At a Glance
- Tasks: Analyse data and create insightful reports to drive business decisions.
- Company: Join a supportive team at Davies, where people are valued and collaboration thrives.
- Benefits: Enjoy 25 days holiday, discounts at 800+ retailers, and professional development opportunities.
- Other info: Flexible working options and a commitment to employee wellbeing and growth.
- Why this job: Make a real impact with your analytical skills in a dynamic and innovative environment.
- Qualifications: 3 years of data experience, strong analytical skills, and proficiency in SQL and Power BI.
The predicted salary is between 35000 - 45000 £ per year.
At Davies, people are at the heart of all we do. Our values state that we succeed together, and it is this that makes the business a great place to work! You will be valued and supported and receive excellent benefits including but not limited to:
- Reward platform – discounts for over 800 retailers
- 25 days holiday (rising with service plus option to purchase up to 5 extra days a year!)
- Development, training, and professional qualifications
The MI Data Analyst will be responsible for creating and distributing Management Information alongside Operational Reporting requirements for TMS. They will produce key analysis needed to build appropriate solutions and will be able to work with Clients, Client Account Managers, and Senior Managers. You must be able to work within an agile team and manage your time effectively. You must be self-motivated, enthusiastic, and have a natural thirst for exploring new technologies.
Due to the nature of this position, this role requires candidates to be a sole British National or dual national with one part being British, with no restrictions on working in the UK. Due to the national security requirements of this position, candidates must hold British Citizenship to be eligible to apply.
What will your day look like:
- Understand, interpret, and translate data.
- Liaise with appropriate stakeholders to ensure that the solutions provided are fit for purpose at point of delivery and throughout the solutions life.
- Investigate data integrity issues and liaise with the relevant area for resolution.
- Build strong working relationships with stakeholders.
Knowledge and Abilities:
- Must have a minimum of 3 years’ experience.
- Strong understanding of data and the way data is used within the Davies business.
- Strong analytical skills with a keen eye for detail.
- Previous experience in a data role, preferably with SQL and Power BI.
- The ability to understand, interpret, and translate data.
Required Soft Skills:
- Be self-motivated with a strong work ethic that can work with limited supervision.
- Ability to adapt to a rapidly changing environment, think ‘on their feet’, and learn quickly.
- Excellent communication and interpersonal skills, calm under pressure & sound judgement in complex situations.
- Co-operative, collaborative, and work toward common goals with others.
- Open and inclusive approach, willing and able to interact internally and externally at all levels within the company.
- Excellent verbal and written communication skills with the ability to articulate complex ideas in a clear and concise manner.
- Ability to work under pressure and prioritise effectively, working on multiple tasks at the same time.
- Competent user of IT with good working knowledge of Microsoft packages and confident in embracing new technology.
- Organised, proactive, and confident self-starter.
- Highly committed attitude.
- Methodical and accurate, showing great attention to detail.
- Demonstrate teamwork - Contributes actively to an environment in which colleagues work cooperatively with each other.
Benefits:
- Career & Purpose
- Davies Innovation Lab
- Leadership training programme
- Funding for professional qualifications
- Thrive at Davies; learning opportunities
- Environmental & Social
- The Davies Foundation
- Local charity funding
- Pennies To Heaven
- Employee Resource Groups
- Employee volunteering programme
- Financial Health
- Pension, 5% employee and 5% employer contribution
- My Choices at Davies provides; High Street discounts and Financial wellbeing hub
- Life assurance: x4
- Refer a Friend
- Cycle to Work Scheme
- Lease car salary sacrifice
- Davies Incentive Plan
- Enhanced maternity, paternity, and adoption pay
- Mental, Physical & Emotional Wellbeing
- Wellbeing centre; move, munch, money & mind focus
- Discounts with 100's of UK retailers
- EAP; 24/7 confidential helpline
- 25 days holiday, increases to 26 days after 5 years and 27 after 10 years
- Flexible working
- Dress for your day
- Inclusive employment policies eg. Menopause, fostering friendly, fertility, sabbatical policy and baby loss and miscarriage
- Flexible benefits include; holiday purchase plan and an opportunity to purchase health cash plan and BUPA dental plan
MI Analyst in Home employer: Davies
Davies is an excellent employer, offering a vibrant work culture in Glasgow that fosters professional growth and development for its employees. With a focus on collaboration and innovation, the company provides comprehensive training and mentorship opportunities, ensuring that you can thrive in your role as a Senior Paralegal. Additionally, the dynamic legal environment allows for meaningful contributions to motor litigation cases, making your work both rewarding and impactful.
StudySmarter Expert Advice🤫
We think this is how you could land MI Analyst in Home
✨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 Davies!
✨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 MI Analyst at Davies.
✨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 Davies.
✨Apply Directly through Our Website
When you find a suitable opening like MI Analyst at Davies, 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 MI Analyst in Home
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 Davies, 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 Davies. 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 Davies
✨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 Davies!
✨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.
