At a Glance
- Tasks: Empower teams with CRM and data tools, turning insights into action.
- Company: Join Speedy Freight, a supportive company focused on growth.
- Benefits: Enjoy a collaborative culture and opportunities for personal development.
- Other info: Build relationships across Operations, Sales, and IT in a dynamic environment.
- Why this job: Make a real impact by transforming data into valuable insights.
- Qualifications: Experience with CRM systems and strong communication skills.
The predicted salary is between 29700 - 36300 £ per year.
Speedy Freight is seeking an on-site Systems & CRM Support specialist to empower franchisees, branches and internal teams with our CRM and data tools.
You’ll help users derive value from Hub Spot, TMS, FAME and Zoom Info, turning data into actionable insights.
You’ll create dashboards, deliver onboarding, and advise on process improvements while building strong relationships with stakeholders across Operations, Sales and IT.
On offer is a supportive culture and growth opportunities.
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HubSpot & Data Insights Specialist - Logistics Ops in Manchester employer: Speedy Freight
As a Digital Support Apprentice, you will join a dynamic team that values innovation and collaboration, providing you with the opportunity to develop essential skills in logistics and customer service. Our supportive work culture encourages personal growth and offers comprehensive training, ensuring you thrive in your role while enjoying a competitive salary of £16,000 a year. Located in a vibrant area, we provide a unique environment where you can make a meaningful impact from day one.
StudySmarter Expert Advice🤫
We think this is how you could land HubSpot & Data Insights Specialist - Logistics Ops in Manchester
✨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 Speedy Freight!
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When you find a suitable opening like HubSpot & Data Insights Specialist - Logistics Ops at Speedy Freight, 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 HubSpot & Data Insights Specialist - Logistics Ops in Manchester
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 Speedy Freight, 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 Speedy Freight. 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 Speedy Freight
✨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 Speedy Freight!
✨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.