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For Companies At a Glance
- Tasks: Analyse data and create impactful visualisations to drive business insights.
- Company: Join a leading global investment management firm in London.
- Benefits: Enjoy a competitive salary, bonuses, and flexible working options.
- Why this job: Be part of a dynamic team shaping the future of investment analytics.
- Qualifications: Experience with SQL, Tableau, Power BI, and a strong understanding of asset management.
- Other info: Permanent role with opportunities for professional growth and development.
The predicted salary is between 54000 - 126000 £ per year.
Overview
This range is provided by McCabe & Barton. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.
Compensation
Base pay range: Up to £90k base + bonus + benefits
Location & Employment
London, United Kingdom. Permanent, 4 days in office.
About the role
Our client is one of the global investment management companies. They are looking for a Senior Data & Analytics Analyst to join the teams in London.
Primary Responsibilities
- Partner with business units to understand investment management data needs and deliver impactful analytics solutions.
- Collect, analyze, and interpret large datasets using SQL and advanced data analysis techniques.
- Design and develop dashboards and reports in Tableau and Power BI to communicate insights clearly to stakeholders.
- Create data-driven recommendations to enhance portfolio management, risk assessment, and operational efficiency.
Technical Agility
- Independently analyze business processes, identify improvement opportunities, and propose data-driven solutions.
- Establish and promote best practices in SQL development, dashboard design, and analytics workflows.
- Ensure data integrity, accuracy, and compliance with industry standards in investment management.
- Lead initiatives to improve data literacy across teams, including training on analytics tools and visualization best practices.
- Manage analytics roadmaps and prioritize projects that deliver high business impact.
Skills & Qualifications
- Technical Skills: Tableau, Power BI, SQL, advanced Excel, data modeling, data transformation, statistical analysis.
- Domain Expertise: deep understanding of the asset management industry, investment operations business model, and investment process, data, and systems flow.
- Able to help shape a vision for transforming existing capabilities leveraging understanding of industry trends, understanding of the IO business and technology tools to advance organizational goals.
- Proficient in using various data, technologies and analytical tools. Stays updated with the emerging technological trends and best practices to drive business transformation.
- Strong problem-solving, strategic thinking, and data storytelling abilities.
- Excellent interpersonal skills to influence and engage stakeholders at all levels.
- Proven ability to work in agile, fast-paced environments.
Seniority level
- Mid-Senior level
Employment type
- Full-time
Job function
- Analyst
Industries
- Investment Management, Investment Banking, and Financial Services
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Senior Data Analytics Analyst employer: Mccabe & Barton
Contact Detail:
Mccabe & Barton Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Analytics Analyst
✨Tip Number 1
Familiarise yourself with the latest trends in data analytics and investment management. Understanding the current landscape will not only help you during interviews but also demonstrate your genuine interest in the role.
✨Tip Number 2
Network with professionals in the asset management industry. Attend relevant meetups or webinars to connect with potential colleagues and learn more about the company culture, which can give you an edge in your application.
✨Tip Number 3
Brush up on your SQL and data visualisation skills, particularly in Tableau and Power BI. Consider working on personal projects or case studies that showcase your ability to analyse data and create impactful dashboards.
✨Tip Number 4
Prepare to discuss specific examples of how you've used data to drive business decisions in previous roles. Being able to articulate your experience with data storytelling will resonate well with the interviewers.
We think you need these skills to ace Senior Data Analytics Analyst
Some tips for your application 🫡
Understand the Role: Before applying, make sure to thoroughly understand the responsibilities and qualifications required for the Senior Data & Analytics Analyst position. Tailor your application to highlight relevant experience in data analysis, SQL, and tools like Tableau and Power BI.
Highlight Relevant Experience: In your CV and cover letter, emphasise your experience with large datasets, analytics solutions, and any previous roles that involved business insight and visualization. Use specific examples to demonstrate your technical skills and domain expertise in investment management.
Showcase Your Technical Skills: Clearly list your technical skills related to the job description, such as proficiency in SQL, Tableau, Power BI, and advanced Excel. Consider including a section in your CV that details your experience with data modelling, transformation, and statistical analysis.
Craft a Compelling Cover Letter: Write a cover letter that not only outlines your qualifications but also conveys your passion for data analytics and investment management. Discuss how you can contribute to improving data literacy and driving business transformation within the company.
How to prepare for a job interview at Mccabe & Barton
✨Showcase Your Technical Skills
Be prepared to discuss your experience with SQL, Tableau, and Power BI in detail. Bring examples of dashboards or reports you've created, and be ready to explain the thought process behind your data analysis techniques.
✨Demonstrate Industry Knowledge
Familiarise yourself with the asset management industry and current trends. Be ready to discuss how your understanding of investment operations can contribute to the company's goals and how you can leverage data to enhance portfolio management.
✨Prepare for Problem-Solving Scenarios
Expect to face case studies or hypothetical scenarios during the interview. Practice articulating your problem-solving approach, focusing on how you would identify improvement opportunities and propose data-driven solutions.
✨Engage with Stakeholders
Highlight your interpersonal skills by discussing past experiences where you successfully influenced or engaged stakeholders. Prepare to share examples of how you communicated complex data insights to non-technical audiences.
