At a Glance
- Tasks: Join our Events team to manage data for corporate events and transcripts.
- Company: Work with a global leader in the finance industry, known for innovation and quality.
- Benefits: Enjoy a 12-month contract with potential for growth and valuable experience.
- Why this job: Be part of a dynamic team that values accuracy and client engagement in finance.
- Qualifications: Financial expertise and service desk experience are essential; familiarity with JIRA is a plus.
- Other info: Immediate start in London; we celebrate diversity and welcome all applicants.
The predicted salary is between 36000 - 60000 £ per year.
Our client, a global leader in the finance industry, is seeking a highly motivated individual to join their dynamic Events and Transcripts team that focuses on delivering high-quality data solutions for the Corporate Events and Transcripts products. This role is critical to ensuring data completeness, accuracy, and quality in our Corporate Events & Transcripts product. This is a 12-month temporary contract with an immediate start date based in the city of London.
This role involves managing KTLO Events & Transcripts project recruitment and day-to-day service desk operations. The role focuses on handling SDSK and ADSK service requests, ensuring financial domain expertise in corporate events, and facilitating transcription deliveries to vendors with precision to ensure timely data availability on the client’s database.
The successful candidate will have a strong mix of financial data expertise, service desk operations experience, and attention to detail, ensuring high-quality corporate event data delivery, along with excellent interpersonal skills and familiarity with handling JIRA and Agile Workflows.
Responsibilities:- Service Desk Management: Handle ADSK, SDSK requests, client inquiries, and sales escalations.
- Corporate Events Data Processing: Ensure accurate and timely delivery of corporate event details and transcriptions to vendors and client’s internal database.
- Data Backfills & Research: Conduct proactive research to improve data quality and maintain consistency.
- Client Engagement Support: Validate dial-in details, webcast information, and event metadata to ensure an optimal client experience.
- SLA Adherence & Timeliness: Monitor and maintain SLA commitments, ensuring uninterrupted product operation.
- Financial domain expertise, particularly in corporate events.
- Service desk operations & incident management.
- Experience with KTLO projects, JIRA, and Agile Workflows.
- Strong client communication & engagement skills.
- Basic troubleshooting and issue escalation knowledge.
- Proficiency in Excel (Pivots/VBA/Data Analysis) is a plus.
- Experience with Bloomberg Terminal is preferred.
Unfortunately, we are only able to contact applicants who are successful to interview stage. We are an equal opportunities employer and welcome applicants from all sections of the community, regardless of age, sex, gender (or gender identity), ethnicity, disability, sexual orientation, and transgender status. All appointments are based on merit.
Data Analyst - Financial Services employer: Project Recruit
Contact Detail:
Project Recruit Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst - Financial Services
✨Tip Number 1
Familiarise yourself with the financial services industry, particularly corporate events. Understanding the nuances of this sector will not only help you in interviews but also demonstrate your genuine interest in the role.
✨Tip Number 2
Brush up on your service desk operations knowledge. Since the role involves managing service requests and client inquiries, being able to discuss your experience with similar systems will set you apart from other candidates.
✨Tip Number 3
Get comfortable with tools like JIRA and Agile workflows. If you can showcase your familiarity with these platforms during discussions, it will highlight your readiness for the role and your ability to adapt quickly.
✨Tip Number 4
Prepare examples of how you've ensured data accuracy and quality in previous roles. Being able to share specific instances where you've improved data processes will demonstrate your attention to detail and problem-solving skills.
We think you need these skills to ace Data Analyst - Financial Services
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your financial domain expertise and experience with service desk operations. Use specific examples that demonstrate your attention to detail and familiarity with JIRA and Agile workflows.
Craft a Compelling Cover Letter: In your cover letter, express your motivation for applying to this role. Mention how your skills align with the responsibilities outlined in the job description, particularly in managing corporate events data processing and client engagement support.
Showcase Relevant Skills: Emphasise your proficiency in Excel, especially if you have experience with Pivots, VBA, or data analysis. If you have used Bloomberg Terminal, make sure to mention it as it is preferred for this position.
Proofread Your Application: Before submitting, carefully proofread your application materials. Ensure there are no typos or grammatical errors, as these can detract from your professionalism and attention to detail.
How to prepare for a job interview at Project Recruit
✨Showcase Your Financial Expertise
Make sure to highlight your knowledge of corporate events and financial data during the interview. Be prepared to discuss specific examples from your past experience that demonstrate your understanding of the financial domain.
✨Demonstrate Service Desk Experience
Since the role involves managing service desk operations, be ready to talk about your previous experience in this area. Discuss how you've handled client inquiries and escalations, and share any relevant metrics or outcomes from your past roles.
✨Familiarity with Tools and Methodologies
The job requires familiarity with JIRA and Agile workflows, so make sure you can speak confidently about your experience with these tools. If you have used them in past projects, provide examples of how they helped improve efficiency or data quality.
✨Prepare for Client Engagement Scenarios
Since client communication is key, think of scenarios where you successfully engaged with clients or resolved issues. Prepare to discuss how you validated information and ensured a positive client experience, as this will show your interpersonal skills.