At a Glance
- Tasks: Develop and maintain SharePoint infrastructure and Microsoft Office 365 applications.
- Company: Join a leading data solutions company focused on traffic incident data.
- Benefits: Enhance your technical skills with competitive pay and growth opportunities.
- Other info: Dynamic role with excellent opportunities for professional development.
- Why this job: Be part of a market-leading team and make a real impact in data solutions.
- Qualifications: Proficient in Excel, experienced with DAX, and familiar with SharePoint and Python.
The predicted salary is between 40000 - 50000 £ per year.
Job Search Place Limited is looking for a Data Solutions Engineer to develop and maintain SharePoint infrastructure and other Microsoft Office 365 applications within the INRIX Incident Group. This role is critical in ensuring that INRIX's traffic incident data product remains market-leading through ongoing integration of Office 365 applications and workflows.
The ideal candidate will be proficient in Excel, have experience with DAX, and be familiar with tools like SharePoint and Python for data tasks. This position offers an excellent opportunity to enhance technical skills in design and implementation of business solutions.
Data Solutions Engineer: Power BI, SharePoint & Python employer: Job Search Place Limited
Job Search Place Limited is an exceptional employer that fosters a collaborative and innovative work culture, providing employees with the opportunity to enhance their technical skills in a dynamic environment. Located within the vibrant INRIX Incident Group, team members benefit from ongoing professional development and the chance to work on cutting-edge projects that keep our traffic incident data product at the forefront of the industry.
StudySmarter Expert Advice🤫
We think this is how you could land Data Solutions Engineer: Power BI, SharePoint & Python
✨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 Job Search Place Limited!
✨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 Solutions Engineer: Power BI, SharePoint & Python at Job Search Place Limited.
✨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 Job Search Place Limited.
✨Apply Directly through Our Website
When you find a suitable opening like Data Solutions Engineer: Power BI, SharePoint & Python at Job Search Place Limited, 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 Solutions Engineer: Power BI, SharePoint & Python
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 Job Search Place Limited, 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 Job Search Place Limited. 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 Job Search Place Limited
✨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 Job Search Place Limited!
✨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.
