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- Tasks: Join a dynamic team as a Data Consultant, working with data tools and scripting.
- Company: Be part of a leading global Financial Services provider in a fast-paced environment.
- Benefits: Enjoy a hybrid work model with flexibility and corporate perks.
- Why this job: Gain hands-on experience in data management while contributing to impactful projects.
- Qualifications: 1-4 years of experience with scripting (Python) and data tools like SQL and AWS required.
- Other info: This is a contract role based in London; on-site presence needed 3 days a week.
The predicted salary is between 28800 - 48000 £ per year.
I am currently working alongside a global Financial Services provider who are looking for a junior Data Consultant to join their team.
This is a contract, hybrid role based in London.
Applicants must be able to be on site 3 days a week in London offices – NO SPONSORSHIP AVAILABLE
Suitable candidates:
– This is a junior role, applicants should have 1-4 years of experience
– You will have some scripting skills (ideally Python) – with production release experience
– Experience with data tools eg Databricks / Snowflake / SQL / AWS
– Understanding of data management concepts as well as exposure to data dictionaries, glossaries and catalogues
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Data Consultant – Technical (Junior-mid-level) employer: Levy Professionals
Contact Detail:
Levy Professionals Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Consultant – Technical (Junior-mid-level)
✨Tip Number 1
Familiarise yourself with the specific data tools mentioned in the job description, such as Databricks, Snowflake, and AWS. Having hands-on experience or even completing relevant online courses can give you a significant edge during interviews.
✨Tip Number 2
Brush up on your Python scripting skills, especially focusing on how to apply them in data management scenarios. Consider working on small projects or contributing to open-source projects to showcase your abilities.
✨Tip Number 3
Understand the concepts of data dictionaries, glossaries, and catalogues. Being able to discuss these topics confidently will demonstrate your knowledge and commitment to the role.
✨Tip Number 4
Network with professionals in the financial services sector, particularly those who work with data. Attend industry meetups or webinars to make connections that could lead to referrals or insights about the company culture.
We think you need these skills to ace Data Consultant – Technical (Junior-mid-level)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience, especially any scripting skills in Python and familiarity with data tools like Databricks, Snowflake, SQL, or AWS. Use specific examples to demonstrate your understanding of data management concepts.
Craft a Compelling Cover Letter: Write a cover letter that explains why you are interested in the Data Consultant role and how your background aligns with the company's needs. Mention your experience with production releases and any relevant projects you've worked on.
Showcase Your Skills: In your application, clearly outline your technical skills and experiences. If you have worked with data dictionaries, glossaries, or catalogues, be sure to include this information to show your understanding of data management.
Proofread Your Application: Before submitting, carefully proofread your CV and cover letter for any spelling or grammatical errors. A polished application reflects your attention to detail, which is crucial for a data consultant role.
How to prepare for a job interview at Levy Professionals
✨Showcase Your Scripting Skills
Make sure to highlight your experience with scripting, especially in Python. Be prepared to discuss specific projects where you've used these skills and how they contributed to the success of the project.
✨Familiarise Yourself with Data Tools
Since the role requires knowledge of tools like Databricks, Snowflake, SQL, and AWS, brush up on these technologies. Be ready to explain how you've used them in past roles or projects, even if it's just in a learning capacity.
✨Understand Data Management Concepts
Demonstrate your understanding of data management concepts during the interview. Be prepared to discuss data dictionaries, glossaries, and catalogues, and how they play a role in effective data management.
✨Prepare for Hybrid Work Discussion
Since this is a hybrid role, be ready to discuss your approach to working both remotely and on-site. Highlight your ability to collaborate effectively in both environments and any experiences that showcase your adaptability.
