Senior Advanced Analytics Developer

We are seeking a highly skilled and results-driven Senior Data Analyst to spearhead our advanced analytics initiatives. As the Senior Data Analyst, you will be responsible for driving our organization's data-driven decision-making processes by leveraging advanced analytical techniques and cutting-edge technologies. Your role will involve leading a team of talented analysts, collaborating with cross-functional teams, and providing strategic guidance to uncover valuable insights from complex data sets.

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.