Data Analyst – London – Hybrid – 6 month FTC - £53,000 pro rata

Ashdown Group
London
2 months ago
Applications closed

Related Jobs

View all jobs

Data Engineer (18 Months FTC)

Data Engineer (18 Months FTC)

Data Engineer (SC Cleared)

Data Engineer (SC Cleared)

Data Analyst Placement Programme

Data Analyst Placement Programme

Data Analyst – London – Hybrid – 6 month FTC - £53,000 pro rata



Please read the following job description thoroughly to ensure you are the right fit for this role before applying.
SQL – Power BI - Python

 

A well established and growing business based in Central London (near Waterloo) are looking for a capable, confident Data Analyst with expertise in SQL and Power BI to join them on a 6 month FTC.

 

As the organisation’s sole Data Analyst, you will play a pivotal role in delivering the operational elements of the Data Strategy. Working closely with the Director of Technology and Data, you will help drive the transformation of how they use data, enhancing insight, decision-making and impact across the organisation.

 

The primary goal is to ensure that they have the technical capabilities and structures in place, to use data from across the business to maximise efficiency. You will lead the establishment and maturity of foundational components, including data governance, quality and process validation. You'll collaborate with business, technical and supplier teams, to advance automation, data warehousing and ethical AI capabilities.

 

You are responsible for implementing and governing the data architecture that empowers colleagues across the organisation to access and interpret trusted data independently. This fundamental work helps embed and scale a culture of self-service and data-led decision-making. Your contribution will ensure trusted, timely and actionable insights, that directly support strategic objectives, key metrics and required regulatory and funding reporting.

 

Key responsibilities of this Data Analyst role will include:

 

Insight and Reporting

 

Identify, scope and implement opportunities to automate manual processes and enhance the reporting architecture.

Implement and maintain the data architecture necessary to support the Insights and Policy teams, enabling them to produce strategic insights and reports.

Collaborate with colleagues who lead on reporting and insights to develop and promote a self-service reporting approach across the organisation.

Lead and drive the development of advanced analytics, including predictive and prescriptive models.

 

Data Governance and Quality

 

Own and drive the implementation of the data quality framework, including the design and maintenance of exception reports and priority status reporting.

Take a lead role in the development of the Data Governance Forum, coordinating with Data Owners and Stewards to proactively identify, flag and resolve complex data quality issues.

 

Systems and Integration Support

 

Work with IT and digital colleagues to validate data flows between systems, ensuring consistency and accuracy.

Help review and map key systems, processes and APIs, to support the development of a central data warehouse.

 

Analytics and Innovation

 

Lead and drive the development of advanced analytics, including predictive and prescriptive models.

Initiate and manage pilots of ethical AI and machine learning use cases within the data lake(s).

Identify, scope and implement opportunities to automate manual processes and enhance reporting efficiency.

 

To be suitable for this Data Analyst role you will have the following relevant experience:

 

Significant proven experience in a data analyst or business intelligence role.

Strong proficiency in tools such as SQL, Excel, Power BI, or similar dashboarding platforms.

Proven ability to independently lead and drive complex data projects and strategic initiatives with minimal supervision.

Demonstrable experience in mentoring or guiding junior team members or business stakeholders on data best practice.

Experience working with data validation, cleansing and reporting processes.

Exceptional communication and presentation skills, with a proven ability to articulate complex findings to both technical and non-technical audiences, ultimately influencing strategic decision-making at all organisational levels.

Experience with data warehousing or centralised reporting environments.

Strong attention to detail and problem-solving ability.

 

The salary on offer for this role is up to £53,000 pro rata. xrnqpay

 

 


Remote working/work at home options are available for this role.

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.

How Many Machine Learning Tools Do You Need to Know to Get a Machine Learning Job?

Machine learning is one of the most exciting and rapidly growing areas of tech. But for job seekers it can also feel like a maze of tools, frameworks and platforms. One job advert wants TensorFlow and Keras. Another mentions PyTorch, scikit-learn and Spark. A third lists Mlflow, Docker, Kubernetes and more. With so many names out there, it’s easy to fall into the trap of thinking you must learn everything just to be competitive. Here’s the honest truth most machine learning hiring managers won’t say out loud: 👉 They don’t hire you because you know every tool. They hire you because you can solve real problems with the tools you know. Tools are important — no doubt — but context, judgement and outcomes matter far more. So how many machine learning tools do you actually need to know to get a job? For most job seekers, the real number is far smaller than you think — and more logically grouped. This guide breaks down exactly what employers expect, which tools are core, which are role-specific, and how to structure your learning for real career results.

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

Whether you’re applying for machine learning engineer, applied scientist, research scientist, ML Ops or data scientist roles, hiring managers scan applications quickly — often making decisions before they’ve read beyond the top third of your CV. In the competitive UK market, it’s not enough to list skills. You must send clear signals of relevance, delivery, impact, reasoning and readiness for production — and do it within the first few lines of your CV or portfolio. This guide walks you through exactly what hiring managers look for first in machine learning applications, how they evaluate CVs and portfolios, and what you can do to improve your chances of getting shortlisted at every stage — from your CV and LinkedIn profile to your cover letter and project portfolio.

MLOps Jobs in the UK: The Complete Career Guide for Machine Learning Professionals

Machine learning has moved from experimentation to production at scale. As a result, MLOps jobs have become some of the most in-demand and best-paid roles in the UK tech market. For job seekers with experience in machine learning, data science, software engineering or cloud infrastructure, MLOps represents a powerful career pivot or progression. This guide is designed to help you understand what MLOps roles involve, which skills employers are hiring for, how to transition into MLOps, salary expectations in the UK, and how to land your next role using specialist platforms like MachineLearningJobs.co.uk.