale, create measurable impact and grow quickly alongside brilliant colleagues.
People who thrive with us combine business understanding, technical expertise and curiosity, with a natural instinct for problem-solving.
Join us and help shape the future of retail through data and AI.
Qualifications
"We are committed to being a truly inclusive retailer, so you’ll be welcomed whoever you are and wherever you work.
Around here, there’s always the chance to try something new - whether that’s as part of an evolving team or somewhere else across the business - and we take development seriously and promise to support you.
We also recognise and celebrate colleagues when they go the extra mile and, where possible, offer flexible working.
When you join our team, we’ll also offer you an amazing range of benefits.
Here are some of them
Starting off with colleague discount, you'll be able to get 10% off at Sainsbury's, Argos, TU and Habitat after 4 weeks.
This increases to 15% off at Sainsbury’s every Friday and Saturday and 15% off at Argos every pay day.
We've also got you covered for your future with our pensions scheme and life cover.
You'll also be able to share in our success as you may be eligible for a performance-related bonus of up to 20% of salary, depending on how we perform.
Your wellbeing is important to us too.
You'll receive an annual holiday allowance, and you can buy additional holiday.
We also offer other benefits that will help your money go further such as season ticket loans, interest free car loan of up to £10k, cycle to work scheme, health cash plans, pay advance (where you can access some of your pay before pay day) as well access to a great range of discounts from hundreds of other retailers.
And if you ever need it there is also an Employee Assistance Programme, you will also be eligible for private healthcare too.
Moments that matter are as important to us as they are to you which is why we give up to 26 weeks’ pay for maternity or adoption leave and up to 4 weeks’ pay for paternity leave.
Please see www. sainsburys. jobs for a range of our benefits (note, length of service and eligibility criteria may apply)."
Analytics Manager, DMCA in London employer: Sainsbury's
Sainsbury's is an excellent employer for those passionate about fashion and design, offering a vibrant work culture that fosters creativity and collaboration. With opportunities for professional growth and mentorship within a dynamic team, employees can thrive while contributing to innovative womenswear collections that resonate with customers. Located in a supportive environment, Sainsbury's prioritises employee well-being and development, making it a rewarding place to build a career in the fashion industry.
StudySmarter Expert Advice🤫
We think this is how you could land Analytics Manager, DMCA in London
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Sainsbury's!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Analytics Manager, DMCA at Sainsbury's.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Sainsbury's.
✨Apply Directly through Our Website
When you find a suitable opening like Analytics Manager, DMCA at Sainsbury's, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Analytics Manager, DMCA in London
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!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Sainsbury's, 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 Sainsbury's. 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 Sainsbury's
✨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 Sainsbury's!
✨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.