Job Title: Senior Data Analyst
Job Overview
We are looking for a skilled and detail-oriented Senior Data Analyst to join our team. In this role, you will be responsible for analyzing complex data sets, providing actionable insights, and supporting data-driven decision-making across the organization. You will work closely with various departments to ensure data accuracy, integrity, and effective utilization to drive business success.
Responsibilities
- Analyze large and complex data sets to identify trends, patterns, and insights that support business objectives.
- Develop and implement advanced data models, reports, and dashboards to provide actionable insights and support strategic decision-making.
- Collaborate with cross-functional teams to understand business needs and translate them into data-driven solutions.
- Design and conduct data analysis projects, including statistical analysis, data mining, and predictive modeling.
- Ensure data accuracy and integrity by validating data sources, conducting quality checks, and implementing best practices for data management.
- Prepare and present detailed reports and visualizations to senior management, highlighting key findings and recommendations.
- Use data analysis tools and techniques to identify opportunities for process improvement and operational efficiency.
- Stay current with industry trends, emerging technologies, and best practices in data analysis and data management.
- Mentor and support junior data analysts, providing guidance and feedback to enhance team capabilities.
- Manage and prioritize multiple data analysis projects to meet deadlines and business needs.
Qualifications
- Bachelor’s degree in Data Science, Statistics, Computer Science, Business Analytics, or a related field; Master’s degree is a plus.
- 5+ years of experience in data analysis, with a strong focus on working with large datasets and complex analytical tasks.
- Proficiency in data analysis tools and software, such as SQL, Python, R, and data visualization tools (e.g., Tableau, Power BI).
- Strong understanding of statistical methods, data modeling, and data mining techniques.
- Excellent analytical, problem-solving, and critical-thinking skills.
- Strong communication and presentation abilities, with experience conveying complex data insights to non-technical stakeholders.
- Ability to work collaboratively with cross-functional teams and manage multiple projects simultaneously.
- Detail-oriented with a commitment to data accuracy and integrity.
- Experience with data management and data governance practices is a plus.