BI Data Analyst

Dreams Ltd; High Wycombe; On-site; GBP 40,000 - 55,000; Full time

Job summary

A leading company in the UK bed retail sector is seeking a BI Data Analyst to join their Insights & Analytics Team. The ideal candidate will leverage their expertise in Power BI and data analytics to transform reporting processes and provide actionable insights. This role requires strong relationship-building skills and the ability to manage multiple priorities in an agile environment. If you're passionate about data and keen to make a difference, this could be the perfect opportunity for you.

Qualifications

• Extensive experience in Power BI required.
• Ability to analyze demographic data for marketing.
• Experience with digital and marketing analytics.

Responsibilities

• Manage workstreams with end-to-end ownership.
• Design dashboards and reports on KPIs.
• Analyze data to support marketing targeting.

Skills

Power BI

Data Analytics

SEO

Agile

Tools

Tableau

GA4

Similar Web

Job description

At Dreams, we know your bed is the best place in the whole world. But for the hours between precious sleep, we`d like to make work a special place to be too. We`re the UK`s most loved bed retailer, so it`s important our people feel the love as well. There`s over 250 of us at our affectionately named `Bedquarters` in High Wycombe, Buckinghamshire, where every dreamer makes a difference.

We`re super passionate about our people-first culture, which means we like to keep things simple and celebrate every success, big or small! From a payday treats trolley to charity fundraisers and all-staff lunches, we know we do it best when we do it together.

And together we`ve been making bedtimes better since 1985, with no signs of hitting the snooze button. We`re owned by the world`s largest bedding provider, Tempur Sealy, and have our very own Bed Factory right here in the UK. You`ll even get a guided tour when you join, and that`s part of our mission to get you fully bed-ucated during your induction.

With 208 stores nationwide, 6 central warehouses, and 12 delivery centres, we sell 14,000 mattresses, bases, and headboards every week. Now that`s a lot of Zzzs.

So if you`re bonkers about bed, silly for siestas, and keen on your kip, we think Dreams could be the perfect place for you.

Dreams. Love your job.

We`re looking for a new BI Data Analyst to join our Insights & Analytics Team based in Loudwater, Buckinghamshire. In this role, you will be part of a dynamic and highly acclaimed Insight & Analytics team. The role is expected to leverage extensive experience and advanced expertise in Power BI to lead the reporting transformation from legacy systems.

You will also be responsible for building strong relationships with multiple decision-makers in the business and supporting them via actionable insights & reporting. Key stakeholders include the digital and marketing teams, who rely on this role to identify opportunities and help navigate challenges.

Ready to skip the snooze button and get stuck in? Here`s a taste of what you`ll be doing day-to-day:

1. Independently managing workstreams; end-to-end ownership and accountability are norms in this role, so attention to detail is crucial.
2. Leveraging advanced expertise in Power BI to manage the transition of central reporting from Tableau to Power BI.
3. Effectively capturing business requirements, asking the right questions, and understanding the 'so what' to deliver insights that drive actions.
4. Proactively identifying reporting requirements and setting up visual reports to deliver key insights simply and effectively.
5. Designing dashboards and reporting on the right mix of KPIs, with a good understanding of Digital & Marketing analytics.
6. Working comfortably in an agile environment and managing multiple priorities.
7. Supporting other team members and functional areas as needed.
8. Supporting the E-Comm team in identifying opportunities & risks through effective reporting.
9. Analyzing Similar Web and GA4 data to help web performance outpace competitors across key channels.
10. Identifying SEO opportunities to improve organic visibility and optimize paid search ROI.
11. Analyzing demographic data to support marketing in targeting relevant customer segments.
12. Providing credible reporting & analysis on various initiatives to measure success.
13. Summarizing findings and telling the story through data, highlighting successes and improvement areas.
14. Deep diving into business questions using data analytics and producing actionable insights.
15. Enhancing UX via dashboards, aligning with stakeholder requirements & use cases.
16. Gathering, cleaning, and validating data from multiple sources for accurate reporting.