Statistics/Data Analytics Associate

Role Overview: Are you seeking an exciting opportunity to join a dynamic and growing team in a fast-paced and intellectually stimulating environment This is a unique chance for you to work as a Statistics and Analytics Professional within the CO&D WKO Data Management team. Utilize your expertise in statistical techniques to deliver actionable insights and support data-driven decision-making. Join us and become part of a team that values innovation, analytical rigor, and excellence in quantitative research and data analysis. Key Responsibilities: - Apply statistical techniques such as regression, hypothesis testing, time series analysis, and clustering to analyze business data and uncover insights. - Calculate descriptive statistics including mean, median, mode, variance, standard deviation, and percentiles to summarize data characteristics. - Conduct inferential statistical analyses using hypothesis testing, confidence intervals, p-values, t-tests, chi-square tests, and ANOVA. - Utilize probability theory by working with probability distributions, Bayes theorem, and random variables to model uncertainty. - Perform regression analysis with linear, logistic, and multivariate models, including thorough model diagnostics. - Implement sampling methods such as simple random, stratified, and cluster sampling, and determine appropriate sample sizes. - Analyze time series data for trends, seasonality, and forecasting using ARIMA and related models. - Demonstrate proficiency in R, Python (NumPy, pandas, SciPy, statsmodels), SAS, SPSS, and Stata for statistical analysis. - Partner with business stakeholders to translate business questions into structured analyses and actionable recommendations. - Clean, organize, and validate data to ensure the accuracy and reliability of analytical results. - Develop dashboards and reports in Tableau for effective data visualization and business consumption, and use Python for advanced analytics and automation. Qualifications Required: - Bachelors or Masters degree in Statistics, Mathematics, Data Science, Economics or related field. - 6+ years of experience in data analytics, business intelligence, or a similar role. - Strong foundation in Statistics (hypothesis testing, probability, regression, experimental design, sampling methods). - Proficiency in SQL for data extraction and manipulation. - Ability to work with large, complex datasets and draw actionable insights. - Excellent problem-solving, logical thinking, and business acumen. - Strong communication skills to explain technical findings to non-technical stakeholders.,