Hybrid Client Delivery Advocate - Data Solutions

Hybrid Client Delivery Advocate - Data Solutions

Full-Time 30000 - 37000 £ / year (est.) Home office (partial)
Intelligentsia Capital

At a Glance

  • Tasks: Support clients with software setup, onboarding, and data analysis in a dynamic environment.
  • Company: Join iCapital, a leader in finance and technology solutions.
  • Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
  • Other info: Fast-paced role with excellent career advancement potential.
  • Why this job: Blend your passion for finance and tech while making a real difference for clients.
  • Qualifications: Bachelor’s degree and strong skills in Excel and PowerPoint required.

The predicted salary is between 30000 - 37000 £ per year.

i Capital is seeking a Client Delivery Advocate Analyst to join the Data Solutions team in Edinburgh.

The role blends finance and technology, handling software setup, client onboarding, data feeds, and issue resolution in a fast-paced environment.

You will work closely with clients to analyze portfolio data, reconcile accounts, and generate accurate statements.

A Bachelor’s degree and strong Excel/Power Point skills are required.

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Hybrid Client Delivery Advocate - Data Solutions employer: Intelligentsia Capital

iCapital is an exceptional employer that fosters a collaborative and innovative work culture, making it an ideal place for professionals seeking to make a meaningful impact in the alternative investment ecosystem. With a strong focus on employee growth, the company offers unique opportunities to engage in high-stakes legal projects while working alongside some of the industry's leading experts. Located in EMEA, employees benefit from a flexible work environment that promotes work-life balance, allowing them to thrive both personally and professionally.

Intelligentsia Capital

Contact Details:

Intelligentsia Capital Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Hybrid Client Delivery Advocate - Data Solutions

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Apply Directly through Our Website

When you find a suitable opening like Hybrid Client Delivery Advocate - Data Solutions at Intelligentsia Capital, 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 Hybrid Client Delivery Advocate - Data Solutions

Client Onboarding
Data Analysis
Excel
PowerPoint
Issue Resolution
Portfolio Analysis
Account Reconciliation

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 Intelligentsia Capital, 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 Intelligentsia Capital. 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 Intelligentsia Capital

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 Intelligentsia Capital!

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.