
Senior Data Analytics Architect (Remote - US) at Jobgether. This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Senior Data Analytics Architect in the United States.. We are seeking an experienced and strategic Senior Data Analytics Architect to design, implement, and optimize data solutions that empower business decisions across multiple stakeholders. In this role, you will transform complex datasets into reliable, actionable insights, build automated workflows, and develop advanced dashboards that enhance marketing and outreach strategies. You will collaborate closely with cross-functional teams including data engineering, technical solutions, and marketing, ensuring data quality, accessibility, and reliability. The ideal candidate combines strong technical expertise in cloud platforms, SQL, and Python with exceptional analytical and communication skills, capable of translating complex data into clear, actionable insights for executive leadership. This role also offers mentorship opportunities for junior analysts and the ability to influence data architecture at an enterprise scale.. . Accountabilities. . Build, automate, and maintain complex data workflows using GCP and Azure cloud environments.. . Develop and manage robust datasets, including web-behavior data from platforms such as GA4, to support marketing attribution, constituent insights, and funnel analysis.. . Design, create, and maintain dynamic dashboards and reports using Looker Studio, Power BI, and/or Tableau to provide real-time insights for stakeholders and executives.. . Conduct data auditing, quality assurance, and validation to ensure KPI accuracy, eliminate redundancies, and maintain cross-event data integrity.. . Collaborate with cross-functional teams to gather requirements, align data solutions with business objectives, and drive technical strategies.. . Mentor and guide junior analysts, improving team technical skills, data storytelling, and analytical capabilities.. . Present complex data insights and roadmaps to both technical and non-technical audiences, including senior leadership.. . . 5+ years of experience in marketing data science, data analytics, data architecture, or a related field.. . Advanced proficiency in SQL and Python for data analysis.. . Expertise with GCP (particularly BigQuery), including scheduled queries, partitioning, and batch optimization; experience with Azure cloud is a plus.. . Strong experience with analytics platforms like Google Analytics 4 (GA4) and working with raw web-behavior data.. . Proficiency in data visualization tools such as Looker Studio, Power BI, and/or Tableau.. . Experience with project management tools (e.g., Jira) and familiarity with agile frameworks (Scrum, Sprint Planning).. . Excellent leadership, communication, and problem-solving skills, with a proven ability to enhance data reliability and optimize processes.. . Ability to query and work with relational and non-relational databases.. . Preferred: Master’s degree in Statistics, Data Science, or related field, experience with MLOps, advanced statistical analysis, and familiarity with customer data platforms such as Growthloop or Tealium.. . . Company Location: United States.