Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

YWS Data Analyst - DaaS

Experis
Tadworth
9 months ago
Applications closed

Location: Tadworth Job Type: Permanent Industry: Engineering Job reference: 40674_1735914431 Posted: about 1 hour ago

Role:YWS Data Analyst - DaaS

Location:Tadworth but would consider a candidate further North if it is the right candidate.

Hybrid working:This would be hybrid working. Would consider a candidate further North if it is the right candidate but there would be a requirement of course to travel regularly to the office to engage with the team.

Salary:£32,000 approx

Job purpose:

To provide data analysis support services to the Project Management team of customer Data as a Service contracts (DaaS) To work with the MAP (Analytics Platform) and the Analytics team to ensure that we achieve 98% data availability in the contract.

Key Accountabilities / Responsibilities:

Detailed descriptions of the key areas of responsibility and decisions made by this position. Include the areas of authority for the role. Add estimated weighting to each area as this is important in the evaluation process (Min. 5%). Responsible for day to day management of the MAP system providing automated analytics for the DaaS contract (this does not involve managing the actual server instance or any hardware/software but rather the analytics being used) Identifying shortfalls in the analytics and reporting and working with the Analytics team to implement solutions Involved in testing solutions and upgrades to new analytics and new alerts Working with the YWS DaaS Project management team to identify and remedy issues with sensors that have data that is unavailable/unacceptable

Key Success Factors:

Key measures indicating the results, outcomes, or functions of this job. Describe how the performance of the position can be measured in terms of fulfilling its purpose. Ideally there should be 4-5 indicators which are specific and exclusive given their level within the hierarchy.

Helping the DaaS service team achieve at least 98% data availability Providing prompt and accurate identification of performance issues related to the sensors being managed under the contract Ensuring prompt and regular communication with the customer

Job Description

Posting, Reporting, and Work Relations Describe the primary stakeholders internally and externally in your organization, how this position is connected, and how they interact. It is recommended to create a visual of the organizational structure to support the description or to attach an existing organizational chart. Interacting and working with the Analytics team to manage and improve the measures and KPI's used in the YWS DaaS contract

Required Minimum Qualifications:

The minimum education, certifications, licenses, technical skills, knowledge, and experiences necessary for success in this position. Use the guide below.

Batchelors Degree in Mechanical Engineering or similar Engineering type degree No experience required - suitable for a first-time graduate 0 direct reports Some programming knowledge would be helpful. Either C#, SQL or Python/R-

Competencies:

The personal skills, qualities, behaviours, and attributes required to perform the job effectively. Initiative and willingness to take responsibility A drive to achieve and present excellent results A desire to develop your career withing a high-tech data-oriented company Demonstrable interest in analytics and data

People Source Consulting Ltd is acting as an Employment Agency in relation to this vacancy. People Source specialise in technology recruitment across niche markets including Information Technology, Digital TV, Digital Marketing, Project and Programme Management, SAP, Digital and Consumer Electronics, Air Traffic Management, Management Consultancy, Business Intelligence, Manufacturing, Telecoms, Public Sector, Healthcare, Finance and Oil & Gas.

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.

Data Science Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK data science hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise rigorous problem framing, high‑quality analytics & modelling, experiment/causality, production awareness (MLOps), governance/ethics, and measurable product or commercial impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for product/data scientists, applied ML scientists, decision scientists, econometricians, growth/marketing analysts, and ML‑adjacent data scientists supporting LLM/AI products. Who this is for: Product/decision/data scientists, applied ML scientists, econometrics & causal inference specialists, experimentation leads, analytics engineers crossing into DS, ML generalists with strong statistics, and data scientists collaborating with platform/MLOps teams in the UK.

Why Data Science Careers in the UK Are Becoming More Multidisciplinary

Data science once meant advanced statistics, machine learning models and coding in Python or R. In the UK today, it has become one of the most in-demand professions across sectors — from healthcare to finance, retail to government. But as the field matures, employers now expect more than technical modelling skills. Modern data science is multidisciplinary. It requires not just coding and algorithms, but also legal knowledge, ethical reasoning, psychological insight, linguistic clarity and human-centred design. Data scientists are expected to interpret, communicate and apply data responsibly, with awareness of law, human behaviour and accessibility. In this article, we’ll explore why data science careers in the UK are becoming more multidisciplinary, how these five disciplines intersect with data science, and what job-seekers & employers need to know to succeed in this transformed field.

Data Science Team Structures Explained: Who Does What in a Modern Data Science Department

Data science is one of the most in-demand, dynamic, and multidisciplinary areas in the UK tech and business landscape. Organisations from finance, retail, health, government, and beyond are using data to drive decisions, automate processes, personalise services, predict trends, detect fraud, and more. To do that well, companies don’t just need good data scientists; they need teams with clearly defined roles, responsibilities, workflows, collaboration, and governance. If you're aiming for a role in data science or recruiting for one, understanding the structure of a data science department—and who does what—can make all the difference. This article breaks down the key roles, how they interact across the lifecycle of a data science project, what skills and qualifications are typical in the UK, expected salary ranges, challenges, trends, and how to build or grow an effective team.