Service Reporting Manager

Cardiff
6 days ago
Create job alert

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

Related Jobs

View all jobs

Data Analyst

Senior Data Services Manager

Digital Trading Manager

Digital Trading Manager

Digital Trading Manager

Client Relationship Manager, Office Based

Get the latest insights and jobs direct. Sign up for our newsletter.

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

Industry Insights

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

Top 10 Books to Advance Your Machine Learning Career in the UK

Machine learning (ML) remains one of the fastest-growing fields within technology, reshaping industries across the UK from finance and healthcare to e-commerce, telecommunications, and beyond. With increasing demand for ML specialists, job seekers who continually update their knowledge and skills hold a significant advantage. In this article, we've curated ten essential books every machine learning professional or aspiring ML engineer in the UK should read. Covering foundational theory, practical implementations, advanced techniques, and industry trends, these resources will equip you to excel in your machine learning career.

Navigating Machine Learning Career Fairs Like a Pro: Preparing Your Pitch, Questions to Ask, and Follow-Up Strategies to Stand Out

Machine learning (ML) has swiftly become one of the most in-demand skill areas across industries, with companies leveraging predictive models and data-driven insights to solve challenges in healthcare, finance, retail, manufacturing, and beyond. Whether you’re an early-career data scientist aiming to break into ML, a seasoned engineer branching into deep learning, or a product manager exploring AI-driven solutions, machine learning career fairs offer a powerful route to connect with prospective employers face-to-face. Attending these events can help you: Network with hiring managers and technical leads who make direct recruitment decisions. Gain insider insights on the latest ML trends and tools. Learn about emerging job roles and new industry verticals adopting machine learning. Showcase your interpersonal and communication skills, both of which are increasingly important in collaborative AI/ML environments. However, with many applicants vying for attention in a bustling hall, standing out isn’t always easy. In this detailed guide, we’ll walk you through how to prepare meticulously, pitch yourself confidently, ask relevant questions, and follow up effectively to land the machine learning opportunity that aligns with your ambitions.

Common Pitfalls Machine Learning Job Seekers Face and How to Avoid Them

Machine learning has emerged as one of the most sought-after fields in technology, with companies across industries—from retail and healthcare to finance and manufacturing—embracing data-driven solutions at an unprecedented pace. In the UK, the demand for skilled ML professionals continues to soar, and opportunities in this domain are abundant. Yet, amid this growing market, competition for machine learning jobs can be fierce. Prospective employers set a high bar: they seek candidates with not just theoretical understanding, but also strong practical skills, business sense, and an aptitude for effective communication. Whether you’re a recent graduate, a data scientist transitioning into machine learning, or a seasoned developer pivoting your career, it’s essential to avoid common mistakes that may hinder your prospects. This blog post explores the pitfalls frequently encountered by machine learning job seekers, and offers actionable guidance on how to steer clear of them. If you’re looking for roles in this thriving sector, don’t forget to check out Machine Learning Jobs for the latest vacancies across the UK. In this article, we’ll break down these pitfalls to help you refine your approach in applications, interviews, and career development. By taking on board these insights, you can significantly enhance your employability, stand out from the competition, and secure a rewarding position in the world of machine learning.