Data Analyst – Associate

cer Financial
London
2 years ago
Applications closed

Related Jobs

View all jobs

Senior Data Scientist

Machine Learning Scientist

Data Science Apprentice (SPACE) - Pfizer

Data Scientist within Asset & Wealth Management (Senior Associate)

Data Scientist within Asset & Wealth Management (Senior Associate)

Data Scientist AI

Job Description

Data Analyst – Associate

City of London

Contract

£350.00 per day

cer Financial are working alongside an international bank, within their leveraged finance origination team based in the City of London. They are looking for a Data Analyst – Associate to work with them on a contract basis to capture, record, reconcile and maintain a master data set.

The responsibilities of a Data Analyst – Associate will include:

Data Queries and Management: Craft and execute data queries upon request, maintaining consistent master data across all necessary platforms including DealCloud and various other databases. You will be expected to resolve data inconsistencies and errors, performing root cause analysis when needed. Data Visualisation and Reporting: Utilise Tableau and Power BI to present information through insightful reports and visualisations. Moreover, the data analyst will be tasked to provide both standard and complex reporting based on a defined set of metrics. CRM System Optimisation: Gain a comprehensive understanding of our CRM System (DealCloud) and leverage this knowledge to optimise the system for better efficiency and user experience. Utilisation of Microsoft Tools: Employ Microsoft Power Apps, Power Automate, and SharePoint sites for automation, process optimisation, and improving data accessibility. Data Cleansing and Optimisation: Perform Tasks related to data cleansing and optimisation to ensure our master data is accurate, complete, and consistent at all times. Part of the Data Analyst role will also involve conducting regular data audits to uphold data accuracy and quality. Stakeholder Collaboration: Work closely with key business stakeholders and Group IT to capture, clarify and address data-related requirements and potential issues. Continuous Improvement: Identify areas of improvement in our data management practices.

The successful Data Analyst – Associate will have:

Bachelors Degree in Engineering, Data Science, Computer Science or related field. 2 -3 years of experience as a Data Analyst, Business Intelligence Analyst, CRM Data Analytics experience, or similar role (financial services or professional services domains preferred) Tableau Certification Required Strong SQL server knowledge and experience to perform effective querying. Expertise in CRM systems such as Salesforce/ DealCloud Advanced Proficiency in Microsoft Power Apps, Power Automate, Excel and SharePoint Sites Extensive experience in data analysis, data optimisation and data cleansing Strong experience in diagnosing data-related issues, with the ability to work through systems and interfaces to identify the root cause. Excellent communication skills, both verbal and written Ability to translate business needs into technical specifications Strong problem-solving skills and attention to detail Diligent work ethic, resourcefulness, ability to multitask and is team oriented

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

What Hiring Managers Look for First in AI Job Applications (UK Guide)

Hiring managers do not start by reading your CV line-by-line. They scan for signals. In AI roles especially, they are looking for proof that you can ship, learn fast, communicate clearly & work safely with data and systems. The best applications make those signals obvious in the first 10–20 seconds. This guide breaks down what hiring managers typically look for first in AI applications in the UK market, how to present it on your CV, LinkedIn & portfolio, and the most common reasons strong candidates get overlooked. Use it as a checklist to tighten your application before you click apply.

The Skills Gap in AI Jobs: What Universities Aren’t Teaching

Artificial intelligence is no longer a future concept. It is already reshaping how businesses operate, how decisions are made, and how entire industries compete. From finance and healthcare to retail, manufacturing, defence, and climate science, AI is embedded in critical systems across the UK economy. Yet despite unprecedented demand for AI talent, employers continue to report severe recruitment challenges. Vacancies remain open for months. Salaries rise year on year. Candidates with impressive academic credentials often fail technical interviews. At the heart of this disconnect lies a growing and uncomfortable truth: Universities are not fully preparing graduates for real-world AI jobs. This article explores the AI skills gap in depth—what is missing from many university programmes, why the gap persists, what employers actually want, and how jobseekers can bridge the divide to build a successful career in artificial intelligence.

AI Jobs for Career Switchers in Their 30s, 40s & 50s (UK Reality Check)

Changing career into artificial intelligence in your 30s, 40s or 50s is no longer unusual in the UK. It is happening quietly every day across fintech, healthcare, retail, manufacturing, government & professional services. But it is also surrounded by hype, fear & misinformation. This article is a realistic, UK-specific guide for career switchers who want the truth about AI jobs: what roles genuinely exist, what skills employers actually hire for, how long retraining really takes & whether age is a barrier (spoiler: not in the way people think). If you are considering a move into AI but want facts rather than Silicon Valley fantasy, this is for you.