AWS Business/Product Analyst

As a Product and Business Analyst, you will be responsible for conducting detailed analysis on the performance of product features and assessing the impact of product rollouts on business objectives. Your key responsibilities will include: - Utilizing advanced business analysis techniques such as data projections, Profit & Loss (PnL) analysis, market trend analysis, and customer segmentation. - Providing insights into product performance metrics including user engagement, churn rates, acquisition cost, and lifetime value (LTV). - Working with cross-functional teams including product and engineering to define and refine product strategies based on data-driven insights. - Creating and modifying Analytics Dashboards and Reports to track KPIs and business performance. - Working with large datasets in MySQL, BigQuery, and other databases to fetch and analyze data relevant to product development and business goals. - Developing and executing SQL queries to extract data for reporting and ad-hoc analyses. - Collaborating with the data science team to integrate AI/ML models for predictive analytics and process automation. - Identifying trends, patterns, and anomalies from various data sources to provide business intelligence that drives product growth and operational efficiency. - Leading data visualization efforts using tools like Tableau, Power BI, or Looker to communicate findings effectively to stakeholders. - Providing actionable recommendations based on data insights to drive product and business decisions. In addition to the key responsibilities outlined above, you will be expected to work closely with stakeholders such as the Product Team and QA Team. Qualifications and Skills required for this role include: - 5+ years of experience as a Product and Business Analyst or in a similar analytical role with a strong focus on digital product analysis. - Strong experience in conducting business analysis, including market research, data projections, financial forecasting, and PnL analysis. - Advanced proficiency in SQL (MySQL, BigQuery) for complex data querying and data manipulation. - Hands-on experience with data visualization tools such as Tableau, Power BI, or Looker. - Proficiency in Python for data analysis, automation, and report generation. - Familiarity with libraries like Pandas, NumPy, Matplotlib, and Seaborn is a plus. - Experience with AI-driven tools and machine learning models to provide insights from data (e.g., integrating AI/ML tools into product strategies). - Familiarity with tools like Google Analytics, Mixpanel, or Amplitude for tracking digital product metrics. - Experience in using statistical tools and techniques for market analysis and customer insights (e.g., R, SPSS). - Expertise in managing and analyzing large datasets and experience working with cloud platforms such as AWS, GCP, or Azure. - Strong communication skills with the ability to present complex data insights in a simple and understandable manner to both technical and non-technical stakeholders. - Experience working in an Agile or Scrum environment. Personal attributes that will be beneficial for this role include an analytical mindset, agile mindset, problem resolution skills, team management skills, and the ability to work under pressure and meet deadlines. As a Product and Business Analyst, you will be responsible for conducting detailed analysis on the performance of product features and assessing the impact of product rollouts on business objectives. Your key responsibilities will include: - Utilizing advanced business analysis techniques such as data projections, Profit & Loss (PnL) analysis, market trend analysis, and customer segmentation. - Providing insights into product performance metrics including user engagement, churn rates, acquisition cost, and lifetime value (LTV). - Working with cross-functional teams including product and engineering to define and refine product strategies based on data-driven insights. - Creating and modifying Analytics Dashboards and Reports to track KPIs and business performance. - Working with large datasets in MySQL, BigQuery, and other databases to fetch and analyze data relevant to product development and business goals. - Developing and executing SQL queries to extract data for reporting and ad-hoc analyses. - Collaborating with the data science team to integrate AI/ML models for predictive analytics and process automation. - Identifying trends, patterns, and anomalies from various data sources to provide business intelligence that drives product growth and operational efficiency. - Leading data visualization efforts using tools like Tableau, Power BI, or Looker to communicate findings effectively to stakeholders. - Providing actionable recommendations based on data insights to drive product and business decisions. In addition to the key responsibilities outlined above, you will be expected to work closely with stakeholders such as the Product Team and QA Team. Qualification