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Executive Level / Information Technology Remote Python Linux Sql Jobs
Director of Analytics
recommendations and build scalable reporting frameworks Required Qualifications 7-8 years of experience in analytics, strategy, or business operations, preferably in B2B SaaS Proven experience managing and mentoring analysts Advanced proficiency in SQL...and Python, along with expertise in Excel and PowerPoint Hands-on experience with Salesforce and business intelligence tools like Tableau or Power BI MBA, MS in Analytics, or equivalent experience preferred
Advisory Solution Consultant
background in data engineering, including experience with ETL processes and data modeling Familiarity with integration technologies such as REST APIs, SOAP, and data pipelines Experience with programming languages and technologies such as JavaScript, SQL..., and Python Exposure to technologies like Robotic Process Automation (RPA) and Generative AI is a plus
VP of Marketing Analytics
Qualifications Bachelor's or Master's degree in a quantitative field such as Marketing Analytics, Statistics, or Economics 8+ years of experience in marketing or business analytics, with at least 5 years in a senior leadership role Expertise in SQL..., Python, advanced Excel, and at least one data visualization platform Proven experience in omnichannel marketing environments Strong organizational skills with the ability to manage multiple projects simultaneously
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AI Data Scientist
maintaining Company analytics and AI roadmap Required Qualifications Bachelor's Degree in computer science, electronics engineering, or related technical discipline Minimum of 5 years of progressive work experience in Data Science Experience with Power BI, SQL..., Python, or other programming languages Experience in developing machine learning algorithms and deploying them in Microsoft Azure Cloud services Proven track record of developing and deploying models in production
Head of Data Science
define and execute the long-term data strategy Required Qualifications 8+ years of experience in data science, with 4+ years in a leadership role Strong foundation in statistics, causal inference, experimentation, and modeling techniques Fluency in SQL...and Python; experience with modern data stacks Proven ability to influence executive-level decisions through analytical storytelling Experience in scaling data functions in fast-paced, product-led environments
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