Conduct analysis of large and complex datasets to extract meaningful insights for CSG.
Interpret data trends, patterns, and anomalies to inform strategic decision-making.
Perform detailed data analysis and develop complex data models to derive actionable insights and support decision-making processes.
Design, develop, and maintain interactive dashboards and reports using Tableau.
Clean and preprocess raw data to ensure its quality, completeness, and usability for analytical purposes and collaborate with cross-functional teams to define data preprocessing pipelines.
Identify and create relevant data features to enhance model performance and accuracy.
Work closely with domain experts to extract valuable insights and incorporate to improve data processes.
Prepare comprehensive reports for executive leadership and stakeholders, effectively communicating trends, patterns, and predictions through clear and insightful visualizations and narratives.
Collaborate with stakeholders to understand business requirements and translate them into data-driven solutions.
Work cross-functionally with engineering, product, and business teams to integrate data science solutions into existing systems.
Requirements
Bachelor’s Degree in Data Science, Economics, Finance, Math/Statistics or a related field. PhD preferred.
A minimum of 2-3 years of professional experience in roles requiring data, business analytics, financial due diligence, strategic planning and business acumen.
Background as an engagement manager in Big 4, management consulting or strategy highly preferred.
Technical expertise regarding data models, database design development, data mining, and segmentation techniques.
Proficiency with databases (SQL, etc.).
Strong knowledge of statistics and experience using statistical packages for analyzing datasets (Python/R, Excel etc.)
Experience with data visualization tools (e.g., Tableau).
Proven ability to synthesize multiple sources of information into a compelling strategic point of view.
Strong interpersonal and communication skills, collaborating effectively with stakeholders, communicating complex topics using simple language and building organizational consensus.
Familiarity with data and analytics concepts, able to work with data professionals to translate data-driven insights into actionable recommendations.
Demonstrated ability to work in a cross-functional team environment, fostering collaboration and alignment.