Data Support Lead - Elevate BI & Data Ops

Data Support Lead - Elevate BI & Data Ops

Full-Time 37800 - 46200 £ / year (est.) Hybrid
Moto Hospitality

At a Glance

  • Tasks: Lead a team to enhance data support and ensure smooth reporting operations.
  • Company: Join Moto Hospitality, a leader in the hospitality sector.
  • Benefits: Enjoy hybrid working, competitive salary, and opportunities for growth.
  • Other info: Collaborative environment with a focus on continuous improvement.
  • Why this job: Make a real difference in data management while leading a dynamic team.
  • Qualifications: Experience in data support and strong leadership skills required.

The predicted salary is between 37800 - 46200 £ per year.

Moto Hospitality is seeking a Data Support Manager to lead the support and continuous improvement of our data and reporting environment. You will manage a small team of Data Support Engineers, work with third-party partners, and ensure our data platforms and dashboards run smoothly daily. This role combines people leadership with service management and technical understanding, offering hybrid working from Toddington.

Data Support Lead - Elevate BI & Data Ops employer: Moto Hospitality

Moto Hospitality is an exceptional employer, offering a dynamic work environment at Cherwell Services, where you can thrive as a Cafe Team Member. With flexible shift patterns, competitive weekly pay, and ample opportunities for personal development, you'll be part of a supportive team dedicated to delivering outstanding customer service in a vibrant setting. Join us to enjoy a rewarding career that values your contributions and fosters growth.

Moto Hospitality

Contact Details:

Moto Hospitality Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Data Support Lead - Elevate BI & Data Ops

✨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 Moto Hospitality!

✨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 Data Support Lead - Elevate BI & Data Ops at Moto Hospitality.

✨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 Moto Hospitality.

✨Apply Directly through Our Website

When you find a suitable opening like Data Support Lead - Elevate BI & Data Ops at Moto Hospitality, 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 Data Support Lead - Elevate BI & Data Ops

Communication Skills
Problem-Solving Skills
Automation
SQL
Data Engineering
Python
ETL/ELT Processes

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 Moto Hospitality, 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 Moto Hospitality. 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 Moto Hospitality

✨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 Moto Hospitality!

✨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.