At a Glance
- Tasks: Lead digital analytics delivery and translate complex data into actionable insights.
- Company: Rapidly growing data consultancy with a supportive and sociable culture.
- Benefits: Competitive salary, flexible working hours, and excellent career progression.
- Other info: Remote work with occasional client visits and a dynamic team environment.
- Why this job: Join a leader in data and AI, making a real impact for clients like Teenage Cancer Trust.
- Qualifications: Experience in analytics, web data, and strong communication skills required.
The predicted salary is between 50000 - 55000 £ per year.
£50,000 - £55,000 + Benefits
Permanent
Remote with occasional client visits
iO are working with an established and rapidly growing Data consultancy who are looking for an experienced Analytics Manager to join them on a permanent basis. With over 20 years of experience, they are a leader in data and AI-enabled connected customer experiences, that specialise in helping organisations get their data and technology future-ready, to win, grow and keep customers. They primarily work with not-for-profit and charities, however are diversifying into the financial and travel sectors with clients such as Teenage Cancer Trust, Tesco Bank and RSPCA.
In this role you will own digital analytics delivery across a client portfolio, working closely with the marketing data analyst covering measurement strategy, attribution, campaign performance and reporting. Client communication and delivery is crucial, and the role translates complex briefs into project work, and analysis into clear, confident recommendations that drive client decisions.
We are looking for experience in:
- Presenting analytical insight to clients or senior stakeholders
- Marketing mix modelling or multi-touch attribution methodologies
- Working with web analytics data for commercial decisioning
- Web analytics platforms such as GA4 or Adobe Analytics
- Tag management systems such as Google Tag Manager
- Programming languages such as SQL, Python and/or R
- Written and verbal communication skills with an ability to make complex analysis understood
The company pride themselves on their great culture - super supportive and very sociable with flexibility to work from home and flexi-hours so you can work around your schedule. With great career progression opportunities, this is a super exciting opportunity, being part of the growth of the company's presence in the UK and Europe.
Interested in hearing more? Please get in touch with Rebecca Long on 0117 332 8100.
Analytics Manager in Slough employer: IO Associates
Join a dynamic and rapidly growing data consultancy that champions a supportive and sociable work culture, offering flexibility with remote work and flexible hours. With a strong focus on employee growth and career progression, this role as an Analytics Manager provides the opportunity to make a significant impact while working with notable clients in the not-for-profit and emerging sectors. Embrace the chance to be part of a forward-thinking team dedicated to transforming data into actionable insights.
StudySmarter Expert Advice🤫
We think this is how you could land Analytics Manager in Slough
✨Get Involved in Data Science Meetups
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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 IO Associates.
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We think you need these skills to ace Analytics Manager in Slough
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 IO Associates, 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 IO Associates. 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 IO Associates
✨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 IO Associates!
✨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.
