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Knowledge of Adobe Target, Adobe Analytics, taxonomy, digital asset management, content management systems (CMS), search engine optimization (SEO) and online/digital metrics using industry best practices.
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Use tools, including Google Analytics, heat maps, keyword relevancy tools, web quality assurance software, search engine optimization, and user data, to recommend new content development, and promotions, and which content to sunset based on inactivity.
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Apply data science expertise in machine learning, deep learning, statistics, text-mining/NLP, forecasting, and optimization to multiple analytics projects. Expertise with core data science languages (predominantly with Python, and nice to have R & Scala), experience working with Snowflake and other different database systems (such as SQL, NoSQL.
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Strong signal and information processing expertise (statistical signal processing, array processing, signal modeling, linear algebra, probability and random processes, optimization, tracking/data fusion, adaptive signal processing, digital signal processing, information theory.
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This Marketing analyst will help round out our data and analytics function by leveraging a number of data sources and multiple data practices from modeling to dashboarding to ensure data clarity, consistent tracking, and actionable insights are found.
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Abt Associates seeks a mid-level professional in Data Analytics with a background in data used by the United States Department of Health & Human Services (HHS) Centers for Medicare & Medicaid (CMS), Social Security Administration (SSA), Centers for Disease Control (CDC), or other HHS agencies.
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Drive business impact by identifying and acquiring or mining data from multiple and diverse sources for actionable insights (including digital session web data, Salesforce and other CRM/CDP/IAM platforms, Google Analytics and Google BigQuery, etc.
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Strong interest in digital marketing with knowledge of email marketing, mobile marketing, search engine optimization (SEO), search engine marketing (SEM)social media management, website optimization, and e-commerce.
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Solves business problems — Business to Consumer (B2C), Business to Business (B2B), quality operations, operations management, and automation — using Artificial Intelligence (AI) and data science techniques (Natural Language Processing (NLP), DL, ML, causal inference, predictive analytics, experimental design, and optimization.
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Conduct data management maturity assessments and identify pain points for including data quality, governance, architecture, analytics, metadata management, master data management.
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Review the latest developments in Search Engine Optimization, content trends, and consumer behavior with the web manager and agency team. Write and edit copy for accuracy, style, readability, search engine optimization, and appropriateness for the target audience, ensuring timely content production and distribution.
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By your actions, improve data quality and outcome for the data engineering, analytics and data science users and producers of data. New Balance is seeking a DataOps engineer in the Global BI, Data & Analytics team.
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Degree level qualification in a quantitative or Industrial Organizational Psychology, Management Information Systems, Business or Data Analytics or related qualifications, advanced level degree preferred.
$92,000 - $108,000 a yearFull-timeExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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2 years of business analytics or data science experience, preferably at a sportsbook or gaming provider. As a Trading Analyst, you’ll support our trading operations, data analysis, and reporting efforts to inform our results to identify key opportunity areas.
$74,880 - $112,320 a yearFull-timeExpandApply NowActive JobUpdated 27 days ago - UpvoteDownvoteShare Job
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Experience with the following tools: Hubspot, Ahrefs, Asana, Google Analytics, Google Search Console, FullStory, Confluence, Google Workspace (Docs, Slides, Sheets) Experience executing keyword research, and a discerning eye for search intent and ranking potential.
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