At a Glance
- Tasks: Transform CRM data into actionable insights and build AI-assisted analytics workflows.
- Company: Dynamic company in London with a focus on innovation and data-driven solutions.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Other info: Join a forward-thinking team that values modern practices and data governance.
- Why this job: Be at the forefront of data analytics and make a real impact with your skills.
- Qualifications: Experience in data analytics, SQL, and a passion for using AI responsibly.
The predicted salary is between 45000 - 55000 £ per year.
My client is looking for a Data Analytics Specialist to work hybrid from their office in London. You will own how my client turns CRM data into something clients can act on. Day to day, that means working across client CRM and campaign datasets, building the models and pipelines that aggregate behavioural and campaign data, and answering the questions the account and strategy teams cannot get from a dashboard alone.
You will use AI to move faster; drafting and checking SQL, summarising large datasets, and surfacing patterns, while setting the rules for doing all of that safely with client data. This is a role that sets the standard rather than follows one. You will bring modern practice into how they work: a warehouse-first approach, version-controlled and tested transformations, and AI-assisted workflows the rest of the team can pick up and trust.
Where AI speeds the work up, you decide where it helps and where it must not go near client PII, and you make those guardrails real rather than theoretical. Success in the first 6 months looks like reporting the teams trust, at least 2 AI-assisted analytics workflows other people actually adopt, and a clear, documented data governance standard across client workspaces.
Key ResponsibilitiesData Analytics Specialist employer: MarkIT Placements
As a Data Analytics Specialist at our London office, you will thrive in a dynamic and innovative work culture that prioritises employee growth and collaboration. We offer a hybrid working model, competitive benefits, and the opportunity to lead the way in modern data practices while utilising cutting-edge AI technologies. Join us to make a meaningful impact on client success and develop your skills in a supportive environment that values your contributions.
StudySmarter Expert Advice🤫
We think this is how you could land Data Analytics Specialist
✨Tip Number 1
Network like a pro! Reach out to people in the industry on LinkedIn or at local meetups. We can’t stress enough how important it is to make connections; you never know who might have the inside scoop on job openings.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data analytics projects. We recommend including examples of how you've turned complex datasets into actionable insights. This will help you stand out when you apply through our website.
✨Tip Number 3
Prepare for interviews by practising common data analytics questions. We suggest running through scenarios where you explain your thought process in building models or handling client data. Confidence is key!
✨Tip Number 4
Follow up after interviews! A quick thank-you email can go a long way. We believe it shows your enthusiasm for the role and keeps you fresh in their minds as they make their decision.
We think you need these skills to ace Data Analytics Specialist
Some tips for your application 🫡
Show Your Data Passion:When you're writing your application, let your enthusiasm for data analytics shine through! We want to see how you’ve turned data into actionable insights in the past. Share specific examples that highlight your skills and experience.
Tailor Your CV:Make sure your CV is tailored to the Data Analytics Specialist role. Highlight relevant experiences, especially those involving CRM data and AI tools. We love seeing how you've set standards in your previous roles, so don’t hold back!
Be Clear and Concise:Keep your application clear and to the point. We appreciate straightforward communication, so avoid jargon unless it’s necessary. Make it easy for us to see why you’re a great fit for the role without wading through fluff.
Apply Through Our Website:Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen on joining our team at StudySmarter!
How to prepare for a job interview at MarkIT Placements
✨Know Your Data Inside Out
Before the interview, dive deep into the types of CRM data and campaign datasets you’ll be working with. Familiarise yourself with common data models and analytics techniques. This will not only help you answer technical questions but also show your passion for data analytics.
✨Showcase Your AI Savvy
Since the role involves using AI to enhance workflows, be prepared to discuss your experience with AI tools and how you've used them in past projects. Bring examples of how you've drafted SQL queries or summarised large datasets, and be ready to explain your thought process.
✨Demonstrate Your Problem-Solving Skills
Think of specific challenges you've faced in previous roles where you had to derive insights from complex data. Prepare to share these stories during the interview, focusing on how you approached the problem, the solutions you implemented, and the impact it had on your team or clients.
✨Understand Data Governance
Since the role requires setting standards for data governance, brush up on best practices for handling client PII and data security. Be ready to discuss how you would implement these practices in your work and why they are crucial for maintaining client trust.
