At a Glance
- Tasks: Lead impactful data analysis projects to drive business performance and strategic decisions.
- Company: Emeria UK, a leader in residential real estate services.
- Benefits: Competitive salary, extensive benefits, and support for professional development.
- Other info: Join a diverse team with opportunities for mentorship and career growth.
- Why this job: Make a real impact with data insights while working with senior leaders.
- Qualifications: 5+ years in Data Analytics, strong SQL and Power BI skills required.
The predicted salary is between 40000 - 50000 £ per year.
Emeria UK operates in the residential real estate sector through its operating brands of First Port, Innovus, Knight Square and Campions.
As the Senior Data Analyst you will be contributing to Emeria’s vision to be the leader of residential real estate services in the UK & Ireland
The Role
We are seeking a Senior Data Analyst to lead high-impact analytical initiatives that drive business performance and support strategic decision-making across the organisation.
Working closely with Directors and the Chief Operating Officer, you will deliver actionable insights, lead analytical projects, and champion best practice in data analysis.
The role's initial focus will be on lead generation effectiveness and marketing channel ROI, establishing robust analytical frameworks that optimise investment decisions and improve business outcomes.
You will also provide technical mentorship to analysts within the team and help elevate analytical capability across the wider Data & Analytics function.
- Key Accountabilities
- Lead analytical projects from problem definition through to delivery, beginning with lead generation effectiveness and marketing ROI initiatives.
- Partner with senior stakeholders to apply structured analytical approaches, including Root Cause Analysis (RCA), Funnel Analysis, and KPI Framework Design, to solve complex business problems.
- Develop and maintain dashboards, reports, and analytical assets using SQL, Power BI and modern analytics platforms.
- Apply analytical techniques such as Customer Lifetime Value (CLV) modelling, segmentation, and performance measurement to identify growth and optimisation opportunities.
- Provide technical mentorship, peer review, and analytical best practice guidance to analysts within the team.
Person Specification
Experience
- Minimum 5 years' experience in Data Analytics, Business Intelligence, or a related field.
- Significant experience presenting insights, recommendations, and business cases to senior stakeholders at Director, COO, or equivalent level.
- Proven track record leading analytical projects that have delivered measurable commercial or operational outcomes.
- Demonstrable experience applying analytical frameworks such as Root Cause Analysis, Funnel Analysis, KPI and Metric Framework Design, and Customer Lifetime Value modelling.
- Experience mentoring analysts and contributing to the development of analytical capability within a team environment.
- Technical Skills
- Strong Power BI development and data visualisation capabilities.
- Advanced SQL skills, including writing, optimising, and troubleshooting complex queries.
- Experience using Python for data preparation, analysis, automation, and statistical modelling.
- Experience working with modern analytics and data platforms.
- Working knowledge of R would be advantageous.
Qualifications
- Professional certifications in Data Science, Analytics, Statistics, or related disciplines would be beneficial.
- Evidence of continuous professional development within analytics, data, and emerging technologies.
- The Benefits
Our customers deserve the best and the same applies to our people.
We’ll support you with all of the technology, training and support that you need to do your job well.
We offer competitive salaries and a range of benefit packages.
In addition to the core benefits, we also offer a range of exclusive discounts on extra benefits to help you and your family make the most of your money, safeguard your future and look after your health.
Diversity
We’re committed to promoting diversity at Emeria and recruit on merit. We will consider applications from job share applicants.
#J-18808-Ljbffr
Senior Data Analyst employer: Mainstay
Join our team as an HGV Class 1 driver in Minworth, where we prioritise a supportive work culture and offer flexible part-time shifts that fit your lifestyle. Enjoy competitive pay rates and the assurance of clean, straightforward work with no handball involved, allowing you to focus on what you do best. We are committed to your growth and development, providing opportunities for advancement within a thriving environment.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Analyst
✨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 Mainstay!
✨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 Senior Data Analyst at Mainstay.
✨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 Mainstay.
✨Apply Directly through Our Website
When you find a suitable opening like Senior Data Analyst at Mainstay, 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 Senior Data Analyst
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 Mainstay, 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 Mainstay. 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 Mainstay
✨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 Mainstay!
✨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.
