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- Tasks: Join a global project team to analyze and model data for investor reporting.
- Company: Work with a well-known financial services company on exciting technology changes.
- Benefits: Potential for contract extensions and hands-on experience in a dynamic environment.
- Why this job: Be part of impactful projects, collaborate with experts, and enhance your data skills.
- Qualifications: Experience as a Data Analyst or Business Data Analyst is essential; asset management background preferred.
- Other info: Immediate start required; onsite work is mandatory.
The predicted salary is between 36000 - 60000 £ per year.
Data Analyst Initial 6 month contract, with potential extensions Ideally looking for an immediate start. Our client a well known financial services company is currently hiring for a Data Analyst to be part of a global project team to work on a technology change project. Within this role, you will be responsible for: • Liaising with key SMEs to understand the data landscape and help scope and align the data sets used in investor reporting. • Modelling data sources, roles & responsibilities, systems, flow and then assisting with requirement gathering for system development & integrations. • Developing customised queries, reports and dashboards for project analytics • Collaborating with stakeholders to develop a data migration approach • Working with in house developers and the third-party vendor to problem solve data challenges and propose a sustainable data process between platforms. • Identify, analyse, and interpret trends or patterns in complex data sets. • Identify and define new data process improvement opportunities. Essential Skills Qualification or relevant professional experience in Business, Finance, or IT. Must have experience working as a Data Analyst / Business Data Analyst. Experience working on large data sets, including the use of ETL processes for the organisation of data. Asset Management experience is essential Previous experience as an Accountant/Fund Accountant Onsite working required Highly Desirable Data or Business Analyst qualification.
Data Analyst employer: Kepler Search
Contact Detail:
Kepler Search Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst
✨Tip Number 1
Make sure to familiarize yourself with the financial services industry, especially asset management. Understanding the specific challenges and data requirements in this sector will help you stand out during discussions with potential employers.
✨Tip Number 2
Brush up on your ETL (Extract, Transform, Load) skills. Since the role involves working with large data sets and organizing data, demonstrating your proficiency in ETL processes can significantly boost your chances of landing the job.
✨Tip Number 3
Prepare to discuss your experience with data modeling and reporting tools. Being able to articulate how you've previously developed customized queries, reports, and dashboards will show that you're ready to contribute from day one.
✨Tip Number 4
Network with professionals in the financial services sector. Engaging with industry contacts can provide insights into the company culture and expectations, which can be invaluable during interviews.
We think you need these skills to ace Data Analyst
Some tips for your application 🫡
Understand the Role: Make sure to thoroughly read the job description and understand the key responsibilities and skills required for the Data Analyst position. Tailor your application to highlight your relevant experience in data analysis, especially in financial services.
Highlight Relevant Experience: In your CV and cover letter, emphasize your previous roles as a Data Analyst or Business Data Analyst. Include specific examples of how you've worked with large data sets, ETL processes, and any experience in asset management.
Showcase Technical Skills: Mention any technical skills that are relevant to the role, such as experience with data modeling, query development, and dashboard creation. If you have worked with specific tools or technologies, be sure to include those as well.
Craft a Strong Cover Letter: Write a compelling cover letter that not only summarizes your qualifications but also expresses your enthusiasm for the role and the company. Discuss how your background aligns with the company's goals and the specific project you'll be working on.
How to prepare for a job interview at Kepler Search
✨Understand the Data Landscape
Make sure to familiarize yourself with the data landscape relevant to the financial services industry. Be prepared to discuss how you would liaise with subject matter experts (SMEs) to scope and align data sets for investor reporting.
✨Showcase Your Technical Skills
Highlight your experience with ETL processes and working with large data sets. Be ready to provide examples of customized queries, reports, and dashboards you've developed in previous roles.
✨Collaboration is Key
Emphasize your ability to collaborate with stakeholders and developers. Prepare to discuss how you would approach developing a data migration strategy and solving data challenges with both in-house teams and third-party vendors.
✨Demonstrate Analytical Thinking
Be prepared to identify and interpret trends or patterns in complex data sets. Think of specific instances where you've identified process improvement opportunities and be ready to share those experiences.
