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Data and analytics manager

Theale
Cornerstone
Analytics manager
Posted: 23 March
Offer description

Job Description

Our Vision: Continue to be the leading UK mobile infrastructure services company.

Our Mission: To be famous for excellence in delivery, embracing transformation with our people and our customers at its heart.

We are at an exciting time in our company’s development. We've come a long way since we were first formed in 2012. From the rollout of new technologies and managing complex legislation affecting the industry, we are leading the conversation on innovation and developing sharper solutions to serve our customers better. We collaborate as a team to meet the high standards expected of us and demand the best of ourselves through our values.

Design and implement the data and analytics capability for New Business, ensuring accurate, timely, and actionable insights to enable strategic decisions, product performance tracking, and operational excellence. Own the data strategy, governance, and reporting frameworks that underpin the operating model.

What You’ll Do

* Define and maintain the data architecture for New Business, including integration with Core systems.
* Establish data governance, quality standards, and security compliance.
* Build and manage dashboards for OKRs, product performance, and enablement metrics.
* Partner with Product, Delivery, and Strategy teams to provide analytics for business cases and scaling decisions.
* Implement MVP data stack (BI tools, data pipelines) within 3 months.
* Automate reporting for key measures including lead time, cycle time, cost-to-serve, and CSAT/NPS.
* Drive continuous improvement in data processes and analytics capability.
* Ensure compliance with GDPR, InfoSec and other appropriate standards

What You’ll Bring

• Proven expertise in data architecture, BI, and analytics across B2B and telecoms.

• Strong understanding of CRM/CPQ, PPM, and ITSM data flows.

• Advanced skills in SQL, data modelling, and visualisation (Power BI, Tableau, Looker).

• Able to quickly turn business needs into clear, effective data solutions.

• Passionate about using AI to improve speed, cost, and quality of data outcomes.

• Delivers a scalable data vision with hands-on engineering capability.

• Deep experience in advanced analytics, predictive modelling, and machine learning.

• Skilled at integrating emerging AI tech to drive automation and innovation.

• Builds automated pipelines and leverages cloud platforms (Azure, AWS, GCP) with strong compliance knowledge.

• Strategic, pragmatic, and comfortable diving into detail when needed.

• Excellent stakeholder management, translating complex analytics into clear, actionable insight.

Why Join Us?

.

Reward & Recognition: Competitive salary and an excellent bonus structure.

Time to Recharge: 30 days’ annual leave.

Long Term Security: Competitive pension scheme and life insurance

Flexibility: Hybrid working to help you balance work and home life.

Health & Wellbeing: Private medical insurance including dental and optical cover.

Lifestyle Perks: Cycle to Work scheme, Electric Car scheme, and retail discounts.

Community & Growth: A generous refer a friend scheme.

Our commitment to Equity, Diversity, and Inclusion (EDI) is fundamental to our success. We strive to cultivate an inclusive environment where every employee feels valued, respected, and empowered. By embracing unique perspectives and experiences, we drive innovation and drive our organisation forward, therefore, we recognise the importance of welcoming applications from candidates of all backgrounds.

We want to ensure everyone is able to present their best self throughout the recruitment process so if you require any adjustments, please let us know.

If this role is of interest to you and you would like to find out more, please do apply with an up to date version of your CV.

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