Deputy Manager - Data Analytics

As a Data Analyst, you will be responsible for analyzing large datasets to identify trends and shape strategic decisions. Your role will involve developing statistical models to solve complex problems with user-centric solutions and creating impactful dashboards and reports to track key performance indicators (KPIs). Key Responsibilities: - Analyze large datasets to identify trends and shape strategic decisions - Develop statistical models to solve complex problems with user-centric solutions - Create impactful dashboards and reports to track key performance indicators (KPIs) - Collaborate with cross-functional teams to align analytical support with product innovation - Perform exploratory data analysis (EDA) to uncover insights for decision-making - Present findings using compelling storytelling to simplify complex data - Ensure data integrity through validation and cleaning processes - Design and optimize ETL workflows for seamless data processing - Utilize PySpark for big data analysis and leverage cloud platforms (AWS, GCP, Azure) for storage and computation Qualifications Required: - Proficiency in data analysis and statistical modeling - Experience with data visualization tools and dashboard creation - Strong communication skills to present findings and insights effectively - Knowledge of ETL workflows and data processing techniques - Familiarity with PySpark and cloud platforms such as AWS, GCP, and Azure Please Note: No additional details of the company were provided in the job description. As a Data Analyst, you will be responsible for analyzing large datasets to identify trends and shape strategic decisions. Your role will involve developing statistical models to solve complex problems with user-centric solutions and creating impactful dashboards and reports to track key performance indicators (KPIs). Key Responsibilities: - Analyze large datasets to identify trends and shape strategic decisions - Develop statistical models to solve complex problems with user-centric solutions - Create impactful dashboards and reports to track key performance indicators (KPIs) - Collaborate with cross-functional teams to align analytical support with product innovation - Perform exploratory data analysis (EDA) to uncover insights for decision-making - Present findings using compelling storytelling to simplify complex data - Ensure data integrity through validation and cleaning processes - Design and optimize ETL workflows for seamless data processing - Utilize PySpark for big data analysis and leverage cloud platforms (AWS, GCP, Azure) for storage and computation Qualifications Required: - Proficiency in data analysis and statistical modeling - Experience with data visualization tools and dashboard creation - Strong communication skills to present findings and insights effectively - Knowledge of ETL workflows and data processing techniques - Familiarity with PySpark and cloud platforms such as AWS, GCP, and Azure Please Note: No additional details of the company were provided in the job description.