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The Client Analyst is responsible for survey design, data evaluation, and development of in-depth insights tied to client business challenges. The Analyst creates compelling data-driven stories showing trends and improvement opportunities for our clients' business practices.
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The Client Analyst works closely with clients to understand their business goals and identify data and research requirements for decision-making. Experience with analytics tools such as SPSS, Tableau, R, OData, Excel, Power BI.
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Hands-on experience with data visualization tools (e.g. Looker/Tableau), Excel/GSheets and SQL. Experience extracting insights from paid marketing tools (e.g. Google Ads), marketing analytics and tracking tools (e.g. Google Analytics, Google Tag Manager), and search and SEO tools (e.g. GSC, SEMRush, Ahrefs.
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Familiarity with reporting and automation including the data visualization tools Power BI and/or Tableau. 3-5+ years quantitative analysis experience with a focus on marketing analytics with experience in Paid Search, SEO, Affiliate, Email, Direct Mail, and/or Display marketing data.
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We are looking for an experienced Data Analyst to join the Buyer Taxonomy and Site Navigation team to assess the opportunity and measure the impact of projects related to changing the browse navigation experience on eBay. Your focus will be supporting various product launches to measure the impact on customer behavior and SEO (search engine optimization.
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Expertise with business intelligence and/or data visualization tools such as Tableau, MicroStrategy, etc. 10+ years of experience as a business analyst, data scientist, or related field.
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Experience with Excel or Tableau (data manipulation, macros, charts and pivot tables) Writing compelling narratives from data analysis to illuminate marketing impacts and customer behaviors, enhancing strategic decision-making and storytelling in marketing initiatives.
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Experience with data visualization tools preferred (Spotfire, Tableau) AI Analyst & Data Scientist. ; Search (Google Adwords, Kenshoo, etc.) Strong working knowledge of data mining algorithms including machine learning techniques (decision trees, clustering, regression, Bayesian models, probability networks, etc.
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They should deeply understand Google’s data platforms, including GA4, Google Ads, Google Campaign Manager, Google Tag Manager/Tealium, Google Search Console, and Looker Studio. Create dashboards in Looker Studio and Tableau using data from Google platforms to track website and digital advertising performance.
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Some technical knowledge of databases, data warehousing, B.I. (i.e. Tableau, Google Data Studio) and data tools desirable. 2+ years of experience developing measurement and reporting methodologies for Paid Search, Display and Social Media campaigns.
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We’re looking for a Senior Media Analyst who is data-driven, marketing-minded, and knows the paid search and media landscape. As a Senior Media Analyst, you’ll dig into data and find actionable insights that improve campaign performance while working with a global team to execute enhancements and measure results.
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Proficiency in data visualization tools (e.g., Tableau, Power BI, Data Studio) is a plus. As a Digital Marketing Analyst, you will collaborate closely with the paid media teams to deliver data-driven insights and strategies that maximize ROI and drive business growth.
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Utilize SQL, Tableau, MS Office, or just simple Google search to identify gaps, discrepancies, and possible enhancements, so the data continues to be relevant and comprehensive, and meet quality standards.
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Job Title: Data Analyst V. Excellent SQL skills as well as experience with common data and statistical toolkits such as R, Python, PySpark etc. Transform scientific/data analysis and communicate business performance in a clear and insightful way to the product teams to facilitate timely and informed decision-making.
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It goes without saying (but we’ll say it anyway) that you’ve worked on a multitude of different kinds of projects across all channels (especially social and search) and that you have skills with tools and technologies that are nothing short of jaw-dropping: Excel, SQL, web analytics (especially Google Analytics, but also Segment), data-viz and BI (Looker preferred, but Tableau and PowerBI are good substitutes.
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