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Understand and interrogate data via Google BigQuery (SQL) and Google Analytics (GA4). Expert-level experience with SQL to query, manipulate, and analyze data. Drive strategy and analytics across the business, with a focus on the following functional units: growth marketing, brand marketing, CRM, web merchandising, and UX.
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Work along with data science and marketing to build, improve, and apply customer lifetime value and marketing incrementality models. The analytics team also collaborates closely with the data science team, working together on model development and using algorithms to address core questions.
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When in the office, our employees enjoy our beautiful, dog-friendly workplace at the Philadelphia Navy Yard. What is Nuuly Analytics:The analytics team brings data-driven insights to functions across Nuuly, including buying/planning, logistics, finance, customer service, marketing, and user experience.
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Strong technical skills in Excel and data visualization tools; Looker and SQL experience preferred. As a member of Gopuff Ads, you will be integral in driving Sales Planning & Operations strategy including: pricing, revenue forecasting, goal setting, productivity, and GTM strategy as we continue scaling Gopuff Ads.
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Exposure to one or more data analysis packages or databases, e.g., SAS, R, SPSS, Python, VBA, SQL, Tableau. The marketing leadership at Agoda have deep experience in data science, product, strategy, and other marketing fields and have built an organization that thrives on data, creative ideas, and technology.
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Utilize SQL, Excel, and other relevant tools to conduct in-depth data analysis, identify potential risks, and develop strategies for mitigation. You should be able to thrive in a fast-paced, entrepreneurial environment, managing multiple projects to influence loss prevention, credit risk, and strategy development.
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Clearly communicate risk-related information using data visualization tools and reports. Collaborate with cross-functional teams and diverse stakeholders, providing data-driven insights to enhance risk management processes.
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Training and/or experience in some or all of data/coding languages/tools like SQL, Python, SAS, Tableau, Power BI or others. Develop reports and artifacts as needed for Data Strategy for part of the product/project.
$92,000 - $165,000 a yearFull-timeExpandUpdated Today - UpvoteDownvoteShare Job
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Challenging convention, it took some of the best talent from strategy, creative, media, design and the DTC world and put together a new way of working to bridge the gap between meaningful storytelling, data-led optimizations and commerce.
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Experience with the Azure Services and Data components: Container based solutions, Microservices, Streaming Solutions, Python & Spark Compute, Spark SQL, Azure Integration services, and ingestion tools such as ADF, Snowflake, ADL, and GenAI Cognitive capabilities.
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Skills: Proficiency in the Microsoft Office Suite, SQL, statistical analysis tools such as R or Python, and data visualization tools such as Tableau or Power BI (Tableau preferred). Work closely with other administrative teams including innovation, knowledge management, finance, strategy, client value, marketing, IT, operations, accounting, business managers, etc.
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The analytics team brings data-driven insights to functions across Nuuly, including buying/planning, logistics, finance, customer service, marketing, and user experience. Design & analyze tests to optimize Nuuly’s marketing budget, promotional strategy, and CRM campaigns.
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Sometimes you forget the milk at the store, run out of pet food for Fido, or just really need ice cream at 11 pm. We offer comprehensive medical, dental, and vision insurance, optional FSAs and HSA plans, 401k, commuter benefits, supplemental employee, spouse and child life insurance to all eligible employees.
$86,400 - $131,100 a yearExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience connecting Power BI to various data sources, including databases (e.g., SQL Server, Oracle, MySQL), Excel files, SharePoint lists, cloud services (e.g., Azure, AWS), and other sources of structured and unstructured data.
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As a Senior Director, your key responsibilities include: Data Strategy, Data Engineering, Cloud data platforms, Master Data Management, and Data Management. Ensure the alignment of the Commercial Application, platform and data strategy to the broader organizations' mission, strategy/objectives, capabilities, and processes using industry recognized well architecture patterns.
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