Data Analytics and Business Intelligence Analyst

Core Responsibilities:

• Leads discussions with business leaders and stakeholders to understand data and analysis needs and develop technical requirements.
• Advises on the relevancy of data and identifies alternative data sources as needed to ensure analytics requested by business stakeholders can be completed.
• Analyzes large, complex data to determine actionable business insights using self-service analytics and reporting tools.
• Queries disparate big data platforms such as Teradata, SQL Server, Hadoop, and AWS.
• Combines data as needed from disparate data sources to complete analysis.
• Identifies key business drivers and insights by conducting exploratory data analysis and hypothesis testing.
• Oversees development of forecasting models to predict sales, demand and other key business metrics.
• Reviews analyses of the results of campaigns, offers or initiatives to measure their effectiveness and identifies opportunities for improvement.
• Communicates findings clearly and concisely through narrative-driven presentations and effective data visualizations to Company executives and decisionmakers.
• Promotes and evangelizes a culture of excellence, data driven discussions, healthy skepticism, intellectual curiosity, knowledge sharing, and teamwork.
• Stays current with emerging trends in analytics, statistics, and machine learning and applies them to business challenges.
• Consistent exercise of independent judgment and discretion in matters of significance.
• Regular, consistent and punctual attendance. Must be able to work nights and weekends, variable schedule(s) as necessary.
• Other duties and responsibilities as assigned

Requirements:

• Must have at least 8+ years of relevant experience in Data Analytics and Business Intelligence
• Excellent English communication skills
• Expert-level proficiency in SQL and Python
• Expertise in advanced analytics techniques, including predictive modeling, optimization, and simulation, and ability to develop and deploy sophisticated machine learning algorithms
• Outstanding communication skills for thoroughly understanding business requirements and effectively conveying complex analysis findings and related recommendations
• Mastery of multiple business intelligence tools and platforms. Tableau and Power BI preferred
• Proficient at setting up and managing data bricks environment/cluster
• Proficient at API Management

Nice to have skills:

• Cloud Computing: Familiarity with cloud platforms like AWS, Azure, or Google Cloud for scalable data storage, processing, and analytics solutions.
• Business Acumen: Strong understanding of business processes and industry-specific knowledge to provide more relevant and impactful insights.

Core Responsibilities:

• Leads discussions with business leaders and stakeholders to understand data and analysis needs and develop technical requirements.
• Advises on the relevancy of data and identifies alternative data sources as needed to ensure analytics requested by business stakeholders can be completed.
• Analyzes large, complex data to determine actionable business insights using self-service analytics and reporting tools.
• Queries disparate big data platforms such as Teradata, SQL Server, Hadoop, and AWS.
• Combines data as needed from disparate data sources to complete analysis.
• Identifies key business drivers and insights by conducting exploratory data analysis and hypothesis testing.
• Oversees development of forecasting models to predict sales, demand and other key business metrics.
• Reviews analyses of the results of campaigns, offers or initiatives to measure their effectiveness and identifies opportunities for improvement.
• Communicates findings clearly and concisely through narrative-driven presentations and effective data visualizations to Company executives and decisionmakers.
• Promotes and evangelizes a culture of excellence, data driven discussions, healthy skepticism, intellectual curiosity, knowledge sharing, and teamwork.
• Stays current with emerging trends in analytics, statistics, and machine learning and applies them to business challenges.
• Consistent exercise of independent judgment and discretion in matters of significance.
• Regular, consistent and punctual attendance. Must be able to work nights and weekends, variable schedule(s) as necessary.
• Other duties and responsibilities as assigned

Requirements:

• Must have at least 8+ years of relevant experience in Data Analytics and Business Intelligence
• Excellent English communication skills
• Expert-level proficiency in SQL and Python
• Expertise in advanced analytics techniques, including predictive modeling, optimization, and simulation, and ability to develop and deploy sophisticated machine learning algorithms
• Outstanding communication skills for thoroughly understanding business requirements and effectively conveying complex analysis findings and related recommendations
• Mastery of multiple business intelligence tools and platforms. Tableau and Power BI preferred
• Proficient at setting up and managing data bricks environment/cluster
• Proficient at API Management

Nice to have skills:

• Cloud Computing: Familiarity with cloud platforms like AWS, Azure, or Google Cloud for scalable data storage, processing, and analytics solutions.
• Business Acumen: Strong understanding of business processes and industry-specific knowledge to provide more relevant and impactful insights.