Tagcor

Data Analysis & PowerBI Sql Data exploration Predictive modeling Statistical analysis Python or R

Responsibilities:

Lead the development and execution of advanced analytics projects, including data exploration, predictive modeling, and statistical analysis.
Define the analytical roadmap, ensuring alignment with business objectives and priorities.
Work closely with stakeholders to understand business requirements and translate them into analytical solutions.
Conduct in-depth data analysis using various tools and techniques to uncover trends, patterns, and insights.
Develop and deploy predictive models, machine learning algorithms, and statistical models to support business decision-making.
Provide strategic guidance on data collection, data quality, and data integration best practices.
Collaborate with data engineering teams to ensure efficient data preparation and integration for advanced analytics initiatives.
Communicate complex analytical findings and insights to non-technical stakeholders in a clear and concise manner.
Stay updated with emerging trends, tools, and techniques in the field of advanced analytics and data science.
Mentor and coach junior analysts, providing guidance and support in their professional growth.

Requirements:

Bachelor's or Master's degree in a quantitative field (e.g., Statistics, Mathematics, Computer Science, Data Science).
Proven experience in advanced analytics, data mining, predictive modeling, and statistical analysis.
Proficiency in programming languages such as Python or R for data manipulation, statistical modeling, and machine learning.
Strong understanding of statistical concepts and machine learning algorithms.
Experience working with large and complex datasets, using SQL or similar query languages.
Familiarity with data visualization tools such as Tableau, Power BI, or similar.
Excellent analytical thinking and problem-solving skills, with the ability to derive actionable insights from data.
Effective communication skills, with the ability to present complex ideas and findings to both technical and non-technical audiences.
Leadership qualities, with the ability to drive and manage advanced analytics projects from inception to implementation.
Strong organizational skills, with the ability to prioritize and manage multiple projects simultaneously.