At a Glance
- Tasks: Gather and organise data on companies and executives in Salesforce.
- Company: Raw Selection, a dynamic firm focused on executive search.
- Benefits: Gain valuable experience with no sales calls and flexible working hours.
- Other info: Opportunity for growth in a supportive team environment.
- Why this job: Learn the executive search process while making a real impact on research.
- Qualifications: Attention to detail and strong organisational skills required.
The predicted salary is between 25650 - 31350 £ per year.
Raw Selection in Leeds is seeking a data research analyst to systematically gather and organize information on companies and executives in Salesforce.
You will learn the executive search process from scratch and support the research team with accurate data.
This role focuses on meticulous, repetitive data-entry with no sales calls.
You will identify relevant companies, capture leadership details, and help build repeatable processes to speed up new searches while meeting tight deadlines.
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Data Research Analyst: Exec Leadership Data in Salesforce in Leeds employer: Raw Selection
Raw Selection is an exceptional employer that prioritises the growth and development of its employees, offering daily training, one-to-one coaching, and a structured development path tailored for high-potential individuals. With a focus on high-value executive search in the Private Equity sector, employees can expect to engage with senior decision-makers while enjoying uncapped earning potential and a culture that celebrates continuous improvement and collaboration. Located in a dynamic market, Raw Selection provides a unique opportunity for ambitious sales professionals to elevate their careers and earnings significantly.
StudySmarter Expert Advice🤫
We think this is how you could land Data Research Analyst: Exec Leadership Data in Salesforce in Leeds
✨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 Raw Selection!
✨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 Research Analyst: Exec Leadership Data in Salesforce at Raw Selection.
✨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 Raw Selection.
✨Apply Directly through Our Website
When you find a suitable opening like Data Research Analyst: Exec Leadership Data in Salesforce at Raw Selection, 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 Research Analyst: Exec Leadership Data in Salesforce in Leeds
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 Raw Selection, 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 Raw Selection. 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 Raw Selection
✨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 Raw Selection!
✨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.
