At a Glance
- Tasks: Lead data analytics to transform insights into actionable strategies across the business.
- Company: PE-backed B2B services leader based in Greater Manchester.
- Benefits: Salary up to £95,000, hybrid work, 25 days leave, and a comprehensive benefits package.
- Other info: Join a fast-paced team with opportunities for growth and innovation.
- Why this job: Make a real impact by driving data-led decisions in a dynamic environment.
- Qualifications: 8+ years in data roles, SQL proficiency, and strong leadership skills.
The predicted salary is between 85000 - 95000 £ per year.
As the Head of Data Analytics, you'll lead the charge in turning data into actionable insights across the business. This role reports into an experienced Chief Marketing Officer and will be pivotal in transforming the commercial team into a data-led engine.
Client Details
Our client is a PE-backed B2B services company with offices accessible from Greater Manchester. Offering a variety of FM and maintenance services, they are a market leader in their industry.
Description
The key responsibilities for the Head of Data Analytics will include:
- Develop and implement data analytics strategies to support marketing initiatives.
- Lead a team of analysts to deliver actionable insights and reports.
- Partner with teams in marketing, sales, operations, and technology teams to translate data and insights into actionable strategy.
- Generate reports that help to drive ROI.
- Act as Data Champion for the business - driving adoption of BI tools across teams.
- Oversee data collection, cleansing, and analysis processes.
- Ensure compliance with data privacy and security regulations.
- Evaluate and improve current analytics tools and methodologies.
- Present findings and recommendations to senior stakeholders.
Profile
A successful Head of Data Analytics should have:
- 8+ years experience in a data and/or analytics focused role.
- Proficiency in SQL.
- 5+ years experience in a lead generation focused commercial role.
- Ability to work in a fast-paced, target driven environment.
- Team leadership experience.
- Exposure to working in a PE-backed environment is highly advantageous.
- Strong expertise in data analysis, interpretation, and presentation.
- Hands-on experience using Power BI.
- Experience utilising automation platforms would be advantageous, including Salesforce, Dynamics or Hubspot.
- Exceptional stakeholder management skills.
- Knowledge of data privacy and security regulations.
- The ability to communicate insights clearly to non-technical stakeholders.
Job Offer
On offer for the successful Head of Data Analytics:
- Salary ranging from £85,000 - £95,000 + bonus package.
- Hybrid working arrangement for added flexibility.
- 25 days annual leave + bank holidays.
- Broader benefits package - details on request.
Head of Data Analytics employer: Michael Page
At Michael Page, we pride ourselves on being an excellent employer that champions community impact through our Social Value Lead role. Our supportive work culture fosters collaboration and innovation, providing employees with ample opportunities for professional growth while making a meaningful difference in the property industry. Located in a vibrant area, we offer competitive salaries and a commitment to employee well-being, ensuring that you thrive both personally and professionally.
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We think this is how you could land Head of Data Analytics
✨Get Involved in Data Science Meetups
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We think you need these skills to ace Head of Data Analytics
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 Michael Page, 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 Michael Page. 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 Michael Page
✨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 Michael Page!
✨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.
