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Dunelm on cord

Dunelm

Self-Service Analytics Centre of Excellence Manager

77 Kingsway, London, UK
E-Commerce · Retail Technology
The Home of Homes
Active
12 hours ago
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Skills & Experience

Job roles: BI Developer
Experience level: Lead
Tech stack/tooling used: Management, Power BI, Technical Direction, Stakeholder Management, Artificial Intelligence
Core skills considered: Management, Power BI, Technical Direction, Stakeholder Management, Artificial Intelligence

Logistics

Base salary: Undisclosed
Some companies on cord are unable to disclose salaries publicly due to internal company policies. Message the company for salary information.
Employment type: Permanent
Remote working: Hybrid (up to 3 remote days p/w)
Visa sponsorship: Not available

Job Description

Self-Service Analytics Centre of Excellence Manager

Home. There's no place like it.

And there's no feeling like helping people create the joy of feeling truly at home. At Dunelm, that's what we do. We're the UK's number one choice for homewares because we make home life lovelier for our customers. And we've crafted a workplace that feels just as welcoming, where you can bring your ideas, be yourself, and feel right at home.

Work your way, together

We're a hybrid business, which means you'll have flexibility alongside time together with your team. In this role, you can expect 2 days per week in our Leicester or London office, helping you stay connected, collaborate and do your best work for our customers.

  • The Data and Analytics department is central to Dunelm’s Strategy in driving value from data through decision intelligence. The department comprises of 5 interconnected capabilities:

Future fit data platform– the enterprise data platform delivered by our core data engineering teams, providing a trusted, single version of business truth to drive value through data and decision intelligence.

Self-Service Analytics Centre of Excellence– the core team responsible for driving governed self-service analytics adoption across our organisation. The team maintains, enhances and develops our ThoughtSpot-led, AI-enabled analytics ecosystem, provides advice, guidance and support to our business community, and maintains a suite of centrally managed enterprise analytics products.

ABODE (Advanced Business Optimisation Engine)– A suite of interconnected Analytics and AI models powering high velocity, complex decisions across our organisation.

Optimisation Centre of Excellence– The core team responsible for supporting high value investment decisions across our organisation through bespoke, specialised analytics.

Customer Insights– A dedicated team of customer focused analysts, helping to drive customer obsessed decisioning through improved customer insight.

The role

The Self-Service Analytics Centre of Excellence Manager leads the capability responsible for enabling governed, scalable and trusted self-service analytics across Dunelm. Reporting to the Director of Data Engineering, the role owns the standards, adoption approach and capability development for self-service analytics across current and future tools, including ThoughtSpot, ensuring colleagues can confidently answer business questions and use insight to drive better decisions using high-quality data products, clear definitions and intuitive analytics experiences.

The role combines leadership, analytics product ownership, platform stewardship, stakeholder engagement, coaching and data literacy enablement. It is accountable for setting the operating model and governance approach for self-service analytics, while ensuring centrally managed BI products and self-service capabilities remain reliable, supportable and aligned to business priorities.

A key part of the role is to coach and mentor business colleagues so they can use self-service analytics confidently and effectively to answer business questions and drive better decisions. This includes helping colleagues frame the right business questions, interpret results, apply data storytelling, use test and learn approaches, and turn insight into clear actions. The role will also provide functional guidance and subject matter expertise to dedicated business partner analysts drawn from the Analytics teams where deeper analytical support is required.

Self-Service Analytics Strategy and Adoption

  • Define and lead the strategy for governed self-service analytics adoption across Dunelm, covering ThoughtSpot and other current or future analytics capabilities.
  • Create clear pathways for colleagues to self-serve, supported by training, coaching, guidance, office hours, standards and reusable examples.
  • Drive measurable improvements in analytics adoption, user confidence, data literacy and reduction of repeat manual reporting demand.

Leadership, Coaching and Business Enablement

  • Lead, coach and develop the Self-Service Analytics Centre of Excellence team, creating a high-performing, collaborative and business-focused capability.
  • Coach and mentor business colleagues in how to frame business questions, interpret data, tell clear data stories, test and learn through data, and turn insight into decisions and action.
  • Provide functional guidance and subject matter expertise to dedicated business partner analysts from the Analytics teams, helping ensure specialist analytical support is consistent, high quality and aligned to self-service analytics standards.
  • Build a culture of quality, curiosity, ownership, continuous improvement and trusted partnership with business, Product, Delivery, Data Engineering, Data Management and Analytics colleagues.

