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Analytics Manager United Kingdom, London Jobs (Hybrid work)

5 Job Offers

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Audit Data Analytics Manager
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United Kingdom , London
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Not provided
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Eames Consulting
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Until further notice
Product Manager – Private Markets Secondaries Data & Analytics
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United Kingdom , London
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Not provided
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BlackRock Investments
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Customer Data Analytics Managing Consultant
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Lead our data consulting team in London, specializing in CX Data and AI strategy. You will transform complex data into actionable insights using tools like Power BI, guiding clients in marketing measurement and personalization. This role offers flexible working, a focus on well-being, and the cha...
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United Kingdom , London
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frog
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Analytics Manager - Interiors
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Lead a data-driven strategy for a top Interiors brand as their Analytics Manager. Based in London with hybrid flexibility (2 days office), you'll leverage Google Analytics and Tableau to create insights and dashboards. Your expertise will guide digital and consumer decisions across the business, ...
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United Kingdom , London
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40000.00 GBP / Year
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Blu Digital
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Manager, HR Talent Analytics, EMEA
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Lead our EMEA Talent Analytics team in London, transforming HR data into strategic insights. You will design Power BI dashboards, analyze workforce trends, and collaborate cross-functionally to foster a data-driven culture. Requires 3+ years in data analytics, strong Power BI/SQL skills, and offe...
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United Kingdom , London
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Marriott Bonvoy
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Find and apply for Analytics Manager jobs to lead the strategic use of data within modern organizations. An Analytics Manager is a pivotal leadership role responsible for transforming raw data into actionable business intelligence that drives decision-making, optimizes performance, and creates competitive advantage. Professionals in this field act as the crucial bridge between technical data teams and business stakeholders, ensuring that analytics efforts are aligned with core organizational goals and deliver measurable outcomes. Typically, the responsibilities of an Analytics Manager encompass overseeing the entire data lifecycle. This includes defining key performance indicators (KPIs), managing the collection and integration of data from various sources, and ensuring data quality and governance. A core function is to lead a team of data analysts, scientists, and engineers to build robust reporting systems, dashboards, and advanced analytical models. Beyond technical oversight, Analytics Managers are tasked with interpreting complex data findings, crafting compelling narratives, and presenting clear, actionable insights to executives and department heads to inform strategy. They often own the analytics roadmap, prioritizing projects that answer critical business questions, improve customer understanding, or streamline operations. To excel in Analytics Manager jobs, a specific blend of technical, business, and leadership skills is required. Technically, a strong foundation in data analysis tools (like SQL, Python, or R), data visualization platforms (such as Tableau or Power BI), and an understanding of database structures and statistics is essential. However, the role demands more than technical prowess. Successful managers possess sharp business acumen, allowing them to understand market dynamics, financial drivers, and operational challenges. They must be exceptional communicators, capable of translating technical jargon into business value for diverse audiences, from engineers to C-suite executives. Leadership skills are paramount for mentoring teams, managing projects, and fostering a data-driven culture. Common requirements for these positions include several years of experience in data analysis or a related field, prior people management experience, and a proven track record of using data to influence business decisions. Exploring Analytics Manager jobs opens doors to a career at the heart of digital transformation. It is ideal for those who are passionate about evidence-based leadership, enjoy solving complex problems, and want to directly impact their organization's strategic direction by unlocking the story within the data.

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