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Senior Data Analyst
hackajob
- London, England, United Kingdom
- London, England, United Kingdom
À propos
Role Overview As a Senior Data Analyst, you’ll manage complex analytical projects end‑to‑end, presenting findings with confidence to senior internal and external stakeholders. You’ll help shape the future of analytics within DNA by adopting AI‑enabled workflows, upskilling the team and steering our transition toward more modern, scalable, data‑driven practices.
Key Responsibilities
Lead deep analytical projects to understand partner performance, value delivery and key drivers of change.
Build compelling narratives and insight packs that support renewals and strategic account plans.
Develop benchmarking, segmentation, diagnostics to spot performance gaps and improvement opportunities.
Align partner insight with DNA’s BI strategy by using consistent semantic layers and Looker models.
Champion data visualisation and storytelling to ensure insights are accessible, accurate and actionable.
Leverage emerging tools (AI‑assisted SQL, Python workflows, automated summarisation) to deliver deeper, faster insight.
Act as an AI Analytics Champion: design scalable, automated analytical workflows to improve efficiency and consistency.
Build strong relationships across Major Accounts, Sales, Product and other stakeholders to drive real business outcomes.
Uphold rigorous data quality, governance and security standards across all analytical work.
Mentor and support analysts—sharing best practice and raising the overall analytical capability across DNA.
Qualifications
5+ years of proven experience in analytics, insight or related quantitative roles in a fast‑paced, commercial environment.
Track record of delivering insight that influences senior stakeholders and drives tangible business outcomes.
Highly proficient in SQL, experienced with Looker Core (or similar BI tools) and practical Python or scripting skills.
Ability to translate data into commercial impact by showing how metrics drive growth or value for partners.
Excellent communication skills with the ability to present complex data clearly through compelling visualisation and narrative.
Comfortable working within a BI‑driven environment: familiar with semantic data layers, data governance, shared definitions and scalable BI tooling.
Curious, forward‑looking mindset eager to adopt emerging tools, AI‑enabled analytics and build future‑facing workflows.
Strong project ownership, able to manage multiple initiatives autonomously, prioritise under pressure and drive results.
Skilled at cross‑functional collaboration bridging analytics with business, sales, product, and partner teams.
Passion for data, curiosity about partner behaviour and genuine desire to help partners extract maximum value.
Willing to mentor and support other team members, contributing to team growth and high analytical standards.
Benefits
Competitive compensation package.
Hybrid working pattern – 2 days in the office.
Private medical insurance, pension and life insurance.
27 days holiday plus two paid volunteering days a year.
Travel loans, bike to work scheme, rental deposit loan.
Charitable contributions through payroll giving and donation matching.
Access deals and discounts on travel, electronics, fashion, gym memberships, cinema discounts.
Equal Opportunity As an Equal Opportunity Employer, Rightmove will never discriminate based on age, disability, sex, race, religion or belief, gender reassignment, marriage / civil partnership, pregnancy/maternity or sexual orientation.
By applying, you confirm that you’ve read and understood our Privacy Policy, which explains how we handle and protect your personal information during the recruitment process.
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Compétences linguistiques
- English
Avis aux utilisateurs
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