Business Intelligence Lead

Quickline Communications
Hu106Dn, United Kingdom
3 weeks ago
Applications closed

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Benefits

25 days annual leave + bank holidays, birthday, house move, and wedding day off 5% employer / 5% employee pension contribution Health Cashback Scheme High Street Shopping Discount Scheme Free Parking on site Regular ‘Lunch & Learns’ Social Events – Summer and End of Year parties Enhanced Paternity/Maternity/Adoption leave Option to buy or sell up to 5 days annual leave

Business Intelligence Lead

We’re Quickline, and we believe everyone deserves great internet. Whoever you are, wherever you are and whatever you do online - our customers are at the heart of everything we do. So we’re on a mission to provide lightning fast, reliable broadband that reaches the places other providers leave behind.

Our mission relies on a team full of inspiring, customer obsessed people, and we’re looking for a Business Intelligence Lead to own and evolve our Power BI reporting suite, turning data into clear, trusted and actionable insight across the business.

Could that be you? If designing PowerBI dashboards gets you out of bed in the morning, and creating insight led reporting puts a smile on your face then we would love to find out more about you.

Here’s why you’ll love this role…

- You will own and shape a modern Power BI reporting ecosystem used across the business

- Define best practice for dashboard design, usability and insight storytelling

- Work closely with senior stakeholders to influence decisions through data

- Build scalable, self-serve reporting that reduces ad-hoc requests

- Partner with Data Engineering to create robust, trusted data models

- Have the freedom to innovate and raise the bar for BI across the organization

Here’s why you’ll be great in this role…

- You already have advanced expertise in PowerBI (data modeling, DAX, performance modeling, UX design)

- Experience building scalable, user focused BI / reporting solutions, using your creativity in data visualisation and problem solving

- Your communication and stakeholder management skills are excellent

- You have experience working closely with data engineering or data platform teams

The benefits…

- Pension – 5% employer / 5% employee contribution.

- Health Cashback Scheme – Can claim back prescription, GP and optician charges, therapy allowance, private outpatient consultations, EAP, 24/7 remote GP service, member discounts.

- 25 days annual leave + bank holidays, your birthday, house move and wedding day off.

- Option to buy or sell up to 5 days annual leave

- Enhanced Paternity/Maternity/Adoption leave

- High Street Shopping Discount Scheme - Holidays, food and drink, insurance, sport, tech, high street, Ikea, M&S, cinema etc.

- Free Parking on site.

- Regular ‘Lunch & Learns’

- Social Events – Summer and End of Year parties etc.

- Core Values Awards - Regular opportunities to win!

Note to agencies –

Quickline have an internal recruitment team. We will not accept unsolicited CVs from any source other than directly from a candidate via our Applicant Tracking System (“ATS”). Any unsolicited CVs sent to Quickline, via the Quickline careers email address, directly to Quickline employees or managers, will be considered Quickline property and Quickline are free to contact those prospective candidates directly with zero financial repercussions. For further information refer to our careers page.

#LI-Hybrid


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Where to advertise data science jobs UK in 2026: the specialist boards, communities and channels that actually reach senior and lead data science talent. Data science spans a broad and often misunderstood spectrum — from statistical modelling and experimental design through to machine learning engineering, product analytics and AI research. The strongest candidates identify firmly with specific subdisciplines and are frustrated by adverts that conflate data scientist with data analyst, business intelligence developer or machine learning engineer. General job boards produce high application volumes for data roles but consistently fail to match specialist data science profiles with the right opportunities. This guide, published by DataScienceJobs.co.uk, covers where to advertise data science roles in the UK in 2026, how the main platforms compare, what employers should expect to pay, and what the data says about hiring across different role types.