Analytics Specialist - Statistics

Develop, validate, and implement advanced statistical models, including mixed effects models, structural equation modelling, generalized additive models (GAMs), Bayesian modelling, and hierarchical models to address complex business challenges


Analyze large datasets using statistical techniques to extract actionable insights and trends


Collaborate with stakeholders to understand business needs and translate them into analytical solutions


Present findings and recommendations clearly to both technical and non-technical audiences


Stay current with industry trends, statistical methodologies, and best practices in data analysis


Document methodologies and results, ensuring transparency and reproducibility of models


Conduct exploratory data analysis to inform model development and improve accuracy


Participate in continuous improvement initiatives to enhance modelling processes and tools



Qualifications:
Master s degree or above in Statistical Sciences


Proven experience in statistical modeling, data analysis, and predictive analytics


Very strong proficiency in statistical software (e

g

, R, Python, SAS, SPSS) and data visualization tools (e

g

, Tableau, Power BI)


Strong understanding of advanced statistical techniques, including regression analysis, time series forecasting, mixed effects models, structural equation modeling, generalized linear models (GLMs), machine learning algorithms (e

g

, decision trees, random forests, support vector machines), and Bayesian inference


Excellent problem-solving skills and attention to detail


Strong communication skills, with the ability to convey complex statistical concepts to diverse audiences


Experience with data management and database systems (e

g

, SQL) is a plus