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У роли понятная область аналитики, заметная работа с заинтересованными командами и сочетание клиентских и коммерческих задач, хотя кроме SQL конкретные инструменты и уровень самостоятельности описаны не полностью.
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Текст:
Hirify AI/Оригинал
TL;DR
Analytics Manager (SQL/Customer Analytics): Delivering end-to-end customer and commercial analysis for VodafoneThree’s Consumer team with an accent on proposition performance, retention, channel performance, and data quality. Focus on combining customer, usage, revenue, and market research data, translating complex findings into recommendations, and influencing senior stakeholders through clear storytelling.
Location: London, United Kingdom; hybrid working with office attendance 2–3 days per week and at least 8 days per month
Company
hirify.globalThree is building a UK connectivity network and developing consumer products, services, propositions, and data-driven customer experiences.
What you will do
Own the end-to-end analysis approach for squad priorities, translating business questions into insight, recommendations, and measurable actions.
Partner with analytics leads and commercial stakeholders to identify opportunities across proposition adoption, customer satisfaction, value, retention, and channel performance.
Combine customer, commercial, channel, usage, revenue, and market research data to assess customer behaviour and business performance.
Deliver accurate, repeatable analysis using clear assumptions and best-practice coding standards.
Quality assure data, methodology, and outputs while identifying risks, gaps, and inconsistencies.
Communicate findings to technical and non-technical audiences and collaborate across Consumer, Enterprise, commercial, research, operational, and analytics teams.
Requirements
Proven experience delivering customer or commercial insight from large datasets.
Strong SQL skills.
Experience with data visualisation tools such as Power BI, Qlik, or Tableau.
Strong analytical judgement, including data quality assurance, trend identification, and explaining performance drivers.
Ability to translate complex analysis into clear, practical recommendations for senior stakeholders.
Commercial curiosity and ability to connect customer behaviour, channel performance, revenue, and retention outcomes.
Comfort working collaboratively across analytics, commercial, research, and operational teams.
Degree education or equivalent relevant experience.
Nice to have
Experience with Python, R, or SAS.
Culture & Benefits
Full-time schedule of 37.5 hours per week, Monday to Friday.
Hybrid working with flexibility to agree office expectations with the line manager.
Basic salary plus bonus, hirify.global benefits, up to 28 days of annual leave plus bank holidays, and paid charity time.
Benefits include discounts, vouchers, pension, learning tools, parental leave, and wellbeing services.
Employment offers are subject to criminal (DBS) and financial background checks due to Financial Conduct Authority regulation.
Hiring process
Recruitment may include online assessments; reasonable adjustments are available on request.
Interview candidates are expected to demonstrate their own knowledge, skills, experience, creativity, and achievements without relying on AI-generated responses.
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