Analytics Product and Platform Stewardship

  • Own the standards and lifecycle for self-service analytics assets, including semantic models, dashboards, reports, ThoughtSpot Answers and Liveboards, and centrally managed BI products.
  • Ensure analytics products and tools are trusted, intuitive, performant, documented and aligned to agreed business definitions and governance controls.
  • Partner with Data Engineering and Data Management to improve semantic model quality, metadata, lineage, certification and reusable metric definitions across self-service analytics capabilities.

Stakeholder Engagement and Governance

  • Act as the senior point of contact for self-service analytics, helping business teams understand how to use analytics safely, effectively and consistently.
  • Work with Product, Delivery and Analytics colleagues to shape demand, prioritise high-value opportunities and determine the right balance between self-service enablement, centrally delivered BI outcomes and specialist analysis.
  • Champion governed analytics by embedding clear standards for access, certification, documentation, quality, supportability and responsible use.

What we'll look for in you

Essential skills and experience

•Strong leadership capability, with experience managing, coaching and developing analysts, BI specialists or data professionals.

•Experience coaching, mentoring and enabling business colleagues to use analytics confidently, frame questions effectively, interpret results and turn insight into better decisions.

•Experience leading BI, analytics enablement or self-service analytics capabilities in a complex organisation.

•Strong understanding of governed self-service analytics across multiple tools and capabilities, including adoption, enablement, standards, training and support models.

•Experience with ThoughtSpot or comparable self-service BI platforms, with the ability to set direction and standards for semantic models, dashboards, reports or equivalent analytics assets.

•Strong understanding of analysis methods, data storytelling, test and learn approaches, interpretation of results and how analytics can be used to answer business questions and drive better decisions.

•Strong understanding of semantic models, dimensional modelling, reusable metrics, metadata and governed business definitions.

•Ability to translate business priorities into analytics roadmaps, delivery plans and clear team priorities.

•Excellent stakeholder engagement skills, with the ability to influence senior stakeholders and explain complex data concepts clearly to non-technical colleagues.

•Strong governance mindset, including awareness of access control, certified content, documentation, data quality and supportability standards.

•Commercial awareness and ability to focus analytics capability on measurable business value, adoption, decision improvement and action.

•Ability to create a collaborative, inclusive and high-performing team culture.

Desirable skills

•Hands-on experience administering, developing or optimising ThoughtSpot content, including semantic models, Answers, Liveboards, permissions and certified content.

•Experience working across multiple analytics and BI tools, with the ability to determine which capability is most appropriate for different business needs.

•Experience working with Snowflake or another cloud data platform, including awareness of performance, cost and platform consumption considerations.

•Experience leading BI migration, simplification or rationalisation activity, particularly where moving from traditional reporting to governed self-service analytics.

•Experience establishing communities of practice, coaching frameworks or shared standards that help business colleagues build confidence and capability in using analytics.

•Exposure to AI-assisted analytics, natural language BI or metadata-driven analytics experiences.

•Retail analytics experience or experience supporting analytics adoption in a large, multi-functional organisation.

Key qualities, behaviours and values

  • Stronger Together– connecting and team working.
  • Keep Listening and Learning– being curious and adapting.
  • Thinking Long Term– customer-first mindset and thinking big.
  • Acts Like an Owner– taking responsibility and delivering results.

Company Benefits

Holiday:
  • 25 days holiday + bank holidays
  • Birthday off
  • Moving day off
  • Charity day off
  • Holiday buy scheme
Health & Wellness:
  • Sharesave scheme
  • Access to the support of the Retail Trust for health and wellbeing
  • Private Healthcare
Discounts & schemes:
  • Performance Bonus
  • Gym membership
  • Cycle to work scheme
  • Childcare vouchers
  • Access to 100s of discounts with top brands and retailers
Family-friendly:
  • Training and development
  • Competitive pay
  • 15% colleague discount on our massive range of goods, plus double discount days and sample sales
  • Internal recognition programme

Interview Process

  • Recruiter phone call (15-30 mins)
  • 1st video interview (1 hour)
  • Case study interview (1.5 hours)
  • Behavioural interview (1 hour)
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Tech Recruitment Partner
Active 12 hours ago
Conor on cord
Self-Service Analytics Centre of Excellence Manager at Dunelm
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Starling Bank on cord

Starling Bank

Full Stack Engineer (ML Ops)

London, UK
FinTech · Banking · Finance
A better bank for everyone
Active
over 6 months ago
Responds to
0% of requests
Responds in
1h 55m
Requests
7 pending

Skills & Experience

Job roles: Full Stack
Experience level: Mid, Senior
Core skills considered: Java, React, Redux, AWS, JavaScript

Logistics

Base salary: £70K - £110K
Employment type: Permanent
Remote working: Hybrid (up to 2 remote days p/w)
Visa sponsorship: Not available

Job Description

Starling is the UK’s first and leading digital bank on a mission to fix banking! Our vision is fast technology, fair service, and honest values. All at the tap of a phone, all the time.

