Data Analysis and Statistical Modeling Associate

2 days ago

Makati, Philippines Reyes Tacandong & Co. Full time

Overview Job Title: Data Analysis and Statistical Modeling Associate Summary of the Role: The Data Analysis and Statistical Modeling (DASM) Associate is responsible for observing trends and patterns in data and for developing and implementing statistical models for data analytics projects and use cases in a professional services firm. The DASM Associate will collaborate with the Data Analytics Practice to optimize the use of data analytics technologies and methodologies for engagements in the following areas: internal audit and risk consulting; compliance and regulatory consulting; process quality management; transactions advisory; digital trust services; audit; and taxation. The DASM Associate will work alongside data analysts, business analysts, data visualization specialists, and data engineers to gather, process, and analyze data to build statistical models that predict future outcomes, identify trends, and support business recommendations. Primary Responsibilities Develop organized methods for the experimentation and analysis of datasets to identify patterns and trends, draw correlations, extrapolate likely outcomes, and estimate the effect of various possible decisions on a given metric or outcome. Develop and implement statistical models for data analytics projects. Collaborate with business analysts and project teams to understand business problems and develop solutions involving statistical modeling and data science. Communicate results of analysis to project team leaders and stakeholders clearly and concisely. Stay up to date on the latest trends in data science and machine learning. Qualifications Bachelor's degree in Statistics or a related field. Strong understanding of statistical concepts and principles essential for understanding relationships between variables, including probabilities, sampling, hypothesis testing, and data distribution. Knowledge of statistical techniques to build models (e.g., time series analysis, linear regression, logistic regression, decision trees, random forests). Excellent communication and presentation skills. Additional competencies (advantageous): Background in Risk Modeling and Validation. Background in data mining and machine learning techniques. Strong programming skills in Python, R, or other statistical programming languages. #J-18808-Ljbffr

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