Data Analyst
Capgemini
Hands-on experience in data science or analytics roles, with a focus on marketing analytics
• MS or PhD in mathematics, statistics, computer science, economics, or a related quantitative field, or equivalent experience
• Proficiency in at least one statistical or programming language (e.g., R, Python) for data manipulation and analysis
• Expertise in statistical modeling, experimental design, inferential statistics, and machine learning, particularly in marketing mix models, matched market tests, attribution models, and digital analytics
• Familiarity with marketing modeling techniques, including ad stock and carryover effects, various transformations to capture diminishing returns effects in linear models, modeling approaches for capturing the combined effects of media investments, creative decay/wear-in/wear-out, and full funnel measurement
• Proficient in using data visualization tools (DOMO) to present data in a visually engaging manner
• Strong communication skills and ability to explain complex analytical concepts to individuals without a technical background
• Leadership experience, including the ability to lead and mentor a team of analysts
• Familiarity with the gaming or entertainment industry is preferred
• Proficiency in extracting large datasets from various relational databases using SQL (Amazon Redshift, Oracle, Teradata preferred)
• Experience in developing and deploying data pipelines and working with data ETL and RESTful APIs
• Familiarity with e-commerce analytics topics, including digital tactics, targeting and customer segmentation, lifetime value forecasting, and incremental response modeling"
Job Description
Data analysts import, inspect, clean, transform, validate, model, or interpret collections of data with regard to the business goals of the company. They ensure that the data sources and repositories provide consistent and reliable data. Data analysts use different algorithms and IT tools as demanded by the situation and the current data. They might prepare reports in the form of visualizations such as graphs, charts, and dashboards.
Job Description - Grade Specific
The roles plays a critical role in leveraging data analysis to provide insights and recommendations to the stakeholders. Technical skills combined with consulting skills to support decision making, drive business growth, and deliver value through data driven insights.
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