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

Apply Now

Service Reporting Manager

Cardiff
8 months ago
Applications closed

Related Jobs

View all jobs

Senior Data Engineering Manager

Program Manager, R&D DP&TS Platform and Data Engineering

Hybrid Claims & Underwriting Data Analyst - Analytics

Administrator & Data Analyst

Lead Data Engineer

Information Officer/ Data Analyst

Service Reporting Manager

About Us:
We are the tech company with people at heart.

At Advania, we believe in empowering people to create sustainable value through the clever use of technology. As one of Microsoft's leading partners in the UK, specialising in Azure, Security, Dynamics 365, and Microsoft 365, we have a proven track record of success in delivering transformational IT services.

Position Overview:
As a Service Reporting Manager, you will play a pivotal role in the operational running of the Service Management Office (SMO) based in Cardiff. In this position you will have an important role in transforming raw data into valuable insights that drive strategic decision-making across our Unified Communications services. You will also play an important role in identifying trends, forecasting outcomes and ensuring the company's strategic objectives are met.

You will also be the line manager to one Data Analyst.

Responsibilities:
Some of your day-to-day responsibilities will include:
Translating stakeholder requirements into impactful reporting deliverables
Taking ownership of creating dashboards and generating complex reports
Collaborating closely with the Head of Department to shape the reporting strategy
Leading and managing the performance of the reporting team
Developing key performance metrics to track success
Participating in evaluating innovative technologies to enhance data storage and usage
Managing, developing, and delivering critical business and regulatory reports
Conducting thorough data validation and quality checks to ensure accuracy and consistency
Collaborating with internal teams and external stakeholders to resolve data issues
Identifying and implementing process improvements to enhance reporting efficiency
Monitoring key performance indicators (KPIs) to ensure alignment with the company's strategic goals
Upholding high data quality standards by overseeing new data inputs and conducting regular audits
Ensuring the confidentiality and integrity of data through robust governance policies
Analysing business processes and systems performance to uncover opportunities for improvement Qualifications & Experience:

The right candidate for this role will have past professional experience working with Power BI.

Other desirable experience and attributes for this role include:
Knowledge of PowerApps
Knowledge of Power Automate
SQL knowledge
Dataverse knowledge Click here for the list of benefits.

The budgeted salary for this role is up to £40,000 a year, depending on experience.

Please note you need to be eligible to undergo the UK security clearance (SC) process to be considered for this role. For this reason you will need to be a British national with 5 years residency in the UK.

Hybrid working:

This hybrid role, with a remote-first emphasis, necessitates being in the office or at a client site for 4 days each month. Each team within our organisation can decide how to implement this policy. If you have any questions after applying, please reach out to our recruitment team.

Our Selection Process:

We are committed to ensuring an equitable experience for all candidates, regardless of race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, or any other basis as protected by applicable law.

Please do let us know if you'll need any reasonable adjustments as part of the selection process by highlighting these on your application form.

As part of our commitment to our clients we will need to carry out background checks, including a criminal record check, for all offers of employment. If you have any unspent criminal convictions or questions about the screening process, please notify your recruiter once the application has been submitted.

#LI-Hybrid

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.

Machine Learning Hiring Trends 2026: What to Watch Out For (For Job Seekers & Recruiters)

As we move into 2026, the machine learning jobs market in the UK is going through another big shift. Foundation models and generative AI are everywhere, companies are under pressure to show real ROI from AI, and cloud costs are being scrutinised like never before. Some organisations are slowing hiring or merging teams. Others are doubling down on machine learning, MLOps and AI platform engineering to stay competitive. The end result? Fewer fluffy “AI” roles, more focused machine learning roles with clear ownership and expectations. Whether you are a machine learning job seeker planning your next move, or a recruiter trying to build ML teams, understanding the key machine learning hiring trends for 2026 will help you stay ahead.

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

Summary: UK machine learning hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise shipped ML/LLM features, robust evaluation, observability, safety/governance, cost control and measurable business impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for ML engineers, applied scientists, LLM application engineers, ML platform/MLOps engineers and AI product managers. Who this is for: ML engineers, applied ML/LLM engineers, LLM/retrieval engineers, ML platform/MLOps/SRE, data scientists transitioning to production ML, AI product managers & tech‑lead candidates targeting roles in the UK.

Why Machine Learning Careers in the UK Are Becoming More Multidisciplinary

Machine learning (ML) has moved from research labs into mainstream UK businesses. From healthcare diagnostics to fraud detection, autonomous vehicles to recommendation engines, ML underpins critical services and consumer experiences. But the skillset required of today’s machine learning professionals is no longer purely technical. Employers increasingly seek multidisciplinary expertise: not only coding, algorithms & statistics, but also knowledge of law, ethics, psychology, linguistics & design. This article explores why UK machine learning careers are becoming more multidisciplinary, how these fields intersect with ML roles, and what both job-seekers & employers need to understand to succeed in a rapidly changing landscape.