Principal Data Analyst
1 month ago
Job Summary: The Principal Data Analyst will serve as a senior expert in data analysis, leading the development of advanced analytical models and providing strategic insights to guide business decisions. This role involves working closely with senior leadership, managing complex data projects, and mentoring other analysts. The Principal Data Analyst will be responsible for transforming data into actionable intelligence, optimizing business processes, and driving innovation through data-driven strategies.
Responsibilities:
- Lead the design and development of advanced data models, algorithms, and analytical frameworks to solve complex business problems.
- Serve as a strategic advisor to senior leadership, providing data-driven insights that inform key business decisions.
- Manage large-scale data projects, ensuring timely and accurate delivery of high-quality analysis.
- Mentor and guide a team of data analysts, fostering a culture of continuous learning and improvement.
- Collaborate with cross-functional teams to identify data needs and opportunities for leveraging data to drive business growth.
- Develop and implement data governance practices to ensure data accuracy, integrity, and security.
- Analyze large and complex datasets to uncover trends, patterns, and insights that lead to actionable business strategies.
- Stay current on industry trends, emerging technologies, and best practices in data analysis and business intelligence.
- Present complex data findings to non-technical stakeholders in a clear, concise, and actionable manner.
Qualifications:
- Bachelor's degree in Data Science, Statistics, Computer Science, Economics, or a related field; an advanced degree or relevant certifications (e.g., Tableau, SQL, Python) is highly desirable.
- 7+ years of experience in data analysis, with a proven track record of leading complex projects and delivering strategic insights.
- Expertise in data analysis tools and software, including Excel, SQL, Python, R, and data visualization tools like Tableau or Power BI.
- Strong leadership and mentoring skills, with experience in guiding and developing a team of analysts.
- Advanced analytical and problem-solving abilities, with deep experience in building and interpreting sophisticated data models.
- Excellent communication and presentation skills, with the ability to translate complex data into actionable insights for senior leadership.
- In-depth understanding of data governance, data quality, and best practices in data management.
- Ability to manage multiple high-impact projects in a fast-paced environment, with a strategic and forward-thinking mindset.
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