At a Glance
- Tasks: Transform complex data into engaging visual stories and lead design of impactful visualisations.
- Company: Join a forward-thinking team dedicated to unlocking the power of data.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on innovation and creativity.
- Why this job: Make a real difference by turning data into insights that drive decisions.
- Qualifications: 6+ years in data visualisation, with strong Power BI skills and a STEM degree.
The predicted salary is between 54000 - 66000 £ per year.
- The main responsibilities will include translating complex datasets into visual stories. You will support the team of researchers and analysts to find the relevant data and lead the design of the data visualizations to communicate insights. You will work in support with data engineers, data scientists, analysts and project managers.
- The Data Visualization Designer must be intellectually curious, and with commitment to unlocking the value of data by identifying the appropriate visualizations/plots for each use case.
Job Responsibilities
- The main responsibilities will include translating complex datasets into visual stories. You will support the team of researchers and analysts to find the relevant data and lead the design of the data visualizations to communicate insights. You will work in support with data engineers, data scientists, analysts and project managers.
- The Data Visualization Designer must be intellectually curious, and with commitment to unlocking the value of data by identifying the appropriate visualizations/plots for each use case.
Skills Required
- Experience with Power BI
- Experience in building visualizations using open sourced libraries such as Plotly, Seaborn and Matplotlib
- Experience in connecting the data visualization tools to various data source systems
Experience Required
- Overall 6+ Years Work Experience
- 4+ Years of Experience working as Data Visualization Engineer
- Expertise in Power BI
Education Required
- A Bachelors or Masters STEM degree.
Education Preferred
- Advanced Power BI certifications
Sr Power BI Developer in Littleborough employer: Propel Infotech
As a Sr Power BI Developer, you will thrive in a dynamic and collaborative environment that values intellectual curiosity and innovation. Our company offers exceptional employee growth opportunities, a supportive work culture, and the chance to work alongside talented professionals in data engineering and analysis. Located in a vibrant area, we provide unique advantages such as access to cutting-edge technology and a commitment to unlocking the full potential of data through impactful visual storytelling.
StudySmarter Expert Advice🤫
We think this is how you could land Sr Power BI Developer in Littleborough
✨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 Propel Infotech!
✨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 Sr Power BI Developer at Propel Infotech.
✨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 Propel Infotech.
✨Apply Directly through Our Website
When you find a suitable opening like Sr Power BI Developer at Propel Infotech, 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 Sr Power BI Developer in Littleborough
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 Propel Infotech, 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 Propel Infotech. 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 Propel Infotech
✨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 Propel Infotech!
✨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.
