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Analyst, Commercial Analytics Jobs

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Commercial Financial Analyst
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Ireland , Cork
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NetApp
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Commercial Analyst
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United Kingdom , Stratford
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360 Resourcing Solutions
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Senior Margin Analyst
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United Kingdom , Hove
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44800.00 GBP / Year
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EDF UK
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Business System Analyst
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Canada , Mississauga
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90000.00 - 110000.00 / Year
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Greenfield Global
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Marketing Growth Analyst
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Netherlands , Amsterdam
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Catawiki
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Pricing Analyst
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United Kingdom , Surrey
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Hedera Hiring Ltd
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Technology M&A Analyst
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Germany , Berlin
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Clipperton
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Technology M&A Analyst
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Germany , Munich
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Clipperton
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Commercial Analyst
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United States , Plymouth
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Robert Half
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Cost Analyst
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United Kingdom , Birmingham
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32000.00 GBP / Year
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Ganymede
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Revenue Management Analyst
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Spain , Tenerife
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Marriott Bonvoy
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Onboard Revenue Management Senior Analyst
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Italy , Genoa
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Costa Crociere S.p.A.
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Senior Credit Analyst
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Mexico , Ciudad De Mexico
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Citi
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Senior Credit Analyst - Banking
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Mexico , Ciudad De Mexico
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Citi
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Pricing Analyst Senior Associate, Uber Advertising
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United States , New York
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129000.00 - 143000.00 USD / Year
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The Muse
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Financial Analyst
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Bulgaria , Sofia; Varna
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myPOS
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Vice President - Credit Analyst - Commercial Lending Management
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Thailand , Bangkok
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Citi
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Senior Credit Risk Analyst
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Mexico , Ciudad De Mexico
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Citi
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Senior Credit Risk Analyst
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Mexico , Ciudad De Mexico
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Citi
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Israel , Ra'anana
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Hewlett Packard Enterprise
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Discover a world of opportunity in Analyst, Commercial Analytics jobs, a critical and growing field at the intersection of data science and business strategy. Professionals in these roles are the vital link between raw data and actionable commercial insights, empowering companies to make smarter, data-driven decisions that drive revenue, optimize marketing spend, and enhance customer engagement. If you have a passion for transforming complex datasets into clear strategic narratives, a career as a Commercial Analytics Analyst offers a dynamic and impactful career path. A Commercial Analytics Analyst typically serves as an internal consultant to sales, marketing, and business development teams. Their core mission is to interpret commercial performance and market trends to guide future strategy. Common responsibilities for individuals in these jobs include developing and maintaining automated dashboards and reports using Business Intelligence (BI) tools like Tableau or Power BI, allowing stakeholders to monitor key performance indicators (KPIs) in real-time. They are responsible for tracking campaign effectiveness, analyzing sales funnels, and investigating fluctuations in critical business metrics to identify root causes and opportunities. A significant part of the role involves fulfilling ad-hoc analytics requests, which requires slicing and dice data to answer specific business questions and presenting the findings in an easily consumable format for non-technical audiences. Furthermore, these analysts often work on forecasting models to predict sales trends or campaign delivery, ensuring the commercial organization can plan effectively and meet its targets. To succeed in these demanding jobs, a specific skill set is required. Technical proficiency is non-negotiable, with a strong command of SQL for querying large datasets being a fundamental must-have. Expertise in data manipulation and analysis using tools like Microsoft Excel is also essential. Analytical rigor is paramount; these professionals must possess a strong focus on data integrity and accuracy, coupled with exceptional problem-solving skills to navigate data discrepancies and uncover hidden patterns. Beyond the numbers, successful analysts have excellent communication and stakeholder management abilities, enabling them to translate technical data findings into useful business insights and build strong cross-functional relationships. A bachelor's degree in a quantitative field such as Business, Economics, Statistics, or Information Technology is a typical requirement for these positions. As you explore Analyst, Commercial Analytics jobs, you'll find a profession dedicated to turning data into a competitive advantage, making it an invaluable and sought-after role in any modern, data-centric organization.

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