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  •  Executive Level

Executive Level Remote Python Data Analyst Jobs

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  • Head of Data Science

    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

    Data Science Statistics Causal Inference Experimentation
  • Director of Service Excellence

    Key Responsibilities Oversee Patient Experience surveying, data analytics, and reporting Lead process improvement initiatives and manage a team of data analysts Analyze data to identify opportunities for enhancing patient experience and report findings

    Data Analytics Data Orchestration Predictive Modeling Process Improvement
  • Performance Marketing Data Analyst

    A company is looking for a Performance Marketing Data Analyst to aggregate, analyze, and interpret data to drive marketing strategies and improve campaign performance....analyst, preferably in a marketing or advertising setting Proficiency in data analysis tools like SQL, Python, and Google Analytics Experience with data visualization tools such as Power BI and Excel Strong understanding of data management and reporting

    Data Analysis Data Visualization SQL Python
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  • Lead Data Analyst

    A company is looking for a Lead Data Analyst, Sales Strategy & Finance.

    SQL BigQuery Dbt Tableau
  • Principal Data Analyst

    A company is looking for a Principal Data Analyst to join their Data Analytics team.

    Data Analysis Casualty Claims Data Visualization Tableau
  • Data Strategy Analyst

    A company is looking for a Data Strategy Analyst (remote).

    Power BI SQL Excel Jira
  • Staff Data Analyst

    A company is looking for a Staff Analyst, Forecasting. Key Responsibilities Lead the development of analytical capabilities to support various business areas and drive efficiency improvements Build and deliver regular executive-level updates, incorporating data trends and actionable

    Python R SQL Excel