Proactively explore datasets to identify hidden patterns, emerging trends, and key insights
Employ data mining techniques to extract relevant features from raw data, creating new variables that improve the performance of analytical models and uncover hidden patterns.
Use segmentation and clustering algorithms to identify distinct customer groups or market segments, enabling targeted marketing campaigns and personalized customer experiences.
Apply predictive modeling techniques to uncover patterns and trends, validate model performance, and translate complex modeling output into clear, actionable recommendations for business improvement.
Implement rigorous data quality checks and validation processes to ensure the accuracy, completeness, and integrity of data used for analysis and reporting, maintaining the reliability of insights and recommendations.
Create BI/Visualization dashboards using Power BI/Qlik/other to visualize insights, trends and patterns
Collaborate with technical stakeholders such as data architects, data modelers, enterprise architects, project managers, and platform architects to implement the large-scale data analytics and BI solution.
Drive resolution of issues and ensure alignment across stakeholders, contributing to the overall data-driven culture of the organization.
Proactively explore datasets to identify hidden patterns, emerging trends, and key insights
Employ data mining techniques to extract relevant features from raw data, creating new variables that improve the performance of analytical models and uncover hidden patterns.
Use segmentation and clustering algorithms to identify distinct customer groups or market segments, enabling targeted marketing campaigns and personalized customer experiences.
Apply predictive modeling techniques to uncover patterns and trends, validate model performance, and translate complex modeling output into clear, actionable recommendations for business improvement.
Implement rigorous data quality checks and validation processes to ensure the accuracy, completeness, and integrity of data used for analysis and reporting, maintaining the reliability of insights and recommendations.
Create BI/Visualization dashboards using Power BI/Qlik/other to visualize insights, trends and patterns
Collaborate with technical stakeholders such as data architects, data modelers, enterprise architects, project managers, and platform architects to implement the large-scale data analytics and BI solution.
Drive resolution of issues and ensure alignment across stakeholders, contributing to the overall data-driven culture of the organization.
Bachelor's degree in Data Science, Data Analytics, Computer Science, Statistics, Economics or a related field.
3+ years writing complex SQL Queries, Python, R, Dynamic queries, and database objects such as Stored Procedures, Functions, Packages, and triggers as well as working with large data sets.
2+ years experience in Google Big Query and Google Cloud Platform.
1+ year experience on BI solutions using Power BI/Looker /Looker Studio/Qlik
Experience in engaging in discussions focused on analytics implementation, customization, and automation of data collection processes.
Excellent problem-solving and analytical skills.
Detailed oriented with strong communication and collaboration skills.
Ability to work independently and as part of a team.
Must be able to manage time effectively within a complex environment, and always remain composed in the event of conflicting priorities.