Starling is the UK’s first and leading digital bank on a mission to fix banking! We built a new kind of bank because we knew technology had the power to help people save, spend and manage their money in a new and transformative way.

We’re a fully licensed UK bank with the culture and spirit of a fast-moving, disruptive tech company. We’re a bank, but better: fairer, easier to use and designed to demystify money for everyone. We employ more than 3,000 people across our London, Southampton, Cardiff and Manchester offices.

Our technologists are at the very heart of Starling and enjoy working in a fast-paced environment that is all about building things, creating new stuff, and disruptive technology that keeps us on the cutting edge of fintech. We operate a flat structure to empower you to make decisions regardless of what your primary responsibilities may be, innovation and collaboration will be at the core of everything you do. Help is never far away in our open culture, you will find support in your team and from across the business, we are in this together!

The way to thrive and shine within Starling is to be a self-driven individual and be able to take full ownership of everything around you: From building things, designing, discovering, to sharing knowledge with your colleagues and making sure all processes are efficient and productive to deliver the best possible results for our customers. Our purpose is underpinned by five Starling values: Listen, Keep It Simple, Do The Right Thing, Own It, and Aim For Greatness.

Hybrid Working

We have a Hybrid approach to working here at Starling - our preference is that you're located within a commutable distance of one of our offices so that we're able to interact and collaborate in person. We don't like to mandate how much you visit the office and work from home, that's to be agreed upon between you and your manager.

Our Data Environment

Our Data teams are excited about the value of data within the business, powers our product decisions to improve things for our customers and enhance effective and agile decision making, regardless of what their primary tech stack may be. Hear from the team in our latest blogs or our case studies with Women in Tech.

We are looking for talented data professionals at all levels to join the team. We value people being engaged and caring about customers, caring about the code they write and the contribution they make to Starling. People with a broad ability to apply themselves to a multitude of problems and challenges, who can work across teams do great things here at Starling, to continue changing banking for good.

Requirements

We have built our entire banking platform in house and mostly in Java. We are looking for people who want to work on building the tooling that is used by our engineers on a daily basis.

We are looking for people who are truly full stack, and are as comfortable polishing their javascript front end as they are debugging the innards of their java applications database interactions, or standing up infrastructure with terraform. We are looking for people who can:

  • Design REST apis.
  • Code backend services, ideally using Java, or another other server side compiled language.
  • Develop modern front ends, ideally using React and Redux.
  • Get their code into the cloud and support it there, ideally on AWS.
  • Believe in clean coding, simple solutions, automated testing and continuous deployment.
  • Like to take ownership of a feature from the original idea through to live.
  • Think (like us) that a small number of empowered developers is the right way to deliver software.

Company Benefits

  • 33 days holiday (including flexible bank holidays)
  • An extra day’s holiday for your birthday
  • 16 hours paid volunteering time a year
  • Part-time and/or flexible hours available for most roles
  • Salary sacrifice, company enhanced pension scheme
  • Life insurance at 4x your salary
  • Hybrid/remote working
  • Private Medical Insurance with VitalityHealth including mental health support and cancer care. Partner benefits include discounts with Waitrose, Mr&Mrs Smith and Peloton
  • Generous family-friendly policies
  • Varied social groups set up and run by our employees
  • Perkbox membership giving access to retail discounts, a wellness platform for physical and mental health, and weekly free and boosted perks
  • Access to initiatives like Cycle to Work, Salary Sacrificed Gym partnerships and Electric Vehicle (EV) leasing

Full details are available on our careers site

Interview Process

Interviewing is a two way process and we want you to have the time and opportunity to get to know us, as much as we are getting to know you! Our interviews are conversational and we want to get the best from you, so come with questions and be curious. In general you can expect the below, following a chat with one of our Talent Team:

  • Stage 1 - 30 mins with one of the team
  • Stage 2 - Take home challenge
  • Stage 3 - 90 mins technical interview with two team members
  • Stage 3 - 45 min final with an executive and a member of the people team
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