Lead Data Analyst

1 month ago


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

Job Summary: The Lead Data Analyst will be responsible for overseeing the data analysis functions within the organization, providing leadership and strategic direction to a team of data analysts. This role involves leading complex data projects, developing advanced analytical models, and working closely with stakeholders to ensure data-driven decision-making. The Lead Data Analyst will also design and implement data-driven strategies, monitor key metrics, and deliver insights that drive business growth.

Responsibilities:

  • Lead and mentor a team of data analysts, ensuring the delivery of high-quality analysis and actionable insights.
  • Oversee the development and maintenance of advanced data models, dashboards, and reports to support strategic initiatives.
  • Collaborate with cross-functional teams, including finance, marketing, and operations, to understand data needs and provide analytical support.
  • Conduct in-depth analysis of large datasets to identify trends, patterns, and opportunities for business optimization.
  • Ensure data quality and integrity by implementing best practices in data governance and management.
  • Present findings, insights, and recommendations to senior leadership, translating complex data into clear, actionable strategies.
  • Drive the implementation of data-driven strategies, ensuring alignment with organizational goals and objectives.
  • Stay abreast of industry trends, emerging technologies, and best practices in data analysis and business intelligence.

Qualifications:

  • Bachelor's degree in Data Science, Statistics, Computer Science, Economics, or a related field; advanced degree or relevant certifications (e.g., Tableau, SQL, Python) are highly desirable.
  • 5+ years of experience in data analysis, with at least 2 years in a leadership or senior analyst role.
  • Expertise in data analysis tools and software, including Excel, SQL, Python, R, and data visualization tools like Tableau or Power BI.
  • Strong leadership and team management skills, with a proven ability to mentor and develop talent.
  • Advanced analytical and problem-solving abilities, with experience in creating and interpreting complex data models.
  • Excellent communication and presentation skills, with the ability to convey data-driven insights to non-technical stakeholders.
  • Deep understanding of data governance, data quality, and best practices in data management.
  • Ability to manage multiple projects in a fast-paced environment, with a strategic and forward-thinking mindset.

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