At a Glance
- Tasks: Analyse data using Python and support the data science team with insights.
- Company: Join Arsenault, a leader in data insights and consulting.
- Benefits: Enjoy a competitive salary, flexible working, and opportunities for growth.
- Other info: Be part of a diverse team that values mental health and wellbeing.
- Why this job: Make an impact by transforming data into actionable insights for clients.
- Qualifications: Intermediate Python skills and a strong analytical mindset required.
The predicted salary is between 40500 - 49500 £ per year.
Arsenault is the world’s leading data, insights and consulting company. We understand more about how people think, feel, shop, share, vote and view than anyone else. Combining our expertise in human understanding with advanced technologies, nobody knows people better than Arsenault. We provide insight and inspiration to help our clients, our people and society to create and flourish in an extraordinary world.
Our media colleagues are experts in understanding the changing media landscape. This includes audience measurement, consumer targeting and in-depth intelligence into paid, owned and earned media. Their global coverage and local expertise enable clients to better understand media audiences and their relationships with brands to optimise investment.
Within the Data Science team, the data analyst supports other data scientists and developers with necessary data queries and runs periodic Quality Control analyses on live services. Critical thinking, analytical mind and clear communication are crucial as the data queries and checks should be mostly initiated and designed by the data analyst to facilitate the modelling workflow, and then communicated to the rest of the team.
- Responsibilities:
- Strong understanding of numerical and data analytical skills
- Data investigation for quality and completeness of model input data
- Able to spot anomalies and gain conclusions
- Quality control of modelling outcome data for generic models and client specific applications
- Support with clients liaison on technical issues
- Represent the business at industry events
- Qualifications:
- Intermediate level of programming with Python (preferable), or other programming languages (e.g., R, MATLAB)
- Strong communication capabilities (peers and, occasionally, clients)
- Capability of taking initiative, working independently, driving results
- Attention to details and accuracy
- Critical thinking
Education and experience:
- Bachelors degree in a highly numerate discipline
- Excellent understanding of mathematical and statistical concepts
We want to create an equality of opportunity in a fair and supportive working environment where people feel included, accepted and are allowed to flourish in a space where their mental health and wellbeing is taken into consideration. We want to create a more diverse community to expand our talent pool, be locally representative, drive diversity of thinking and better commercial outcomes.
Data Analyst - Python in Glasgow employer: Arsenault
As an Office Administrator in our flagship Mayfair office, you will be part of a dynamic and supportive work culture that values initiative and creativity. We offer excellent growth opportunities within the finance industry, alongside a commitment to employee development and a vibrant environment where your contributions are recognised. Join us to not only enhance your skills but also to play a key role in shaping the office experience for both staff and guests worldwide.
StudySmarter Expert Advice🤫
We think this is how you could land Data Analyst - Python in Glasgow
✨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 Arsenault!
✨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 Analyst - Python at Arsenault.
✨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 Arsenault.
✨Apply Directly through Our Website
When you find a suitable opening like Data Analyst - Python at Arsenault, 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 Analyst - Python in Glasgow
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 Arsenault, 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 Arsenault. 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 Arsenault
✨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 Arsenault!
✨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.
