Senior Data Analyst

4 weeks ago


Austin, United States augmentjobs Full time
Job DescriptionJob DescriptionJob Title: Senior Data Analyst

Job Summary: The Senior Data Analyst is responsible for leading data analysis initiatives to drive business insights and support decision-making. This role involves collecting, analyzing, and interpreting large datasets, identifying trends, and providing actionable recommendations to various stakeholders. The Senior Data Analyst plays a critical role in enhancing the organization's data-driven capabilities and ensuring that data insights align with strategic objectives.

Responsibilities:

  • Analyze complex datasets to identify patterns, trends, and correlations that inform business decisions.
  • Develop and maintain dashboards, reports, and data visualizations to communicate insights to stakeholders.
  • Collaborate with cross-functional teams to define data requirements and deliver accurate analyses.
  • Lead the design and implementation of data models and data pipelines for efficient data processing.
  • Conduct exploratory data analysis to identify new opportunities for business growth and optimization.
  • Ensure data accuracy and integrity by implementing data validation and quality assurance processes.
  • Present findings and recommendations to senior management, translating data insights into actionable business strategies.
  • Mentor junior analysts and contribute to the development of best practices in data analysis.

Qualifications:

  • Bachelor's degree in Data Science, Statistics, Computer Science, or a related field.
  • Minimum of 5-7 years of experience in data analysis, business intelligence, or a similar role.
  • Strong proficiency in data analysis tools and programming languages such as SQL, Python, or R.
  • Experience with data visualization tools like Tableau, Power BI, or similar.
  • Deep understanding of statistical analysis, data mining, and predictive modeling techniques.
  • Ability to work with large, complex datasets and derive meaningful insights.
  • Strong problem-solving skills and the ability to communicate complex data concepts clearly.
  • Experience with big data technologies and cloud platforms is a plus.
  • Excellent attention to detail and ability to manage multiple projects simultaneously.

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