At a Glance
- Tasks: Manage and analyse data to support strategic decision-making and improve reporting processes.
- Company: Join a dynamic team focused on business development and data-driven growth.
- Benefits: Gain valuable experience, develop your skills, and enjoy a collaborative work environment.
- Other info: Opportunity to work with cross-functional teams and enhance your analytical skills.
- Why this job: Make an impact by translating complex data into meaningful insights for the business.
- Qualifications: Proficiency in data analysis tools like Excel, SQL, Python, or Power BI is essential.
The predicted salary is between 40500 - 49500 £ per year.
Data Analyst within the Business Development team, you will play a key role in managing and analysing data, improving reporting processes and automating insights to support strategic decision-making.
Working closely with stakeholders across the business, you will help identify trends, opportunities and efficiencies that contribute to the firm's wider growth objectives.
This is an excellent opportunity for a data-focused professional who enjoys working with complex information, improving processes and translating data into meaningful business insights.
We are looking for a data-focused and analytical professional who can work confidently with complex datasets while also understanding the wider business requirements behind the data.
You will be comfortable working collaboratively with different teams, translating business requirements into practical reporting solutions and presenting your findings clearly to stakeholders.
Key Responsibilities
- Gather, organise and manage data from multiple sources, ensuring accuracy, consistency and reliability.
- Work closely with the Operations and Planning teams to understand data analytics, reporting and process mapping requirements.
- Analyse datasets to identify trends, insights, opportunities and quick wins that can support business decision-making.
- Work with internal teams to identify appropriate data sources and define reporting requirements and workflows.
- Design scalable processes and solutions to improve and automate reporting.
- Collaborate with Data Visualisation Designers and Analysts to ensure data and reporting requirements are clearly defined for development.
- Communicate analytical findings and insights to relevant stakeholders, incorporating feedback and refining outputs where required.
- Support the development of efficient, repeatable and automated reporting processes.
- Conduct detailed data analysis and investigation where required to identify issues, inconsistencies or opportunities for improvement.
- Maintain high standards of data integrity and ensure appropriate data governance processes are followed.
- Keep up to date with developments in data analytics, reporting tools and methodologies.
- Identify opportunities to improve the quality, efficiency and impact of data analysis and reporting across the function.
Skills & Experience
- Strong proficiency in relevant data analysis and reporting tools, such as Excel, SQL, Python, R, Power BI or Tableau.
- Proven experience collecting, cleaning, analysing and managing data from multiple sources.
- Strong understanding of data and reporting workflows, process mapping and data analysis.
- Experience conducting detailed data investigation or data forensics where required.
- Comfortable working with both structured and unstructured datasets.
- Experience collaborating with cross-functional teams to define data requirements, reporting processes and automation opportunities.
- Understanding of data visualisation principles and experience working with dashboard developers or data visualisation specialists.
- Ability to communicate complex data and insights clearly to both technical and non-technical stakeholders.
Data Analyst 12 Month FTC in London employer: Blue Legal
Blue Legal is an excellent employer, offering a dynamic work environment in the heart of the City of London. With a strong focus on employee development, including support for SQE preparation, the firm fosters a culture of growth and collaboration, ensuring that team members are well-equipped to excel in their roles. The commitment to compliance and operational excellence, combined with a supportive atmosphere, makes this law firm a rewarding place to build a meaningful career.
StudySmarter Expert Advice🤫
We think this is how you could land Data Analyst 12 Month FTC in London
✨Tap into Online Data Science Communities
Join online communities focused on data science like Kaggle, LinkedIn groups, or Reddit threads. These are goldmines for temporary gigs, as you can network with professionals and potentially hear about opportunities at companies like Blue Legal before they're even advertised!
✨Show Off Your Skills With Projects
Got some cool data science projects? Showcase them on platforms like GitHub or create a personal portfolio website. This visibility is crucial for landing temporary roles—let recruiters see your actual skills in action, which can set you apart from the crowd.
✨Check Out Specialist Job Boards
For temp roles, hit up job boards dedicated to tech and data science, like Stack Overflow Jobs or DataJobs. These platforms often feature openings that you won’t find on general job sites, including contracts with companies like Blue Legal.
✨Leverage University Resources
If you're currently at uni or recently graduated, tap into your school's career services. They often have connections with companies looking for temporary data science interns or contract workers, and they might even host job fairs with employers like Blue Legal.
We think you need these skills to ace Data Analyst 12 Month FTC in London
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at Blue Legal, make sure to showcase any relevant projects you've worked on. Whether it's a personal project, an academic undertaking, or contributions to an open-source initiative, detailing these experiences can really set you apart and demonstrate your practical skills.
Emphasise Your Analytical Skills:In your CV and cover letter, focus on the specific analytical skills that are key to data science. Mention any experience with statistical tools, programming languages like Python or R, and data visualisation software. Don't forget to include any certifications that may bolster your expertise!
Show Your Flexibility:Since this is a temporary role, it's important to convey your adaptability and willingness to learn. In your cover letter to Blue Legal, emphasise how quickly you can get up to speed with new tools or projects. Highlight any previous experiences where you've had to adjust to new environments or challenges.
Craft a Unique Data-Driven Cover Letter:Instead of the usual generic cover letter, spice it up with some data! Maybe you’ve improved a process by 20% in a past role or cleaned a dataset with over a million entries. Use these stats to your advantage to grab Blue Legal’s attention and show the tangible impact of your work.
How to prepare for a job interview at Blue Legal
✨Showcase Your Analytical Skills
For a data science gig, it's crucial to demonstrate your analytical abilities. Be ready to discuss previous projects and the methodologies you used. Think about how you can quantify your impact—did your analysis improve efficiency or save costs? These are the stories that will stick with interviewers at Blue Legal.
✨Brush Up on Technical Skills
You might face technical questions on tools relevant to data science, like Python, R, or SQL. Prepare to solve a problem live—perhaps they'll ask you to write a simple query or code snippet. It’s cool to talk about them, but we need to show we can do it in practice, especially in a temporary role where quick results matter.
✨Highlight Your Adaptability
Since this is a temporary position, emphasise your ability to learn quickly and adapt to new tools or workflows. Share examples of how you've thrived in fast-paced environments before, and how you can hit the ground running at Blue Legal.
✨Prepare a Portfolio of Your Work
Bring your portfolio to the table—showcase projects where you've leveraged data science techniques to solve problems. Whether it’s a GitHub repository or a set of case studies, having tangible examples of your work will help you stand out and show what you bring to the team at Blue Legal.
